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Python Training Courses

Python Training Courses

Τα τοπικά μαθήματα κατάρτισης Python, καθοδηγούμενα από εκπαιδευτές, αποδεικνύουν μέσω πρακτικής άσκησης διάφορες πτυχές της γλώσσας προγραμματισμού της Python. Ορισμένα από τα θέματα που καλύπτονται περιλαμβάνουν τα βασικά στοιχεία του προγραμματισμού Python, τον προηγμένο προγραμματισμό Python, την Python για αυτοματοποίηση δοκιμών, τη δέσμευση Python και τον αυτοματισμό και την Python για ανάλυση δεδομένων και εφαρμογές μεγάλων δεδομένων σε τομείς όπως η χρηματοδότηση, η τραπεζική και η ασφάλιση. Τα μαθήματα κατάρτισης NobleProg Python καλύπτουν επίσης τα αρχικά και προχωρημένα μαθήματα στη χρήση των βιβλιοθηκών Python και των πλαισίων για την εκμάθηση μηχανών και τη βαθιά εκμάθηση. Η εκπαίδευση Python 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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Python Subcategories

Django Training CoursesDjango
Web2py Training CoursesWeb2py
PyQt Training CoursesPyQt
Kivy Training CoursesKivy

Python Course Outlines

Title
Duration
Overview
Title
Duration
Overview

Applied AI from Scratch in Python

28 hours
Overview
This is a 4 day course introducing AI and it's application using the Python programming language. There is an option to have an additional day to undertake an AI project on completion of this course.

Web Scraping with Python

7 hours
Overview
Web ξύσιμο είναι μια τεχνική για την εξαγωγή δεδομένων από μια τοποθεσία Web, στη συνέχεια, την αποθήκευσή του σε τοπικό αρχείο ή βάση δεδομένων.

αυτή η καθοδηγούμενη από εκπαιδευτές, ζωντανή εκπαίδευση (επιτόπου ή απομακρυσμένη) απευθύνεται σε προγραμματιστές που επιθυμούν να χρησιμοποιήσουν την Python για να αυτοματοποιήσουν τη διαδικασία ανίχνευσης πολλών ιστότοπων για την εξαγωγή δεδομένων για επεξεργασία και ανάλυση.

μέχρι το τέλος αυτής της εκπαίδευσης, οι συμμετέχοντες θα είναι σε θέση να:

- Εγκαταστήστε και ρυθμίστε την Python και όλα τα σχετικά πακέτα.
- Ανάκτηση και ανάλυση δεδομένων που είναι αποθηκευμένα σε πολλές διαφορετικές ιστοσελίδες.
- κατανοήσουν πώς λειτουργούν οι ιστότοποι και πώς είναι δομημένη η HTML τους.
- Κατασκευάστε αράχνες για να ανιχνεύσετε τον ιστό σε κλίμακα.
- Use σελήνιο για να ανιχνεύσετε ιστοσελίδες που βασίζονται σε AJAX.

μορφή του μαθήματος

- διαδραστική διάλεξη και συζήτηση.
- πολλές ασκήσεις και εξάσκηση.
- εφαρμογή σε περιβάλλον ζωντανού εργαστηρίου.

επιλογές προσαρμογής μαθήματος

- το μάθημα αυτό προϋποθέτει γνώση του προγραμματισμού.
- για να ζητήσετε μια προσαρμοσμένη εκπαίδευση για αυτό το μάθημα, παρακαλούμε επικοινωνήστε μαζί μας για να κανονίσετε.

Analyzing Big Financial Data with Python

35 hours
Overview
Python is a high-level programming language famous for its clear syntax and code readibility.

In this instructor-led, live training, participants will learn how to use Python for quantitative finance.

By the end of this training, participants will be able to:

- Understand the fundamentals of Python programming
- Use Python for financial applications including implementing mathematical techniques, stochastics, and statistics
- Implement financial algorithms using performance Python

Audience

- Developers
- Quantitative analysts

Format of the course

- Part lecture, part discussion, exercises and heavy hands-on practice

Computer Vision with Python

14 hours
Overview
Computer Vision is a field that involves automatically extracting, analyzing, and understanding useful information from digital media. Python is a high-level programming language famous for its clear syntax and code readibility.

In this instructor-led, live training, participants will learn the basics of Computer Vision as they step through the creation of set of simple Computer Vision application using Python.

By the end of this training, participants will be able to:

- Understand the basics of Computer Vision
- Use Python to implement Computer Vision tasks
- Build their own face, object, and motion detection systems

Audience

- Python programmers interested in Computer Vision

Format of the course

- Part lecture, part discussion, exercises and heavy hands-on practice

Python for Excel

14 hours
Overview
Python is a high-level programming language famous for its clear syntax and code readability. Excel is a spreadsheet application developed by Microsoft which is widely used in many industries. Adding Python to Excel makes it a powerful tool for data analytics.

In this instructor-led, live training, participants will learn how to combine the capabilities of Python and Excel.

By the end of this training, participants will be able to:

- Install and configure packages for integrating Python and Excel
- Read, write, and manipulate Excel files using Python
- Call Python functions from Excel

Audience

- Developers
- Programmers

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.

Python Programming for Finance

35 hours
Overview
Python is a programming language that has gained huge popularity in the financial industry. Adopted by the largest investment banks and hedge funds, it is being used to build a wide range of financial applications ranging from core trading programs to risk management systems.

In this instructor-led, live training, participants will learn how to use Python to develop practical applications for solving a number of specific finance related problems.

By the end of this training, participants will be able to:

- Understand the fundamentals of the Python programming language
- Download, install and maintain the best development tools for creating financial applications in Python
- Select and utilize the most suitable Python packages and programming techniques to organize, visualize, and analyze financial data from various sources (CSV, Excel, databases, web, etc.)
- Build applications that solve problems related to asset allocation, risk analysis, investment performance and more
- Troubleshoot, integrate, deploy, and optimize a Python application

Audience

- Developers
- Analysts
- Quants

Format of the course

- Part lecture, part discussion, exercises and heavy hands-on practice

Note

- This training aims to provide solutions for some of the principle problems faced by finance professionals. However, if you have a particular topic, tool or technique that you wish to append or elaborate further on, please please contact us to arrange.

Python for Matlab Users

14 hours
Overview
The Python programming language is becoming more and more popular among Matlab users due to its power and versatility as a data analysis tool as well as a general purpose language.

This instructor-led, live training (onsite or remote) is aimed at Matlab users who wish to explore and or transition to Python for data analytics and visualization.

By the end of this training, participants will be able to:

- Install and configure a Python development environment.
- Understand the differences and similarities between Matlab and Python syntax.
- Use Python to obtain insights from various datasets.
- Convert existing Matlab applications to Python.
- Integrate Matlab and Python applications.

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.

Advanced Python

28 hours
Overview
In this instructor-led, live training, participants will learn advanced Python programming techniques, including how to apply this versatile language to solve problems in areas such as distributed applications, data analysis and visualization, UI programming and maintenance scripting.

Format of the course

- Part lecture, part discussion, exercises and heavy hands-on practice

Notes

- If you wish to add, remove or customize any section or topic within this course, please contact us to arrange.

Python Programming

28 hours
Overview
This course is designed for those wishing to learn the Python programming language. The emphasis is on the Python language, the core libraries, as well as on the selection of the best and most useful libraries developed by the Python community. Python drives businesses and is used by scientists all over the world – it is one of the most popular programming languages.

The course can be delivered using Python 2.7.x or 3.x, with practical exercises making use of the full power of both versions of the language. This course can be delivered on any operating system (all flavours of UNIX, including Linux and Mac OS X, as well as Microsoft Windows).

The practical exercises constitute about 70% of the course time, and around 30% are demonstrations and presentations. Discussions and questions can be asked throughout the course.

Note: the training can be tailored to specific needs upon prior request ahead of the proposed course date.

Python: Machine Learning with Text

21 hours
Overview
In this instructor-led, live training, participants will learn how to use the right machine learning and NLP (Natural Language Processing) techniques to extract value from text-based data.

By the end of this training, participants will be able to:

- Solve text-based data science problems with high-quality, reusable code
- Apply different aspects of scikit-learn (classification, clustering, regression, dimensionality reduction) to solve problems
- Build effective machine learning models using text-based data
- Create a dataset and extract features from unstructured text
- Visualize data with Matplotlib
- Build and evaluate models to gain insight
- Troubleshoot text encoding errors

Audience

- Developers
- Data Scientists

Format of the course

- Part lecture, part discussion, exercises and heavy hands-on practice

Natural Language Processing with Deep Dive in Python and NLTK

35 hours
Overview
By the end of the training the delegates are expected to be sufficiently equipped with the essential python concepts and should be able to sufficiently use NLTK to implement most of the NLP and ML based operations. The training is aimed at giving not just an executional knowledge but also the logical and operational knowledge of the technology therein.

Python for Advanced Machine Learning

21 hours
Overview
In this instructor-led, live training, participants will learn the most relevant and cutting-edge machine learning techniques in Python as they build a series of demo applications involving image, music, text, and financial data.

By the end of this training, participants will be able to:

- Implement machine learning algorithms and techniques for solving complex problems.
- Apply deep learning and semi-supervised learning to applications involving image, music, text, and financial data.
- Push Python algorithms to their maximum potential.
- Use libraries and packages such as NumPy and Theano.

Format of the course

- Part lecture, part discussion, exercises and heavy hands-on practice

Natural Language Processing with Python

28 hours
Overview
This course introduces linguists or programmers to NLP in Python. During this course we will mostly use nltk.org (Natural Language Tool Kit), but also we will use other libraries relevant and useful for NLP. At the moment we can conduct this course in Python 2.x or Python 3.x. Examples are in English or Mandarin (普通话). Other languages can be also made available if agreed before booking.

Python Security

14 hours
Overview
This course introduces the student to the Python language. Upon completion of this class, the student will be able to write non trivial Python programs dealing with a wide variety of subject matter domains. Topics include language components, working with a professional IDE, control flow constructs, strings, I/O, collections, classes, modules, and regular expressions. The course is supplemented with many hands-on labs, solutions, and code examples.

After Completing the course students will be able to demonstrate knowledge and understanding of Python Security Principles.

Selenium with Python for Test Automation

14 hours
Overview
σελήνιο είναι μια βιβλιοθήκη ανοιχτού κώδικα για την αυτοματοποίηση της εφαρμογής Web δοκιμές σε πολλαπλά προγράμματα περιήγησης. Σελήνιο αλληλεπιδρά με ένα πρόγραμμα περιήγησης όπως οι άνθρωποι κάνουν: κάνοντας κλικ σε συνδέσμους, συμπληρώνοντας τις φόρμες και την επικύρωση του κειμένου. Είναι το πιο δημοφιλές εργαλείο για την αυτοματοποίηση της εφαρμογής ιστού. Το σελήνιο είναι χτισμένο στο πλαίσιο WebDriver και έχει άριστες συνδέσεις για πολλές γλώσσες δεσμών ενεργειών, συμπεριλαμβανομένης της Python.

σε αυτόν τον εκπαιδευτή, οι συμμετέχοντες σε ζωντανή εκπαίδευση συνδυάζουν τη δύναμη της Python με το σελήνιο για να αυτοματοποιήσετε τη δοκιμή ενός δείγματος εφαρμογής ιστού. Συνδυάζοντας τη θεωρία με την πρακτική σε ένα ζωντανό εργαστηριακό περιβάλλον, οι συμμετέχοντες θα αποκτήσουν τις γνώσεις και την πρακτική που χρειάζονται για να αυτοματοποιήσουν τα δικά τους έργα ελέγχου Ιστού χρησιμοποιώντας Python και σελήνιο.

Format του μαθήματος

- διαδραστική διάλεξη και συζήτηση.
- πολλές ασκήσεις και εξάσκηση.
- εφαρμογή σε περιβάλλον ζωντανού εργαστηρίου.

επιλογές προσαρμογής μαθήματος

- για να ζητήσετε μια προσαρμοσμένη εκπαίδευση για αυτό το μάθημα, παρακαλούμε επικοινωνήστε μαζί μας για να κανονίσετε.

Natural Language Processing (NLP) with Python spaCy

14 hours
Overview
αυτό εκπαιδευτής-LED, Live Training (επιτόπου ή απομακρυσμένες) έχει ως στόχο την ανάπτυξη και τους επιστήμονες δεδομένων που επιθυμούν να χρησιμοποιήσουν ευρύχωρα για την επεξεργασία πολύ μεγάλες ποσότητες κειμένου για να βρείτε μοτίβα και να αποκτήσουν γνώσεις.

μέχρι το τέλος αυτής της εκπαίδευσης, οι συμμετέχοντες θα είναι σε θέση να:

- εγκατάσταση και ρύθμιση παραμέτρων ευρύχωρα.
- κατανοήσουν ευρύχωρα & #39; s προσέγγιση για την επεξεργασία φυσικής γλώσσας (NLP).
- εξαγάγετε μοτίβα και αποκτήστε επιχειρηματικές γνώσεις από μεγάλες πηγές δεδομένων.
το - ενσωματώνει τη βιβλιοθήκη ευρύχωρα με τις υπάρχουσες εφαρμογές ιστού και παλαιού τύπου.
- ανάπτυξη ευρύχωρα σε ζωντανά περιβάλλοντα παραγωγής για την πρόβλεψη της ανθρώπινης συμπεριφοράς.
- χρήση ευρύχωρα για την προ-επεξεργασία κειμένου για τη βαθιά μάθηση

μορφή του μαθήματος

- διαΔραστική διάλεξη και συζήτηση.
- πολλές ασκήσεις και εξάσκηση.
- hands-on εφαρμογή σε ένα περιβάλλον Live-Lab.

επιλογές προσαρμογής μαθημάτων

- να ζητήσετε μια προσαρμοσμένη εκπαίδευση για αυτό το μάθημα, παρακαλούμε επικοινωνήστε μαζί μας για να κανονίσουμε.
- για να μάθετε περισσότερα για ευρύχωρα, παρακαλούμε επισκεφθείτε την: https://spacy.io/

Python and Spark for Big Data (PySpark)

21 hours
Overview
Python is a high-level programming language famous for its clear syntax and code readibility. Spark is a data processing engine used in querying, analyzing, and transforming big data. PySpark allows users to interface Spark with Python.

In this instructor-led, live training, participants will learn how to use Python and Spark together to analyze big data as they work on hands-on exercises.

By the end of this training, participants will be able to:

- Learn how to use Spark with Python to analyze Big Data.
- Work on exercises that mimic real world circumstances.
- Use different tools and techniques for big data analysis using PySpark.

Format of the course

- Part lecture, part discussion, exercises and heavy hands-on practice

Data Analysis with SQL, Python and Spotfire

14 hours
Overview
In this instructor-led, live training, participants will learn three different approaches for accessing, analyzing and visualizing data. We start with an introduction to RDMS databases; the focus will be on accessing and querying an Oracle database using the SQL language. Then we look at strategies for accessing an RDMS database programmatically using the Python language. Finally, we look at how to visualize and present data graphically using TIBCO Spotfire.

Format of the Course

- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.

Tableau with Python

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

Text Summarization with Python

14 hours
Overview
In Python Machine Learning, the Text Summarization feature is able to read the input text and produce a text summary. This capability is available from the command-line or as a Python API/Library. One exciting application is the rapid creation of executive summaries; this is particularly useful for organizations that need to review large bodies of text data before generating reports and presentations.

In this instructor-led, live training, participants will learn to use Python to create a simple application that auto-generates a summary of input text.

By the end of this training, participants will be able to:

- Use a command-line tool that summarizes text.
- Design and create Text Summarization code using Python libraries.
- Evaluate three Python summarization libraries: sumy 0.7.0, pysummarization 1.0.4, readless 1.0.17

Audience

- Developers
- Data Scientists

Format of the course

- Part lecture, part discussion, exercises and heavy hands-on practice

Python: Automate the Boring Stuff

14 hours
Overview
This instructor-led, live training is based on the popular book, "Automate the Boring Stuff with Python", by Al Sweigart. It is aimed at beginners and covers essential Python programming concepts through practical, hands-on exercises and discussions. The focus is on learning to write code to dramatically increase office productivity.

By the end of this training, participants will know how to program in Python and apply this new skill for:

- Automating tasks by writing simple Python programs.
- Writing programs that can do text pattern recognition with "regular expressions".
- Programmatically generating and updating Excel spreadsheets.
- Parsing PDFs and Word documents.
- Crawling web sites and pulling information from online sources.
- Writing programs that send out email notifications.
- Use Python's debugging tools to quickly resolve bugs.
- Programmatically controlling the mouse and keyboard to click and type for you.

Format of the course

- Part lecture, part discussion, exercises and heavy hands-on practice

Unit Testing with Python

21 hours
Overview
Unit Testing is a testing approach that tests individual units of source code by modifying their properties or triggering an event to confirm whether the outcome is as expected. PyTest is a full-featured, API-independent, flexible, and extensible testing framework with an advanced, full-bodied fixture model.

In this instructor-led, live training, participants will learn how to use PyTest to write short, maintainable tests that are elegant, expressive and readable.

By the end of this training, participants will be able to:

- Write readable and maintainable tests without the need for boilerplate code.
- Use the fixture model to write small tests.
- Scale tests up to complex functional testing for applications, packages, and libraries.
- Understand and apply PyTest features such as hooks, assert rewriting and plug-ins.
- Reduce test times by running tests in parallel and across multiple processors.
- Run tests in a continuous integration environment, together with other utilities such as tox, mock, coverage, unittest, doctest and Selenium.
- Use Python to test non-Python applications.

Format of the course

- Part lecture, part discussion, exercises and heavy hands-on practice

Building Chatbots in Python

21 hours
Overview
ChatBots are computer programs that automatically simulate human responses via chat interfaces. ChatBots help organizations maximize their operations efficiency by providing easier and faster options for their user interactions.

In this instructor-led, live training, participants will learn how to build chatbots in Python.

By the end of this training, participants will be able to:

- Understand the fundamentals of building chatbots
- Build, test, deploy, and troubleshoot various chatbots using Python

Audience

- 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.

Kivy: Building Android Apps with Python

7 hours
Overview
το

Kivy είναι μια ανοιχτή βιβλιοθήκη περιβάλλοντος εργασίας χρήστη με βάση μια ανοικτή πλατφόρμα, γραμμένη σε Python, η οποία επιτρέπει την ανάπτυξη εφαρμογών πολλαπλών αφής για μια ευρεία επιλογή συσκευών.

σε αυτόν τον εκπαιδευτή, οι συμμετέχοντες στη ζωντανή εκπαίδευση θα μάθουν πώς να εγκαταστήσουν και να αναπτύξουν το Kivy σε διαφορετικές πλατφόρμες, να προσαρμόσουν και να χειριστούν widgets, να προγραμματίσουν, να ενεργοποιήσουν και να απαντήσουν σε συμβάντα, να τροποποιήσουν γραφικά με Multi-αγγίγματα, να αλλάξουν το μέγεθος της οθόνης, το πακέτο εφαρμογές για Android και πολλά άλλα.

μέχρι το τέλος αυτής της εκπαίδευσης, οι συμμετέχοντες θα μπορούν να

- συσχετίσει τον κώδικα Python και τη γλώσσα του Κίβι.
- έχουν μια σταθερή κατανόηση του πώς το Kivy λειτουργεί και κάνει χρήση των πιο σημαντικών στοιχείων του, όπως, widgets, εκδηλώσεις, ιδιότητες, γραφικά, κλπ.
- απρόσκοπτα αναπτύξουν και να αναπτύξουν εφαρμογές Android με βάση τις διαφορετικές επιχειρηματικές και σχεδιαστικές απαιτήσεις.

Format του μαθήματος

- PART διάλεξη, μέρος συζήτηση, ασκήσεις και βαριά πρακτική εξάσκηση

Data Mining with Python

14 hours
Overview
αυτή η καθοδηγούμενη από εκπαιδευτές, ζωντανή εκπαίδευση (επιτόπου ή απομακρυσμένη) απευθύνεται σε αναλυτές δεδομένων και επιστήμονες δεδομένων που επιθυμούν να εφαρμόσουν πιο προηγμένες τεχνικές ανάλυσης δεδομένων για την εξόρυξη δεδομένων χρησιμοποιώντας την Python.

μέχρι το τέλος αυτής της εκπαίδευσης, οι συμμετέχοντες θα είναι σε θέση να:

- κατανοούν σημαντικούς τομείς εξόρυξης δεδομένων, συμπεριλαμβανομένης της εξόρυξης κανόνων σύνδεσης, της ανάλυσης συναισθήματος κειμένου, του αυτόματου Σύνοψη κειμένου και της ανίχνευσης ανωμαλιών δεδομένων.
- συγκρίνετε και να εφαρμόσουν διάφορες στρατηγικές για την επίλυση προβλημάτων εξόρυξης δεδομένων πραγματικού κόσμου.
- Κατανοήστε και ερμηνεύστε τα αποτελέσματα.

μορφή του μαθήματος

- διαδραστική διάλεξη και συζήτηση.
- πολλές ασκήσεις και εξάσκηση.
- εφαρμογή σε περιβάλλον ζωντανού εργαστηρίου.

επιλογές προσαρμογής μαθήματος

- για να ζητήσετε μια προσαρμοσμένη εκπαίδευση για αυτό το μάθημα, παρακαλούμε επικοινωνήστε μαζί μας για να κανονίσετε.

Data Analysis in Python using Pandas and Numpy

14 hours
Overview
Pandas is a Python package that provides data structures for working with structured (tabular, multidimensional, potentially heterogeneous) and time series data.

Web Development with Django

21 hours
Overview
Django is a high-level Python Web framework that encourages rapid development and clean, pragmatic design.

Audience

This course is directed at developers and engineers seeking to incorporate Django in their projects

Deep Learning for Banking (with Python)

28 hours
Overview
Machine learning is a branch of Artificial Intelligence wherein computers have the ability to learn without being explicitly programmed. Deep learning is a subfield of machine learning which uses methods based on learning data representations and structures such as neural networks. Python is a high-level programming language famous for its clear syntax and code readability.

In this instructor-led, live training, participants will learn how to implement deep learning models for banking using Python as they step through the creation of a deep learning credit risk model.

By the end of this training, participants will be able to:

- Understand the fundamental concepts of deep learning
- Learn the applications and uses of deep learning in banking
- Use Python, Keras, and TensorFlow to create deep learning models for banking
- Build their own deep learning credit risk model using Python

Audience

- Developers
- Data scientists

Format of the course

- Part lecture, part discussion, exercises and heavy hands-on practice

Deep Learning for Finance (with Python)

28 hours
Overview
Machine learning is a branch of Artificial Intelligence wherein computers have the ability to learn without being explicitly programmed. Deep learning is a subfield of machine learning which uses methods based on learning data representations and structures such as neural networks. Python is a high-level programming language famous for its clear syntax and code readability.

In this instructor-led, live training, participants will learn how to implement deep learning models for finance using Python as they step through the creation of a deep learning stock price prediction model.

By the end of this training, participants will be able to:

- Understand the fundamental concepts of deep learning
- Learn the applications and uses of deep learning in finance
- Use Python, Keras, and TensorFlow to create deep learning models for finance
- Build their own deep learning stock price prediction model using Python

Audience

- Developers
- Data scientists

Format of the course

- Part lecture, part discussion, exercises and heavy hands-on practice

Deep Learning for Telecom (with Python)

28 hours
Overview
Machine learning is a branch of Artificial Intelligence wherein computers have the ability to learn without being explicitly programmed.

Deep learning is a subfield of machine learning which uses methods based on learning data representations and structures such as neural networks.

Python is a high-level programming language famous for its clear syntax and code readability.

In this instructor-led, live training, participants will learn how to implement deep learning models for telecom using Python as they step through the creation of a deep learning credit risk model.

By the end of this training, participants will be able to:

- Understand the fundamental concepts of deep learning.
- Learn the applications and uses of deep learning in telecom.
- Use Python, Keras, and TensorFlow to create deep learning models for telecom.
- Build their own deep learning customer churn prediction model using Python.

Format of the course

- Part lecture, part discussion, exercises and heavy hands-on practice

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Other countries

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Course Discounts

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5250EUR
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3500EUR
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Mon, 2019-09-30 09:30
Nicosia, Jacovides Tower
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5250EUR
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Tue, 2019-12-10 09:30
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7000EUR
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