Learn Python in 40 Days with Codanics Academy

Curriculum
Description

Python Installation and Setup

Installation & First Line of Code

22m 40s

Complete Python Tutorial for Beginners

1h 54m 42s

Saving Your Python Codes in Digital Notebook

32m 1s

Indexing in Python

20m 48s

Data Structures in Python

41m 47s

Live Session About Python

2h 6m 38s

General Discussion and Examples for Python

1h 56m 9s
Basics About Python

Intro to Python Ka Chilla

23m 26s
Different Variants of Python

Line and Bar Plots in Python

30m 12s

Live Session About Python

41m 57s

Boxplots in Python

28m 25s

Customizing Plots in Python

15m 42s

Many Plots in Python

23m 33s

Live Class About Python

50m 1s
NumPy in Python for Data Science

NumPy in Python for Data Science (Part 1)

36m 25s

NumPy in Python for Data Science (Part 2)

42m 13s
MarkDown in Python

What is Markdown and How to Use it?

1h 11m 24s
GIT Tool for Python

What is GIT Tool and How to Use It?

4h 12m 56s
Jupyter Notebook in VS Code

Jupyter notebook in VS Code – How to Use it?

27m 3s
GitHub vs VS Code

How to Use GitHub Using VS Code?

17m 1s
Pandas in Python

What is Pandas and How to Use It?

1h 26m

Pandas and a Case-Study in Python for Data Science

18m 5s
Data Science Statistics

Statistics for Data Science

1h 6m 9s
Data Analysis with Python

Exploratory Data Analysis (EDA) with Python

58m 27s
Statistics for Data Science in Python

Statistics for Data Science in Python

35m 29s

Statistical Research Designs

8m 39s

Data Wrangling in Python

35m 41s

Live Class About Statistical

1h 6m 32s

Live Examples of Statistics

53m 58s
Machine Learn with Python

Introduction to Machine Learning with Python

36m 6s

Types of Machine Learning and its Algorithms

23m 29s

Simple Linear Regression for Machine Learning in Python

31m 53s

Multiple Linear Regression and Machine Learning in Python

11m 31s

Discussion About Estimators of Linear regression Machine Learning

1h 50s

Decision Tree Algorithm in Machine Learning with Python

23m 49s

Discussion and Practical of Classification in Machine Learning (Part 1)

44m 25s

Classification (Supervised Machine Learning) (Part 2)

9m 10s

K-Nearest Neighbors Machine Learning Algorithm

17m 44s

Logistic Regression in Machine Learning with Python

19m 19s

Discussion About Computer Vision Classification in Machine Learning

1h 3m

Logistic Regression and Image Classification Case Study in Python

28m 16s

Discussion About Image Classification in Machine Learning and Revision

46m 58s

Decision Tree Classifier | Theory & Coding in Python

31m 49s

Random Forest Classification and Regression in Python

36m 43s

Polynomial Regression Model

20m 58s

Naive Bayes Classification – K-Mean Clustering

49m 16s

Naive Bayes Classification in Machine Learning with Python

0s

Support Vector Machine – Machine Learning in Python

35m 43s

Clustering – Un-Supervised Machine Learning in Python

15m 5s

This course will teach you the basics of Python in just 40 days. Topics covered include installation and setup, different variants of Python, NumPy for data science, MarkDown, GIT tool for Python, Jupyter Notebook in VS Code, GitHub vs VS Code, pandas for data analysis with Python, machine learning with Python, and statistics for data science in Python.

After completing this course, you will be able to write your own programs in Python and use them for data analysis and machine learning tasks. This course is ideal for those who want to learn Python programming language and use it for data science and machine learning tasks.

So, join us now and let’s get started!

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What's included

74 hours of on-demand video
Full lifetime access
Access on mobile and TV
Certificate of completion

Aammar Tufail

5.0Instructor Rating

1,130

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Aammar Tufail

1,130

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Learn Python in 40 Days with Codanics Academy

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What's included

Requirements

Tags

Audience

What Will I Learn?

Aammar Tufail

1,130

5

2