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Python

Data Science

Python has emerged as a popular and effective language in the world of data science. The dynamic nature of the language, the relative simplicity of the syntax, and the abundance of fast and powerful libraries have all been important contributory factors in this growth.

This Python Data Science training course takes a detailed look at the most popular Python libraries for numeric processing, statistical analysis, machine learning, and visualization. We also show how to make use of common Python data types and algorithms to achieve real-world tasks.

In the Private Training Virtual Training 
Code: GTIT51 Duration: 3 Days

New

Python has emerged as a popular and effective language in the world of data science. The dynamic nature of the language, the relative simplicity of the syntax, and the abundance of fast and powerful libraries have all been important contributory factors in this growth.

This Python Data Science training course takes a detailed look at the most popular Python libraries for numeric processing, statistical analysis, machine learning, and visualization. We also show how to make use of common Python data types and algorithms to achieve real-world tasks.

In the Private Training Virtual Training 
Code: GTIT51 Duration: 3 Days

Python

This Introduction to Python and PySpark Development training course is designed to provide Developers and/or Data Analysts a gentle immersive hands-on introduction to the Python programming language and Apache PySpark.

In the Private Training
Code: GTPPSD Duration: 2 Days or 3 Days

This Introduction to Python and PySpark Development training course is designed to provide Developers and/or Data Analysts a gentle immersive hands-on introduction to the Python programming language and Apache PySpark.

In the Private Training
Code: GTPPSD Duration: 2 Days or 3 Days

Python has emerged as a popular and effective language in the world of data science. The dynamic nature of the language, the relative simplicity of the syntax, and the abundance of fast and powerful libraries have all been important contributory factors in this growth.

This Python Data Science training course takes a detailed look at the most popular Python libraries for numeric processing, statistical analysis, machine learning, and visualization. We also show how to make use of common Python data types and algorithms to achieve real-world tasks.

In the Private Training Virtual Training 
Code: GTIT51 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

Python has emerged as a popular and effective language in the world of data science. The dynamic nature of the language, the relative simplicity of the syntax, and the abundance of fast and powerful libraries have all been important contributory factors in this growth.

This Python Data Science training course takes a detailed look at the most popular Python libraries for numeric processing, statistical analysis, machine learning, and visualization. We also show how to make use of common Python data types and algorithms to achieve real-world tasks.

In the Private Training Virtual Training 
Code: GTIT51 Duration: 3 Days

Upcoming schedule: Live Online, Tuesday 08 September 2020 at 09:00 to Thursday 10 September 2020 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 classroom In the Private Training Virtual Training 
Code: GTIT19 Duration: 3 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 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

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, Tuesday 08 September 2020 at 09:00 to Thursday 10 September 2020 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 classroom In the Private Training Virtual Training 
Code: GTIT19 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

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

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About GuruTeam

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Upcoming Courses

Kubernetes Administration

18th - 21st August - Live Online

12th - 15th October - 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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CompTIA Network+ FastTrack

Coming Soon

This fast-paced course teaches the essentials of networking and helps to prepare the student for the CompTIA Network+ certification.

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Applied Data Science and Big Data Analytics

Coming Soon

Learn about the theoretical and practical aspects of using Python in the realm of Data Science, Business Analytics, and Data Logistics

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Introduction to Python 3

8th - 10th September - Live Online

29th September - 1st October-  Live Online

20th - 22nd October  -  Live Online

  10th - 12th November -  Live Online

                                                                                        24th - 26th November -  Live Online

                                                                                         15th - 17th December -  Live Online

Python is a powerful and popular object-oriented programming/scripting language with many high quality libraries.

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