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Complete guide to begin with Python for Data Science

 

Complete guide to begin with Python for Data Science

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Complete guide to begin with Python for Data Science A complete guide to begin your python learning for data science, data analysis and machine learning
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What you'll learn

  • Learn how to use Jupyter Notebook efficiently for Programming
  • Learn fundamentals of Python Programming Language and how to approach Python Assignments and solve them
  • Learn various data structures of Python - List, set, tuple, dictionaries
  • Learn how developers use Exception Handling for handling errors.
  • Learn how to use if else statements, loops with certain illustrations
  • Learn how to use functions and recursion to build a python project
  • Learn advanced functions - map and lambda which will be used in data science frequently
  • Get ready to appear for any interview, assignment, projects related to data science, development
  • Learn Variables and data types in detail.
  • Learn how to format strings and print statements

Requirements

  • Simple Mathematics - Addition, Subtraction, Multiplication, Division

Description

For those, who has never written a single code in entire life and want to move into data science or advanced python, this course provides you a simple approach to learn coding from scratch using python as a tool and master it with illustrations and assignments.

For those, who are already experienced in coding, but want to move into advanced python, this course provides you ample hands-on exercises and assignments for deeply understanding the concept.


Who this course is for:

  • Beginner Python developers
  • Data science aspirants
  • web development aspirants
  • Python for interview preparation
  • Data Analytics aspirants
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