Τοπικά, καθοδηγούμενα από εκπαιδευτές live Business Intelligence (BI) μαθήματα επιδεικνύουν μέσω πρακτικών πρακτικών πώς να κατανοήσουν, να σχεδιάσουν και να εφαρμόσουν BI σε έναν οργανισμό. Η εκπαίδευση για το BI είναι διαθέσιμη ως "onsite live training" ή "remote live training". Η επιτόπια κατάρτιση σε πραγματικό χρόνο μπορεί να πραγματοποιηθεί σε τοπικό επίπεδο στις εγκαταστάσεις του πελάτη Ελλάδα ή σε εταιρικά κέντρα κατάρτισης NobleProg στο Ελλάδα . Η απομακρυσμένη ζωντανή προπόνηση πραγματοποιείται μέσω μιας διαδραστικής, απομακρυσμένης επιφάνειας εργασίας. NobleProg - Ο τοπικός παροχέας εκπαίδευσης
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Testimonials
Βοήθεια του εκπαιδευτή.
Urszula Kuza
Course: Tableau Advanced
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Το γεγονός ότι ετοιμάσαμε λύσεις για συγκεκριμένα προβλήματα + δείχνοντας ένα ευρύ φάσμα εφαρμογών + πέρασε μια συλλογή γνώσεων.
Wojciech Michalak
Course: Power BI
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ασκήσεις, καθώς είναι ο μόνος τρόπος για να μάθεις, με αποκατάσταση
David Rushe
Course: Tableau Advanced
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Ο εκπαιδευτής έχει πολύ ευρεία γνώση, μπορεί να το μεταφέρει. Συμπεριλαμβάνει τους συμμετέχοντες να αλληλεπιδρούν και να επιλύουν τα προβλήματα που συναντώνται μαζί.
Nina Rokita
Course: Power BI
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Ο εκπαιδευτής ήταν σε συνεχή επαφή με τους αποδέκτες της εκπαίδευσης, προσαρμόζει το ρυθμό στις ανάγκες μας και λύνει τα προβλήματά μας σε συνεχή βάση και απαντά στις ερωτήσεις μας
Dominika Jaworska
Course: Power BI
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Η εκπαίδευση ήταν πολύ συνεπής, έμαθα για πολλές ενδιαφέρουσες λειτουργίες του προγράμματος.
Anna Klimczak
Course: Power BI
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Καλά προετοιμασμένοι, εξασκημένες ασκήσεις και γνώση του δασκάλου
Sandra Przewdzing
Course: Power BI
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Προσφέροντας μια πιο εμπεριστατωμένη εμβέλεια σχετικά με την Power BI περισσότερο από οποιοδήποτε εκπαιδευτικό ίδρυμα στο οποίο συναντήθηκα.
Mohammed Al Ameer
Course: Power BI
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Ασκήσεις, πρόσθετες συμβουλές από τον εκπαιδευτή, ευελιξία για να προσθέσετε περισσότερες πληροφορίες όταν ζητήσετε
Anna Alechno
Course: Power BI
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Δυνατότητα ισχύος BI
British American Shared Services Europe
Course: Power BI
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δύναμη στο διαδίκτυο Q & A
Cristina Palii
Course: Power BI
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Τμήμα οπτικοποίησης
Alexandra Grigoriu
Course: Power BI
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Καλή κάλυψη όλων των θεμάτων Power BI σχετικών και χρήσιμων για τη δημιουργία αξιόπιστων πινάκων ελέγχου και αναφορών ως αρχάριος.
Gabriel Purghel
Course: Power BI
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Μου άρεσε η εστίαση και η έμφαση στην αυτοδιδασκαλία, το παιχνίδι και την ανάγνωση σε εξωτερικούς πόρους. Καμία εφαρμογή δεν μπορεί να διδαχθεί σε 2 ημέρες και η αυτοδιδασκαλία είναι πολύ σημαντική
Vlad Andrei Bucur
Course: Power BI
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ο εκπαιδευτής ήταν ανοικτός να απαντήσει σε ερωτήσεις και να δώσει λύσεις στα πραγματικά παραδείγματα.
British American Shared Services Europe
Course: Power BI
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Εργασία με DAX και αναφορά
Marine Benefits, Inc.
Course: Power BI for Business Analysts
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το τελευταίο μέρος είναι η ασφάλεια
Marine Benefits, Inc.
Course: Power BI for Business Analysts
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άσκηση κατάρτισης
Edward Dan Dree Manalad - Marine Benefits, Inc.
Course: Power BI for Business Analysts
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Η εκπαίδευση πραγματοποιήθηκε από το μηδέν, γεγονός που επέτρεψε σε άτομα που δεν γνωρίζουν το σύστημα να περιηγούνται αποτελεσματικά στην εφαρμογή. Επιπλέον ασκήσεις στα παραδείγματά μας ήταν επίσης μια προστιθέμενη αξία.
Rafał Starus - TUiR WARTA S.A
Course: JasperSoft BI
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Η προσέγγιση του Leader. Καλή διδακτική
Krzysztof Zimerman - CREDIT SUISSE (Poland) Sp. Z o.o.
Course: Visual Reporting and Analysis with Tableau
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Πολλές νέες πληροφορίες σχετικά με τη σύνδεση με βάσεις δεδομένων κ.λπ.
CREDIT SUISSE (Poland) Sp. Z o.o.
Course: Visual Reporting and Analysis with Tableau
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την ικανότητα του δασκάλου, δεν έμειναν αναπάντητες οι ερωτήσεις
Wojciech Hudyka - IGT Poland Sp. z o.o.
Course: Tableau for Developers
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Μάθηση για τη χρήση του εργαλείου
JOSÉ ALBERTO PABELLO ALAMILLA - Walmart
Course: Tableau Avanzado
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Τα υπολογιζόμενα πεδία και διαφορετικές χρήσεις
HUMBERTO IBARRA GARCIA - Walmart
Course: Tableau Avanzado
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κατανοητό τρόπο μετάδοσης της γνώσης, ένας μεγάλος αριθμός πρακτικών ασκήσεων
Course: Power BI
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Μου άρεσε η προσαρμογή που έγινε στις ανάγκες και τις γνώσεις μου
Rio TInto
Course: Power BI para Desarrolladores
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Η γνώση του Tableau "δημιουργήθηκε" με έναν σταθερό τρόπο, ήταν σαφές ότι ο εκπαιδευτής ήξερε πώς καλύτερα να εισαγάγει τους newbies στο Tableau , αυτό το έκανε πολύ εύκολο.
Siemens Gamesa c/o Hemsley Fraser
Course: Tableau Fundamentals
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Ο εκπαιδευτής έφυγε και ανακάλυψε απαντήσεις στις ερωτήσεις που είχαμε ότι δεν ήξερε.
Siemens Gamesa c/o Hemsley Fraser
Course: Tableau Fundamentals
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Ήταν πραγματικά επωφελής από το αντικείμενο.
Bristol City Council
Course: Power BI
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Η γνώση του εκπαιδευτή ήταν πραγματικά καλή και ήταν σε θέση να απαντήσει σε τυχόν ερωτήσεις που τέθηκαν σχετικά με το προϊόν.
Bristol City Council
Course: Power BI
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Εγώ κυρίως επωφελήθηκα από τη μάθηση για τα γραφήματα του Gantt ..
Sarah Drummond - Siemens Gamesa c/o Hemsley Fraser
Course: Tableau Advanced
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Ο εκπαιδευτής είναι εκλεπτυσμένος, ήταν σε θέση να παίξει με τα δεδομένα μας χρησιμοποιώντας τις τεράστιες γνώσεις του για την πορεία, παρά το φόντο με το έργο μας.
Mc Gyver Pascua - Sykes Asia, Inc.
Course: Power BI
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Απολάμβανα την εμπειρία στην εκμάθηση Power BI.
Sykes Asia, Inc.
Course: Power BI
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την προετοιμασία των πρώτων δεδομένων πριν από τη διάταξη.
Ayie Delos Santos - Sykes Asia, Inc.
Course: Power BI
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Μου αρέσει περισσότερο το θέμα του DAX, καθώς και η προθυμία του εκπαιδευτή να επιλύσει την ακατάλληλη έξοδο, μιλά με βάση το επίπεδο του κοινού που το καταλαβαίνει.
Anabelle Anore - Sykes Asia, Inc.
Course: Power BI
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Μου άρεσε η πραγματική εφαρμογή των διαλέξεων που παρείχε ο Τζόναθαν.
Sykes Asia, Inc.
Course: Power BI
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Το εργαλείο είναι πολύ ενδιαφέρον.
Pernod Ricard Hong Kong Limited
Course: Power BI for Business Analysts
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πολύ πρακτικό, χρησιμοποιώντας τα εσωτερικά μας δεδομένα για την πρακτική άσκηση.
Pernod Ricard Hong Kong Limited
Course: Power BI for Business Analysts
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Σαφής και οργανωμένος σε θέματα κατάρτισης. Καλό για τους ανθρώπους που δεν έχουν χρησιμοποιήσει ποτέ το PowerBI για να είναι σε θέση να δημιουργούν ευφυείς πίνακες ελέγχου και αναφορές.
Pernod Ricard Hong Kong Limited
Course: Power BI for Business Analysts
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Ελευθερία επικοινωνίας και διαφάνεια του εκπαιδευτή, ασκήσεις βασισμένες σε πραγματικά παραδείγματα / δεδομένα. Επιπλέον, μου άρεσε το γεγονός ότι αν κάποιος έθετε μια ερώτηση, ο εκπαιδευτής θα απαντούσε σε όλους. Go επίσης αξιέπαινο να επιστρέψουμε σε ένα από τα προβλήματα την επόμενη μέρα για να παρουσιάσουμε διάφορες επιλογές για την επίλυση αυτού του προβλήματος.
Artur Niestój - HSBC Service Delivery (Polska) Sp. z o.o.
Course: Data analysis with Tableau
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Πρακτικές ασκήσεις στον τομέα της απεικόνισης.
Magdalena Piorunek - HSBC Service Delivery (Polska) Sp. z o.o.
Course: Data analysis with Tableau
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Επωφελήθηκα από την καλή Εξήγηση και την ικανότητα αλλαγής θεμάτων όταν ζητήθηκε από τον εκπαιδευόμενο.
McArthurGlen
Course: Power BI
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Απολάμβανα ως επί το πλείστον την πολύ ζωντανή και ευκολία ..
Rey Jasper Matias - Sykes Asia, Inc.
Course: Power BI
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Ο εκπαιδευτής ακούσει τις ανάγκες του κοινού του όσο το δυνατόν καλύτερα και μπορέσαμε να εκπαιδεύσουμε ανάλογα με τις ανάγκες μας, ο Κώστας προετοίμασε υλικό συγκεκριμένα γύρω από ερωτήσεις σχετικά με τη βασική εκπαίδευση για την προηγμένη κατάρτιση, είχαν καταβληθεί πολλές προσπάθειες και εργασίες και εκτιμήθηκε.
Chloe Horton - Siemens Gamesa c/o Hemsley Fraser
Course: Tableau Advanced
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Το γεγονός ότι η εκπαίδευση ήταν προσαρμοσμένη στις απαιτήσεις μας, τις οποίες εισήγαγαν πριν ξεκινήσουμε. Επιπλέον, ο εκπαιδευτής έθεσε ή ανέπτυξε θέματα τα οποία επιλέχθηκαν σε συνεχή βάση ως πρόσθετα ή πιο ενδιαφέροντα για εμάς.
BNY Mellon (Poland) Sp. z o. o.
Course: JasperReports
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Από την άποψη της γνώσης των προϊόντων, είναι πραγματικά γνώστης και πολύ ανοιχτός για να απαντήσει σε ερωτήσεις.
Cherry Espinili - Infinit-O Manila
Course: Tableau Fundamentals
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Κυρίως ωφελούνταν από τις ασκήσεις και τις περιπτώσεις δειγμάτων.
Ann Olano - Infinit-O Manila
Course: Tableau Fundamentals
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Η εκπαίδευση προσαρμόζει την εκπαίδευση σύμφωνα με τις ανάγκες και τις γνώσεις μας. Κατανόησε την εμπειρία των συμμετεχόντων με το Power BI.
Cristian Tudor - Gilbarco ACIS SRL
Course: Creating Dashboards Using Microsoft Power BI
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Είναι συναρπαστικό να μάθετε ένα νέο προϊόν, αν και έχει ομοιότητες με το MS Excel είναι φυσικά διαφορετικό σε πολλές πτυχές
Recep Köroglu - European Patent Office
Course: Tableau Fundamentals
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Ασκήσεις
Giorgos Savorgiannakis - European Patent Office
Course: Tableau Fundamentals
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κατανοητό τρόπο μετάδοσης της γνώσης, ένας μεγάλος αριθμός πρακτικών ασκήσεων
Course: Power BI
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Business Intelligence Subcategories
Business Intelligence Course Outlines
Course Name
Duration
Overview
Course Name
Duration
Overview
35 hours
Overview
Advances in technologies and the increasing amount of information are transforming how business is conducted in many industries, including government. Government data generation and digital archiving rates are on the rise due to the rapid growth of mobile devices and applications, smart sensors and devices, cloud computing solutions, and citizen-facing portals. As digital information expands and becomes more complex, information management, processing, storage, security, and disposition become more complex as well. New capture, search, discovery, and analysis tools are helping organizations gain insights from their unstructured data. The government market is at a tipping point, realizing that information is a strategic asset, and government needs to protect, leverage, and analyze both structured and unstructured information to better serve and meet mission requirements. As government leaders strive to evolve data-driven organizations to successfully accomplish mission, they are laying the groundwork to correlate dependencies across events, people, processes, and information.
High-value government solutions will be created from a mashup of the most disruptive technologies:
- Mobile devices and applications
- Cloud services
- Social business technologies and networking
- Big Data and analytics
IDC predicts that by 2020, the IT industry will reach $5 trillion, approximately $1.7 trillion larger than today, and that 80% of the industry's growth will be driven by these 3rd Platform technologies. In the long term, these technologies will be key tools for dealing with the complexity of increased digital information. Big Data is one of the intelligent industry solutions and allows government to make better decisions by taking action based on patterns revealed by analyzing large volumes of data — related and unrelated, structured and unstructured.
But accomplishing these feats takes far more than simply accumulating massive quantities of data.“Making sense of thesevolumes of Big Datarequires cutting-edge tools and technologies that can analyze and extract useful knowledge from vast and diverse streams of information,” Tom Kalil and Fen Zhao of the White House Office of Science and Technology Policy wrote in a post on the OSTP Blog.
The White House took a step toward helping agencies find these technologies when it established the National Big Data Research and Development Initiative in 2012. The initiative included more than $200 million to make the most of the explosion of Big Data and the tools needed to analyze it.
The challenges that Big Data poses are nearly as daunting as its promise is encouraging. Storing data efficiently is one of these challenges. As always, budgets are tight, so agencies must minimize the per-megabyte price of storage and keep the data within easy access so that users can get it when they want it and how they need it. Backing up massive quantities of data heightens the challenge.
Analyzing the data effectively is another major challenge. Many agencies employ commercial tools that enable them to sift through the mountains of data, spotting trends that can help them operate more efficiently. (A recent study by MeriTalk found that federal IT executives think Big Data could help agencies save more than $500 billion while also fulfilling mission objectives.).
Custom-developed Big Data tools also are allowing agencies to address the need to analyze their data. For example, the Oak Ridge National Laboratory’s Computational Data Analytics Group has made its Piranha data analytics system available to other agencies. The system has helped medical researchers find a link that can alert doctors to aortic aneurysms before they strike. It’s also used for more mundane tasks, such as sifting through résumés to connect job candidates with hiring managers.
High-value government solutions will be created from a mashup of the most disruptive technologies:
- Mobile devices and applications
- Cloud services
- Social business technologies and networking
- Big Data and analytics
IDC predicts that by 2020, the IT industry will reach $5 trillion, approximately $1.7 trillion larger than today, and that 80% of the industry's growth will be driven by these 3rd Platform technologies. In the long term, these technologies will be key tools for dealing with the complexity of increased digital information. Big Data is one of the intelligent industry solutions and allows government to make better decisions by taking action based on patterns revealed by analyzing large volumes of data — related and unrelated, structured and unstructured.
But accomplishing these feats takes far more than simply accumulating massive quantities of data.“Making sense of thesevolumes of Big Datarequires cutting-edge tools and technologies that can analyze and extract useful knowledge from vast and diverse streams of information,” Tom Kalil and Fen Zhao of the White House Office of Science and Technology Policy wrote in a post on the OSTP Blog.
The White House took a step toward helping agencies find these technologies when it established the National Big Data Research and Development Initiative in 2012. The initiative included more than $200 million to make the most of the explosion of Big Data and the tools needed to analyze it.
The challenges that Big Data poses are nearly as daunting as its promise is encouraging. Storing data efficiently is one of these challenges. As always, budgets are tight, so agencies must minimize the per-megabyte price of storage and keep the data within easy access so that users can get it when they want it and how they need it. Backing up massive quantities of data heightens the challenge.
Analyzing the data effectively is another major challenge. Many agencies employ commercial tools that enable them to sift through the mountains of data, spotting trends that can help them operate more efficiently. (A recent study by MeriTalk found that federal IT executives think Big Data could help agencies save more than $500 billion while also fulfilling mission objectives.).
Custom-developed Big Data tools also are allowing agencies to address the need to analyze their data. For example, the Oak Ridge National Laboratory’s Computational Data Analytics Group has made its Piranha data analytics system available to other agencies. The system has helped medical researchers find a link that can alert doctors to aortic aneurysms before they strike. It’s also used for more mundane tasks, such as sifting through résumés to connect job candidates with hiring managers.
35 hours
Overview
Overview
Communications service providers (CSP) are facing pressure to reduce costs and maximize average revenue per user (ARPU), while ensuring an excellent customer experience, but data volumes keep growing. Global mobile data traffic will grow at a compound annual growth rate (CAGR) of 78 percent to 2016, reaching 10.8 exabytes per month.
Meanwhile, CSPs are generating large volumes of data, including call detail records (CDR), network data and customer data. Companies that fully exploit this data gain a competitive edge. According to a recent survey by The Economist Intelligence Unit, companies that use data-directed decision-making enjoy a 5-6% boost in productivity. Yet 53% of companies leverage only half of their valuable data, and one-fourth of respondents noted that vast quantities of useful data go untapped. The data volumes are so high that manual analysis is impossible, and most legacy software systems can’t keep up, resulting in valuable data being discarded or ignored.
With Big Data & Analytics’ high-speed, scalable big data software, CSPs can mine all their data for better decision making in less time. Different Big Data products and techniques provide an end-to-end software platform for collecting, preparing, analyzing and presenting insights from big data. Application areas include network performance monitoring, fraud detection, customer churn detection and credit risk analysis. Big Data & Analytics products scale to handle terabytes of data but implementation of such tools need new kind of cloud based database system like Hadoop or massive scale parallel computing processor ( KPU etc.)
This course work on Big Data BI for Telco covers all the emerging new areas in which CSPs are investing for productivity gain and opening up new business revenue stream. The course will provide a complete 360 degree over view of Big Data BI in Telco so that decision makers and managers can have a very wide and comprehensive overview of possibilities of Big Data BI in Telco for productivity and revenue gain.
Course objectives
Main objective of the course is to introduce new Big Data business intelligence techniques in 4 sectors of Telecom Business (Marketing/Sales, Network Operation, Financial operation and Customer Relation Management). Students will be introduced to following:
- Introduction to Big Data-what is 4Vs (volume, velocity, variety and veracity) in Big Data- Generation, extraction and management from Telco perspective
- How Big Data analytic differs from legacy data analytic
- In-house justification of Big Data -Telco perspective
- Introduction to Hadoop Ecosystem- familiarity with all Hadoop tools like Hive, Pig, SPARC –when and how they are used to solve Big Data problem
- How Big Data is extracted to analyze for analytics tool-how Business Analysis’s can reduce their pain points of collection and analysis of data through integrated Hadoop dashboard approach
- Basic introduction of Insight analytics, visualization analytics and predictive analytics for Telco
- Customer Churn analytic and Big Data-how Big Data analytic can reduce customer churn and customer dissatisfaction in Telco-case studies
- Network failure and service failure analytics from Network meta-data and IPDR
- Financial analysis-fraud, wastage and ROI estimation from sales and operational data
- Customer acquisition problem-Target marketing, customer segmentation and cross-sale from sales data
- Introduction and summary of all Big Data analytic products and where they fit into Telco analytic space
- Conclusion-how to take step-by-step approach to introduce Big Data Business Intelligence in your organization
Target Audience
- Network operation, Financial Managers, CRM managers and top IT managers in Telco CIO office.
- Business Analysts in Telco
- CFO office managers/analysts
- Operational managers
- QA managers
Communications service providers (CSP) are facing pressure to reduce costs and maximize average revenue per user (ARPU), while ensuring an excellent customer experience, but data volumes keep growing. Global mobile data traffic will grow at a compound annual growth rate (CAGR) of 78 percent to 2016, reaching 10.8 exabytes per month.
Meanwhile, CSPs are generating large volumes of data, including call detail records (CDR), network data and customer data. Companies that fully exploit this data gain a competitive edge. According to a recent survey by The Economist Intelligence Unit, companies that use data-directed decision-making enjoy a 5-6% boost in productivity. Yet 53% of companies leverage only half of their valuable data, and one-fourth of respondents noted that vast quantities of useful data go untapped. The data volumes are so high that manual analysis is impossible, and most legacy software systems can’t keep up, resulting in valuable data being discarded or ignored.
With Big Data & Analytics’ high-speed, scalable big data software, CSPs can mine all their data for better decision making in less time. Different Big Data products and techniques provide an end-to-end software platform for collecting, preparing, analyzing and presenting insights from big data. Application areas include network performance monitoring, fraud detection, customer churn detection and credit risk analysis. Big Data & Analytics products scale to handle terabytes of data but implementation of such tools need new kind of cloud based database system like Hadoop or massive scale parallel computing processor ( KPU etc.)
This course work on Big Data BI for Telco covers all the emerging new areas in which CSPs are investing for productivity gain and opening up new business revenue stream. The course will provide a complete 360 degree over view of Big Data BI in Telco so that decision makers and managers can have a very wide and comprehensive overview of possibilities of Big Data BI in Telco for productivity and revenue gain.
Course objectives
Main objective of the course is to introduce new Big Data business intelligence techniques in 4 sectors of Telecom Business (Marketing/Sales, Network Operation, Financial operation and Customer Relation Management). Students will be introduced to following:
- Introduction to Big Data-what is 4Vs (volume, velocity, variety and veracity) in Big Data- Generation, extraction and management from Telco perspective
- How Big Data analytic differs from legacy data analytic
- In-house justification of Big Data -Telco perspective
- Introduction to Hadoop Ecosystem- familiarity with all Hadoop tools like Hive, Pig, SPARC –when and how they are used to solve Big Data problem
- How Big Data is extracted to analyze for analytics tool-how Business Analysis’s can reduce their pain points of collection and analysis of data through integrated Hadoop dashboard approach
- Basic introduction of Insight analytics, visualization analytics and predictive analytics for Telco
- Customer Churn analytic and Big Data-how Big Data analytic can reduce customer churn and customer dissatisfaction in Telco-case studies
- Network failure and service failure analytics from Network meta-data and IPDR
- Financial analysis-fraud, wastage and ROI estimation from sales and operational data
- Customer acquisition problem-Target marketing, customer segmentation and cross-sale from sales data
- Introduction and summary of all Big Data analytic products and where they fit into Telco analytic space
- Conclusion-how to take step-by-step approach to introduce Big Data Business Intelligence in your organization
Target Audience
- Network operation, Financial Managers, CRM managers and top IT managers in Telco CIO office.
- Business Analysts in Telco
- CFO office managers/analysts
- Operational managers
- QA managers
14 hours
Overview
Datameer is a business intelligence and analytics platform built on Hadoop. It allows end-users to access, explore and correlate large-scale, structured, semi-structured and unstructured data in an easy-to-use fashion.
In this instructor-led, live training, participants will learn how to use Datameer to overcome Hadoop's steep learning curve as they step through the setup and analysis of a series of big data sources.
By the end of this training, participants will be able to:
- Create, curate, and interactively explore an enterprise data lake
- Access business intelligence data warehouses, transactional databases and other analytic stores
- Use a spreadsheet user-interface to design end-to-end data processing pipelines
- Access pre-built functions to explore complex data relationships
- Use drag-and-drop wizards to visualize data and create dashboards
- Use tables, charts, graphs, and maps to analyze query results
Audience
- Data analysts
Format of the course
- Part lecture, part discussion, exercises and heavy hands-on practice
In this instructor-led, live training, participants will learn how to use Datameer to overcome Hadoop's steep learning curve as they step through the setup and analysis of a series of big data sources.
By the end of this training, participants will be able to:
- Create, curate, and interactively explore an enterprise data lake
- Access business intelligence data warehouses, transactional databases and other analytic stores
- Use a spreadsheet user-interface to design end-to-end data processing pipelines
- Access pre-built functions to explore complex data relationships
- Use drag-and-drop wizards to visualize data and create dashboards
- Use tables, charts, graphs, and maps to analyze query results
Audience
- Data analysts
Format of the course
- Part lecture, part discussion, exercises and heavy hands-on practice
35 hours
Overview
Advances in technologies and the increasing amount of information are transforming how law enforcement is conducted. The challenges that Big Data pose are nearly as daunting as Big Data's promise. Storing data efficiently is one of these challenges; effectively analyzing it is another.
In this instructor-led, live training, participants will learn the mindset with which to approach Big Data technologies, assess their impact on existing processes and policies, and implement these technologies for the purpose of identifying criminal activity and preventing crime. Case studies from law enforcement organizations around the world will be examined to gain insights on their adoption approaches, challenges and results.
By the end of this training, participants will be able to:
- Combine Big Data technology with traditional data gathering processes to piece together a story during an investigation
- Implement industrial big data storage and processing solutions for data analysis
- Prepare a proposal for the adoption of the most adequate tools and processes for enabling a data-driven approach to criminal investigation
Audience
- Law Enforcement specialists with a technical background
Format of the course
- Part lecture, part discussion, exercises and heavy hands-on practice
In this instructor-led, live training, participants will learn the mindset with which to approach Big Data technologies, assess their impact on existing processes and policies, and implement these technologies for the purpose of identifying criminal activity and preventing crime. Case studies from law enforcement organizations around the world will be examined to gain insights on their adoption approaches, challenges and results.
By the end of this training, participants will be able to:
- Combine Big Data technology with traditional data gathering processes to piece together a story during an investigation
- Implement industrial big data storage and processing solutions for data analysis
- Prepare a proposal for the adoption of the most adequate tools and processes for enabling a data-driven approach to criminal investigation
Audience
- Law Enforcement specialists with a technical background
Format of the course
- Part lecture, part discussion, exercises and heavy hands-on practice
28 hours
Overview
Pentaho Open Source BI Suite Community Edition (CE) is a business intelligence package that provides data integration, reporting, dashboards, and load capabilities.
In this instructor-led, live training, participants will learn how to maximize the features of Pentaho Open Source BI Suite Community Edition (CE).
By the end of this training, participants will be able to:
- Install and configure Pentaho Open Source BI Suite Community Edition (CE)
- Understand the fundamentals of Pentaho CE tools and their features
- Build reports using Pentaho CE
- Integrate third party data into Pentaho CE
- Work with big data and analytics in Pentaho CE
Audience
- Programmers
- BI Developers
Format of the course
- Part lecture, part discussion, exercises and heavy hands-on practice
Note
- To request a customized training for this course, please contact us to arrange.
In this instructor-led, live training, participants will learn how to maximize the features of Pentaho Open Source BI Suite Community Edition (CE).
By the end of this training, participants will be able to:
- Install and configure Pentaho Open Source BI Suite Community Edition (CE)
- Understand the fundamentals of Pentaho CE tools and their features
- Build reports using Pentaho CE
- Integrate third party data into Pentaho CE
- Work with big data and analytics in Pentaho CE
Audience
- Programmers
- BI Developers
Format of the course
- Part lecture, part discussion, exercises and heavy hands-on practice
Note
- To request a customized training for this course, please contact us to arrange.
14 hours
Overview
SSAS (SQL Server Analysis Services), is a Microsoft SQL Server transactional processing (OLAP) and data mining tool for analyzing data across multiple databases, tables or files. The semantic data models provided by SSAS are used by client applications such as Power BI, Excel, Reporting Services, and other data visualization tools.
In this instructor-led, live training (onsite or remote), participants will learn how to use SSAS to analyze large volumes of data in databases and data warehouses.
By the end of this training, participants will be able to:
- Install and configure SSAS
- Understand the relationship between SSAS, SSIS, and SSRS
- Apply multidimensional data modeling to extract business insights from data
- Design OLAP (Online Analytical Processing) cubes
- Query and manipulate multidimensional data using the MDX (Multidimensional Expressions) query language
- Deploy real-world BI solutions using SSAS
Audience
- BI (Business Intelligence) professionals
- Data Analysts
- Database and data warehousing professionals
Format of the Course
- Interactive lecture and discussion
- Lots of exercises and practice
- Hands-on implementation in a live-lab environment
Course Customization Options
- This training is based on the latest version of Microsoft SQL Server and SSAS.
- To request a customized training for this course, please contact us to arrange.
In this instructor-led, live training (onsite or remote), participants will learn how to use SSAS to analyze large volumes of data in databases and data warehouses.
By the end of this training, participants will be able to:
- Install and configure SSAS
- Understand the relationship between SSAS, SSIS, and SSRS
- Apply multidimensional data modeling to extract business insights from data
- Design OLAP (Online Analytical Processing) cubes
- Query and manipulate multidimensional data using the MDX (Multidimensional Expressions) query language
- Deploy real-world BI solutions using SSAS
Audience
- BI (Business Intelligence) professionals
- Data Analysts
- Database and data warehousing professionals
Format of the Course
- Interactive lecture and discussion
- Lots of exercises and practice
- Hands-on implementation in a live-lab environment
Course Customization Options
- This training is based on the latest version of Microsoft SQL Server and SSAS.
- To request a customized training for this course, please contact us to arrange.
14 hours
Overview
Learn how to Get & Transform Data to Prepare Interactive Dashboards
Power BI is one of the most popular Data Visualization tool, and a Business Intelligence Tool. Power BI is a collection of data connectors, apps, and software services, which are used to get data from different source, transforms data, and produce beautiful reports.
Power BI also allows you to publish them for your organization so that you can access them using mobiles, tablets etc. In this Power BI Tutorial, we will show you the step by step approach to connect with multiple data sources, data transformations, and creating reports like charts, tables, matrix, maps, etc
Power BI is one of the most popular Data Visualization tool, and a Business Intelligence Tool. Power BI is a collection of data connectors, apps, and software services, which are used to get data from different source, transforms data, and produce beautiful reports.
Power BI also allows you to publish them for your organization so that you can access them using mobiles, tablets etc. In this Power BI Tutorial, we will show you the step by step approach to connect with multiple data sources, data transformations, and creating reports like charts, tables, matrix, maps, etc
7 hours
Overview
This instructor-led, live training in Ελλάδα (online or onsite) is aimed at content managers who wish to optimize and update company content with IRIS.
By the end of this training, participants will be able to:
- Improve business reports using IRISXtract.
- Use IRISPowerscan to file documents automatically.
- Process purchase orders, accounts payable, automate email extraction, and more with solution packages.
By the end of this training, participants will be able to:
- Improve business reports using IRISXtract.
- Use IRISPowerscan to file documents automatically.
- Process purchase orders, accounts payable, automate email extraction, and more with solution packages.
14 hours
Overview
This instructor-led, live training in Ελλάδα (online or onsite) is aimed at data analysts and web developers who wish to develop associative models in Qlik Sense.
By the end of this training, participants will be able to:
- Apply Qlik Sense in data science.
- Use and navigate the Qlik Sense interface.
- Build a data literate workforce with AI interaction.
- Create a data-driven enterprise with Qlik Sense.
By the end of this training, participants will be able to:
- Apply Qlik Sense in data science.
- Use and navigate the Qlik Sense interface.
- Build a data literate workforce with AI interaction.
- Create a data-driven enterprise with Qlik Sense.
14 hours
Overview
QlikView is a platform that provides organizations self-service business intelligence. QlikView's clean, straightforward, and simple interfaces allow users to easily analyze data and use data discoveries to support decision making.
In this instructor-led, live training, participants will learn how to start developing with QlikView.
By the end of this training, participants will be able to:
- Install and configure QlikView
- Transform data from various sources through QlikView scripting
- Build data models with QlikView
Format of the Course
- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- To request a customized training for this course, please contact us to arrange.
In this instructor-led, live training, participants will learn how to start developing with QlikView.
By the end of this training, participants will be able to:
- Install and configure QlikView
- Transform data from various sources through QlikView scripting
- Build data models with QlikView
Format of the Course
- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- To request a customized training for this course, please contact us to arrange.
14 hours
Overview
QlikView is a platform that provides organizations self-service business intelligence. QlikView's clean, straightforward, and simple interfaces allow users to easily analyze data and use data discoveries to support decision making.
In this instructor-led, live training, participants will learn how to start developing with QlikView.
By the end of this training, participants will be able to:
- Install and configure QlikView
- Transform data from various sources through QlikView scripting
- Build data models with QlikView
Format of the course
- Part lecture, part discussion, exercises and heavy hands-on practice
Course Customization Options
- To request a customized training for this course, please contact us to arrange.
In this instructor-led, live training, participants will learn how to start developing with QlikView.
By the end of this training, participants will be able to:
- Install and configure QlikView
- Transform data from various sources through QlikView scripting
- Build data models with QlikView
Format of the course
- Part lecture, part discussion, exercises and heavy hands-on practice
Course Customization Options
- To request a customized training for this course, please contact us to arrange.
14 hours
Overview
Training is dedicated to the basics of create a data warehouse environment based on MS SQL Server 2008.
Course participant gain the basis for the design and construction of a data warehouse that runs on MS SQL Server 2008.
Gain knowledge of how to build a simple ETL process based on the SSIS and then design and implement a data cube using SSAS.
The participant will be able to manage OLAP database: create and delete database OLAP Processing a partition changes on-line.
The participant will acquire knowledge of scripting XML / A and MDX.
Course participant gain the basis for the design and construction of a data warehouse that runs on MS SQL Server 2008.
Gain knowledge of how to build a simple ETL process based on the SSIS and then design and implement a data cube using SSAS.
The participant will be able to manage OLAP database: create and delete database OLAP Processing a partition changes on-line.
The participant will acquire knowledge of scripting XML / A and MDX.
14 hours
Overview
Tableau helps people see and understand data.
14 hours
Overview
Tableau is a business intelligence and data visualization tool. Python is a widely used programming language which provides support for a wide variety of statistical and machine learning techniques. Tableau's data visualization power and Python's machine learning capabilities, when combined, help developers rapidly build advanced data analytics applications for various business use cases.
In this instructor-led, live training, participants will learn how to combine Tableau and Python to carry out advanced analytics. Integration of Tableau and Python will be done via the TabPy API.
By the end of this training, participants will be able to:
- Integrate Tableau and Python using TabPy API
- Use the integration of Tableau and Python to analyze complex business scenarios with few lines of Python code
Audience
- Developers
- Data scientists
Format of the course
- Part lecture, part discussion, exercises and heavy hands-on practice
In this instructor-led, live training, participants will learn how to combine Tableau and Python to carry out advanced analytics. Integration of Tableau and Python will be done via the TabPy API.
By the end of this training, participants will be able to:
- Integrate Tableau and Python using TabPy API
- Use the integration of Tableau and Python to analyze complex business scenarios with few lines of Python code
Audience
- Developers
- Data scientists
Format of the course
- Part lecture, part discussion, exercises and heavy hands-on practice
21 hours
Overview
In this instructor-led, live training in Ελλάδα, participants will learn how to extend the capabilities of Tableau to fit the specific needs of their organization.
By the end of this training, participants will be able to:
- Install and configure Tableau (Desktop, Server, Online.)
- Understand the fundamentals of developing with Tableau.
- Create and publish data visualizations and interactions with Tableau.
- Use Tableau's developer tools and APIs to customize and extend the capabilities of Tableau for their organization.
By the end of this training, participants will be able to:
- Install and configure Tableau (Desktop, Server, Online.)
- Understand the fundamentals of developing with Tableau.
- Create and publish data visualizations and interactions with Tableau.
- Use Tableau's developer tools and APIs to customize and extend the capabilities of Tableau for their organization.
14 hours
Overview
This is a Tableau user beginners course; it is intended for anyone who is looking to work with data and is designed to help you use the main functions in Tableau.
During the course you will be able to:
- Connect to your data.
- Edit and save a data source.
- Understand Tableau terminology.
- Use the Tableau interface / paradigm to effectively create powerful visualizations.
- Create basic calculations including basic arithmetic calculations, custom aggregations and ratios, date math, and quick table calculations.
- Represent your data using the following visualization types:
- Cross tabs
- Geographic maps
- Heat maps
- Tree maps
- Pie charts and bar charts
- Dual axis and combined charts with different mark types
- Highlight Tables
- Scatter Plots
- Build dashboards to share visualizations.
During the course you will be able to:
- Connect to your data.
- Edit and save a data source.
- Understand Tableau terminology.
- Use the Tableau interface / paradigm to effectively create powerful visualizations.
- Create basic calculations including basic arithmetic calculations, custom aggregations and ratios, date math, and quick table calculations.
- Represent your data using the following visualization types:
- Cross tabs
- Geographic maps
- Heat maps
- Tree maps
- Pie charts and bar charts
- Dual axis and combined charts with different mark types
- Highlight Tables
- Scatter Plots
- Build dashboards to share visualizations.
14 hours
Overview
Tableau helps people see and understand data.
14 hours
Overview
This instructor-led, live training in Ελλάδα (online or onsite) is aimed at data scientists who wish to program in R for Tableau.
By the end of this training, participants will be able to:
- Implement Tableau analytics with R.
- Return values to Tableau with learning algorithms in R.
- Structure and visualize R functions in Tableau.
- Make data driven decisions for business operations.
By the end of this training, participants will be able to:
- Implement Tableau analytics with R.
- Return values to Tableau with learning algorithms in R.
- Structure and visualize R functions in Tableau.
- Make data driven decisions for business operations.
28 hours
Overview
This instructor-led, live training in Ελλάδα (online or onsite) is aimed at data analysts and data scientists who wish to search, analyze, and visualize data using Tableau.
By the end of this training, participants will be able to:
- Connect to your data.
- Edit and save a data source.
- Understand Tableau terminology.
- Use the Tableau interface / paradigm to effectively create powerful visualizations.
- Create calculations including arithmetic calculations, custom aggregations and ratios, date math, and table calculations.
- Represent your data using different visualization types.
- Build dashboards to share visualizations.
By the end of this training, participants will be able to:
- Connect to your data.
- Edit and save a data source.
- Understand Tableau terminology.
- Use the Tableau interface / paradigm to effectively create powerful visualizations.
- Create calculations including arithmetic calculations, custom aggregations and ratios, date math, and table calculations.
- Represent your data using different visualization types.
- Build dashboards to share visualizations.
28 hours
Overview
This instructor-led, live training in Ελλάδα (online or onsite) is aimed at system administrators who wish to set up and manage Tableau Server.
By the end of this training, participants will be able to:
- Install and configure Tableau Server.
- Set up users, roles and permissions to get a team up and running.
- Access various data sources, manage content and access to the content by users.
- Automate administrative tasks, including monitoring and log management.
- Deploying Tableau Server to cluster.
By the end of this training, participants will be able to:
- Install and configure Tableau Server.
- Set up users, roles and permissions to get a team up and running.
- Access various data sources, manage content and access to the content by users.
- Automate administrative tasks, including monitoring and log management.
- Deploying Tableau Server to cluster.
21 hours
Overview
This instructor-led, live training in Ελλάδα (online or onsite) is aimed at data analysts who wish to prepare and shape data using Tableau Prep Builder.
By the end of this training, participants will be able to:
- Install Tableau Prep.
- Understand and implement a Data Science Workflow.
- Read data from a variety of sources, such as Excel and databases.
- Prepare, shape and sample data for analysis in Tableau Desktop.
- Explore and validate data.
- Create and publish Tableau Prep flows.
By the end of this training, participants will be able to:
- Install Tableau Prep.
- Understand and implement a Data Science Workflow.
- Read data from a variety of sources, such as Excel and databases.
- Prepare, shape and sample data for analysis in Tableau Desktop.
- Explore and validate data.
- Create and publish Tableau Prep flows.
14 hours
Overview
Dashbuilder is an open-source web application for visually creating business dashboards and reports.
In this instructor-led, live training, participants will learn how to create business dashboards and reports using Dashbuilder.
By the end of this training, participants will be able to:
- Visual configure and personalize dashboards using drag-and-drop
- Create different types of visualizations using charting libraries
- Define interactive report tables
- Create and edit inline KPIs (Key Performance Indicators)
- Customize the look and feel of metric displayers
Audience
- Managers
- Analysts
Format of the course
- Part lecture, part discussion, exercises and heavy hands-on practice
In this instructor-led, live training, participants will learn how to create business dashboards and reports using Dashbuilder.
By the end of this training, participants will be able to:
- Visual configure and personalize dashboards using drag-and-drop
- Create different types of visualizations using charting libraries
- Define interactive report tables
- Create and edit inline KPIs (Key Performance Indicators)
- Customize the look and feel of metric displayers
Audience
- Managers
- Analysts
Format of the course
- Part lecture, part discussion, exercises and heavy hands-on practice
7 hours
Overview
Dashbuilder is an open-source web application for visually creating business dashboards and reports.
In this instructor-led, live training, participants will learn set up, configure, integrate and deploy Dashbuilder.
By the end of this training, participants will be able to:
- Extract data from heterogeneous sources such as JDBC databases and text files
- Use connectors to connect to third-party systems and platforms such as jBPM
- Configure roles, permissions and access controls for users
- Deploy Dashbuilder to a live production environment
Audience
- Developers
- IT and system architects
Format of the course
- Part lecture, part discussion, exercises and heavy hands-on practice
In this instructor-led, live training, participants will learn set up, configure, integrate and deploy Dashbuilder.
By the end of this training, participants will be able to:
- Extract data from heterogeneous sources such as JDBC databases and text files
- Use connectors to connect to third-party systems and platforms such as jBPM
- Configure roles, permissions and access controls for users
- Deploy Dashbuilder to a live production environment
Audience
- Developers
- IT and system architects
Format of the course
- Part lecture, part discussion, exercises and heavy hands-on practice
21 hours
Overview
In this instructor-led, live training in Ελλάδα (onsite or remote), participants will learn how to use Microsoft Power BI to analyze and visualize data using a series of sample data sets.
By the end of this training, participants will be able to:
- Create visually compelling dashboards that provide valuable insights into data.
- Obtain and integrate data from multiple data sources.
- Build and share visualizations with team members.
- Adjust data with Power BI Desktop.
By the end of this training, participants will be able to:
- Create visually compelling dashboards that provide valuable insights into data.
- Obtain and integrate data from multiple data sources.
- Build and share visualizations with team members.
- Adjust data with Power BI Desktop.
28 hours
Overview
In this instructor-led, live training in Ελλάδα, participants will learn how to use Power BI to develop custom software solutions for the Power BI and Azure platforms.
By the end of this training, participants will be able to:
- Configure real-time dashboards.
- Create custom visualizations.
- Integrate rich analytics into existing applications.
- Embed interactive reports and visuals into existing applications.
- Access data from within an application.
- Master Power BI Portal, Desktop, Embedded and Rest API.
- Integrate R Scripts into Power BI Desktop.
By the end of this training, participants will be able to:
- Configure real-time dashboards.
- Create custom visualizations.
- Integrate rich analytics into existing applications.
- Embed interactive reports and visuals into existing applications.
- Access data from within an application.
- Master Power BI Portal, Desktop, Embedded and Rest API.
- Integrate R Scripts into Power BI Desktop.
14 hours
Overview
About the Course:
Microsoft Power BI transforms your company data into rich visuals that facilitate new ways of thinking about and organizing your data, so that you can focus on what is important to achieving your goals. This course covers both Power BI on Line and Power BI desktop.
Audience:
This course is intended for Business Managers, Report Developers, Analysts, Project Managers and Team Leads.
At Course Completion
Upon completing this course, students will have a basic understanding of the topics below, as well as an ability to utilize and implement the concepts learned.
- Power BI
- Power BI Desktop
- Working with CSV, TXT, and Excel Worksheets
- Connecting to Databases
- Merging, Grouping, Summarizing, and Calculating Data
- Reporting
- Power BI Online
Microsoft Power BI transforms your company data into rich visuals that facilitate new ways of thinking about and organizing your data, so that you can focus on what is important to achieving your goals. This course covers both Power BI on Line and Power BI desktop.
Audience:
This course is intended for Business Managers, Report Developers, Analysts, Project Managers and Team Leads.
At Course Completion
Upon completing this course, students will have a basic understanding of the topics below, as well as an ability to utilize and implement the concepts learned.
- Power BI
- Power BI Desktop
- Working with CSV, TXT, and Excel Worksheets
- Connecting to Databases
- Merging, Grouping, Summarizing, and Calculating Data
- Reporting
- Power BI Online
7 hours
Overview
Microsoft Power BI is a free Software as a Service (SaaS) suite for analyzing data and sharing insights. Power BI dashboards provide a 360-degree view of the most important metrics in one place, updated in real time, and available on all of their devices.
This instructor-led, live training (online or onsite) is aimed at business managers, business analysts, data analysts, report developers, and team leads who wish to design a perfect Power BI dashboard.
By the end of this training, participants will be able to:
- Design beautiful and efficient dashboards following the critical rules.
- Choose the right charts based on the kind of data for display.
Format of the Course
- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- To request a customized training for this course, please contact us to arrange.
This instructor-led, live training (online or onsite) is aimed at business managers, business analysts, data analysts, report developers, and team leads who wish to design a perfect Power BI dashboard.
By the end of this training, participants will be able to:
- Design beautiful and efficient dashboards following the critical rules.
- Choose the right charts based on the kind of data for display.
Format of the Course
- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- To request a customized training for this course, please contact us to arrange.
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