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Data Science Training

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About Course

This Data Science course, in collaboration with IBM, accelerates your career in Data Science and provides you with the world-class training and skills required to become successful in this field. This course offers extensive training on the most in-demand Data Science and Machine Learning skills with hands-on exposure to key tools and technologies, including Python, R, Tableau, and concepts of Machine Learning. Become a Data Scientist by diving deep into the nuances of data interpretation, mastering technologies like Machine Learning, and mastering powerful programming skills to take your career in Data Science to the next level.

What Will You Learn?

  • Individuals with a bachelor’s degree and a strong interest in learning AI and data science
  • IT professionals looking to make a career transition as data scientists and artificial intelligence engineers
  • Software Developer, Project managers, Non-Technical Professionals & Entry-level professionals looking to build their careers in artificial intelligence and data science
  • Undergraduate freshers with an interest in Data Science & AI

Course Content

Module 1 – Preparatory Session – Linux and Python
* Python Introduction to Python and IDEs – The basics of the python programming language, how you can use various IDEs for python development like Jupyter, Pycharm, etc. Python Basics – Variables, Data Types, Loops, Conditional Statements, functions, decorators, lambda functions, file handling, exception handling ,etc. Object Oriented Programming – Introduction to OOPs concepts like classes, objects, inheritance, abstraction, polymorphism, encapsulation, etc. Hands-on Sessions And Assignments for Practice – The culmination of all the above concepts with real-world problem statements for better understanding. * Linux Introduction to Linux – Establishing the fundamental knowledge of how linux works and how you can begin with Linux OS. Linux Basics – File Handling, data extraction, etc. Hands-on Sessions And Assignments for Practice – Strategically curated problem statements for you to start with Linux.

  • Module 1 – Preparatory Session – Linux and Python
  • Python
  • Linux

Module 2 – Data Transformation Using SQL

Module 3 – Python Libraries For Data Science

Module 4 – Inferential Analytics

Module 5 – Machine Learning

Module 6 – Advanced Machine Learning Algorithms

Module 7 – Data Science At Scale with Pyspark

Module 8 – Deep Learning Using TensorFlow

Module 9 – Natural Language Processing

Module 10 – Computer Vision

Module 11 – Advanced Deep Learning Algorithms

Module 12 – Power BI

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