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Python

Big Data

Processing big data in real time is challenging due to scalability, information inconsistency, and fault tolerance. Big Data Analysis with Python teaches you how to use tools that can control this data avalanche for you. In this course, you’ll learn practical techniques to aggregate data into useful dimensions for posterior analysis, extract statistical measurements, and transform datasets into features for other systems.

In the Private Training
Code: GTDBDAP Duration: 2 Days

Data Science

Data Science Projects with Python training course is designed to give you practical guidance on industry-standard data analysis and machine learning tools in Python, with the help of realistic data. The course will help you understand how you can use pandas and Matplotlib to critically examine a dataset with summary statistics and graphs, and extract the insights you seek to derive. You will continue to build on your knowledge as you learn how to prepare data and feed it to machine learning algorithms, such as regularized logistic regression and random forest, using the scikit-learn package. You’ll discover how to tune the algorithms to provide the best predictions on new and, unseen data.

In the Private Training
Code: GTDSPP Duration: 2 Days

New

Data Science Projects with Python training course is designed to give you practical guidance on industry-standard data analysis and machine learning tools in Python, with the help of realistic data. The course will help you understand how you can use pandas and Matplotlib to critically examine a dataset with summary statistics and graphs, and extract the insights you seek to derive. You will continue to build on your knowledge as you learn how to prepare data and feed it to machine learning algorithms, such as regularized logistic regression and random forest, using the scikit-learn package. You’ll discover how to tune the algorithms to provide the best predictions on new and, unseen data.

In the Private Training
Code: GTDSPP Duration: 2 Days

Python

Data Science Projects with Python training course is designed to give you practical guidance on industry-standard data analysis and machine learning tools in Python, with the help of realistic data. The course will help you understand how you can use pandas and Matplotlib to critically examine a dataset with summary statistics and graphs, and extract the insights you seek to derive. You will continue to build on your knowledge as you learn how to prepare data and feed it to machine learning algorithms, such as regularized logistic regression and random forest, using the scikit-learn package. You’ll discover how to tune the algorithms to provide the best predictions on new and, unseen data.

In the Private Training
Code: GTDSPP Duration: 2 Days

Data Science Projects with Python training course is designed to give you practical guidance on industry-standard data analysis and machine learning tools in Python, with the help of realistic data. The course will help you understand how you can use pandas and Matplotlib to critically examine a dataset with summary statistics and graphs, and extract the insights you seek to derive. You will continue to build on your knowledge as you learn how to prepare data and feed it to machine learning algorithms, such as regularized logistic regression and random forest, using the scikit-learn package. You’ll discover how to tune the algorithms to provide the best predictions on new and, unseen data.

In the Private Training
Code: GTDSPP Duration: 2 Days

Upcoming schedule: Live Online GMT +00:00, Tuesday 02 March 2021 at 09:30 to Thursday 04 March 2021 at 17:00 - (Duration: 3 days)

Python is a powerful and popular object-oriented programming/scripting language with many high quality libraries. This Introduction to Python 3 training course provides a comprehensive introduction to the core syntax and functions provided by Python, including coverage of its object-oriented and functional programming features. The course also explores the Python standard library.

In the Private Training Virtual Training 
Code: GTIT19 Duration: 3 Days

Upcoming schedule: Live Online GMT +00:00, Tuesday 02 March 2021 at 09:30 to Thursday 04 March 2021 at 17:00 - (Duration: 3 days)

Python is a powerful and popular object-oriented programming/scripting language with many high quality libraries. This Introduction to Python 3 training course provides a comprehensive introduction to the core syntax and functions provided by Python, including coverage of its object-oriented and functional programming features. The course also explores the Python standard library.

In the Private Training Virtual Training 
Code: GTIT19 Duration: 3 Days

This Data Wrangling with Python training course starts with the absolute basics of Python, focusing mainly on data structures. It then delves into the fundamental tools of data wrangling like NumPy and Pandas libraries. You’ll explore useful insights into why you should stay away from traditional ways of data cleaning, as done in other languages, and take advantage of the specialized pre-built routines in Python. This combination of Python tips and tricks will also demonstrate how to use the same Python backend and extract/transform data from an array of sources including the Internet, large database vaults, and Excel financial tables. To help you prepare for more challenging scenarios, you’ll cover how to handle missing or wrong data, and reformat it based on the requirements from the downstream analytics tool.  The course will further help you grasp concepts through real-world examples and datasets.

In the Private Training
Code: GTDDWP Duration: 2 Days

This Data Wrangling with Python training course starts with the absolute basics of Python, focusing mainly on data structures. It then delves into the fundamental tools of data wrangling like NumPy and Pandas libraries. You’ll explore useful insights into why you should stay away from traditional ways of data cleaning, as done in other languages, and take advantage of the specialized pre-built routines in Python. This combination of Python tips and tricks will also demonstrate how to use the same Python backend and extract/transform data from an array of sources including the Internet, large database vaults, and Excel financial tables. To help you prepare for more challenging scenarios, you’ll cover how to handle missing or wrong data, and reformat it based on the requirements from the downstream analytics tool.  The course will further help you grasp concepts through real-world examples and datasets.

In the Private Training
Code: GTDDWP Duration: 2 Days

Upcoming schedule: Live Online GMT +00:00, Monday 08 March 2021 at 09:30 to Thursday 11 March 2021 at 17:00 - (Duration: 4 days)

This Advanced Python Development training course aims to extend and solidify your Python experience by exploring structural techniques and common Python APIs. You'll learn how to write OO and functional code, define and consume REST services and web sockets, implement multithreaded code, use popular Python data science libraries, implement Big Data solutions, and more.

In the Private Training Virtual Training 
Code: GTIT49 Duration: 4 Days

This Automating with Python training course entitled Automation with Python will teach you how to create Python programs to:

  •     Search for text in a file or across multiple files
  •     Create, update, move, and rename files and folders
  •     Search the Web and download online content
  •     Update and format data in Excel spreadsheets of any size
  •     Split, merge, watermark, and encrypt PDFs
  •     Send reminder emails and text notifications
  •     Fill out online forms
In the Private Training
Code: GTIT29 Duration: 3 Days

The Advanced Python 3 training course aims to take attendees beyond basic Python.
The course will enable  attendees to enable to produce more efficient, safer and maintainable code using standard Python idioms.
The course assumes you are happy with core Python concepts and syntax.

In the Private Training
Code: GTIT20 Duration: 3 Days

Upcoming schedule: Live Online GMT +00:00, Monday 08 March 2021 at 09:30 to Thursday 11 March 2021 at 17:00 - (Duration: 4 days)

This Advanced Python Development training course aims to extend and solidify your Python experience by exploring structural techniques and common Python APIs. You'll learn how to write OO and functional code, define and consume REST services and web sockets, implement multithreaded code, use popular Python data science libraries, implement Big Data solutions, and more.

In the Private Training Virtual Training 
Code: GTIT49 Duration: 4 Days

Processing big data in real time is challenging due to scalability, information inconsistency, and fault tolerance. Big Data Analysis with Python teaches you how to use tools that can control this data avalanche for you. In this course, you’ll learn practical techniques to aggregate data into useful dimensions for posterior analysis, extract statistical measurements, and transform datasets into features for other systems.

In the Private Training
Code: GTDBDAP Duration: 2 Days

The Advanced Python 3 training course aims to take attendees beyond basic Python.
The course will enable  attendees to enable to produce more efficient, safer and maintainable code using standard Python idioms.
The course assumes you are happy with core Python concepts and syntax.

In the Private Training
Code: GTIT20 Duration: 3 Days

This Automating with Python training course entitled Automation with Python will teach you how to create Python programs to:

  •     Search for text in a file or across multiple files
  •     Create, update, move, and rename files and folders
  •     Search the Web and download online content
  •     Update and format data in Excel spreadsheets of any size
  •     Split, merge, watermark, and encrypt PDFs
  •     Send reminder emails and text notifications
  •     Fill out online forms
In the Private Training
Code: GTIT29 Duration: 3 Days

Processing big data in real time is challenging due to scalability, information inconsistency, and fault tolerance. Big Data Analysis with Python teaches you how to use tools that can control this data avalanche for you. In this course, you’ll learn practical techniques to aggregate data into useful dimensions for posterior analysis, extract statistical measurements, and transform datasets into features for other systems.

In the Private Training
Code: GTDBDAP Duration: 2 Days

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Upcoming Courses

Kubernetes Administration

1 - 4 March 2021

Live Online

This Kubernetes Administration Certification training course is suitable for anyone who wants to learn the skills necessary to build and administer a Kubernetes cluster

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Go Lang training

9 - 12 March 2021 

Live Online

This Go language programming training course will help you understand how Go works, and immediately be more productive.

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SRE CERTIFICATION TRAINING

1 - 2 Feb 2021    

Live Online

Intro to the principles & practices that enable an organization to reliably and economically scale critical services.

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INTRO TO PYTHON 3

Feb 16 - 18

March 2 - 4

Live Online        

A comprehensive introduction to the core syntax and functions provided by Python, including coverage of its object-oriented and functional programming features.

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