Python ka Chilla for Data Science (40 Days of Python for Data Science)
Course Content
Day-1: Welcome and Introduction
Day-2: How to use VScode (an IDE) for Python?
Day-3: Basics of Python Programming
Day-4: Data Visualization and Jupyter Notebooks
Day-5: MarkDown language
Day-6 to Day-9: Pandas Library
Day-10: Data Wrangling and Data Visualization
Day-11: Data Visualization in Python
Day-12,13: Exploratory Data Analysis (EDA)
Day-14: ABC of Statistics for Data Science
Day-15: Data Wrangling Techniques (Beginner to Pro)
Day-16 to Day-25: Machine Learning
Day-26: How to use Conda Environments?
Day-27 to Day 35: Deep Learning with Tensorflow
Day-36: DashBoard and Web apps development for Data Science
Day-37: Time Series Analysis
Day-38: NLP (Natural Language Processing)
Day-39: git and github
Day-40: Prompt Engineering (ChatGPT for Social Media Handling)
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Student Ratings & Reviews
I have not seen such sincere effort of teaching before you from a Pakistani.
I would say this is by far the best course out there, it is fun, it is fast paced, it is a dense packed with knowledge course. Anyone and everyone who is looking forward to moving into this field should opt for this course ...
Thanks a lot to Sir Aammar Tufail ....
Thanks a lot to Sir Aammar Tufail ....