Complete guide to begin with Python for Data Science-0daytown

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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