Data Science with Python
About Course
In this “Data Science with Python” course, you will learn to use python programming with multiple libraries for data analysis and visualization.
You will learn everything from the beginning, so anyone (even with no prior knowledge on python) can join the course.
We will be using libraries like Numpy and Pandas for Data Analysis, Matplotlib for Data Visualization and also learn to perform statistic tasks.
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Course By – “Technology for Noobs”
Course Content
All Lessons
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Introduction
08:53 -
Python System Setup Virtual Environments Jupyter Notebook
17:15 -
Jupyter Notebook Tutorial: Introduction, Setup
12:43 -
Data Types in Python
20:05 -
Keywords Type Conversion Operators
18:00 -
String Operations Loops If Else conditional Statements
31:33 -
Functions
16:23 -
Object Oriented Programming Class
17:23 -
Zip function in Python
05:43 -
Set in Python
11:36 -
Errors and Exceptions in Python
15:02 -
Advanced Numpy
52:30 -
Advanced Pandas Part 1
01:12:00 -
Advanced Pandas Part 2 – Rolling and expanding in Python, Windows operation in Pandas, Python
08:17 -
Advanced Pandas Part 3 – How to use Rank() in Pandas Python?
08:49 -
Advanced Pandas Part 4 – How to calculate Percent Change calculations in Pandas, fast and easy ?
03:54 -
Introduction to Matplotlib
40:41 -
Statistics, Central Limit Theorem, variability, Z Score – T-test
37:12 -
Statistical Hypothesis Testing
21:18 -
Statistical inference about 2 population
13:26 -
ANOVA, Analysis of variance in Statistics
22:33 -
Correlation in Statistics
08:37 -
Recursion Function in Python with Factorial Tree
11:55
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