Data Science ML Full Stack

100 hours of Data Science Training Resources

These resources are divided into 12 Sections:

1. Python
2. Data Structures
3. NumPy
4. Pandas
5. Matplotlib
6. Statistics

Python

Day 1

Python Basics, python versions, Variables, data types, type function, user input type casting

First program of addition of 2 numbers.

Day 2

Operators

• Arithmetic Opeartors
• Boolean operators
• Logical operators
• Relational Opeartors
• Assignment Operators
• Bitwise Opeartors: & bitwise and , | bitwise or, ^ bitwise xor, << Bitwise left shift, >> bitwise right shift

Day 3

Conditional Statements

if else, else if, nested if else, Ternary statements Practice Questions

Day 4

While Loop part 1

• Series based questions
• Logic building
• Break statements
• continue statements

Day 5

While loop part 2

• Logic based practice Questions

Day 6

While loop part 3

• Nested while loop
• pyramid based question practice
• matrix based questions