Course Content
Day-2: How to use VScode (an IDE) for Python?
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Day-3: Basics of Python Programming
This section will train you for Python programming language
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Day-4: Data Visualization and Jupyter Notebooks
You will learn basics of Data Visualization and jupyter notebooks in this section.
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Day-5: MarkDown language
You will learn whole MarkDown Language in this section.
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Day-10: Data Wrangling and Data Visualization
Data Wrangling and Visualization is an important part of Exploratory Data Analysis, and we are going to learn this.
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Day-11: Data Visualization in Python
We will learn about Data Visualization in Python in details.
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Day-12,13: Exploratory Data Analysis (EDA)
EDA stands for Exploratory Data Analysis. It refers to the initial investigation and analysis of data to understand the key properties and patterns within the dataset.
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Day-15: Data Wrangling Techniques (Beginner to Pro)
Data Wrangling in python
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Day-26: How to use Conda Environments?
We are going to learn conda environments and their use in this section
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Day-37: Time Series Analysis
In this Section we will learn doing Time Series Analysis in Python.
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Day-38: NLP (Natural Language Processing)
In this section we learn basics of NLP
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Day-39: git and github
We will learn about git and github
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Day-40: Prompt Engineering (ChatGPT for Social Media Handling)
Social media per activae rehna hi sab kuch hy, is main ap ko wohi training milay ge.
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Python ka Chilla for Data Science (40 Days of Python for Data Science)
About Lesson

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Arslan Khalid 3 days ago
"As a beginner, I found that there was a lot for me to learn."
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Ahmad Hassan 2 weeks ago
good
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Faizan Ahmad 3 weeks ago
Best course ... JazakAllah Sir ...
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Sheikh Abdul Rafay 4 weeks ago
"As a beginner, I found that there was a lot for me to learn."
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Danish Azeem 4 months ago
Dear Dr. Aammar Tufail,I want to express my sincere appreciation for your efforts in developing this data science course. It has been an invaluable resource for me as I begin my journey into this field. The course content is very well-structured and clearly presented, making it easy to learn and understand even complex concepts.I am impressed by the amount of knowledge I have gained through your instruction. I am particularly grateful for your [mention specific examples of aspects you found beneficial, like explanations, examples, or assignments]. Your dedication to your students and their learning clearly shines through.Thank you again for this outstanding course. I am confident that the skills I have acquired will be a valuable asset in my future endeavors.Sincerely, Danish Azeem
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Ali Haider 4 months ago
Thanks you sir , I am learn a lot of things.
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Muhammad Sameer 4 months ago
"As a beginner, I found that there was a lot for me to learn."
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Talha Wahid 5 months ago
excellent way of Teaching. may Allah bless you sir with great progress and happiness in your life. Amin!
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Iqra Farooq 5 months ago
very easy and conceptual explanation
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Arshad Khan 5 months ago
Very easy and conceptual explanation. I like his method of teaching. I advice everyone o learn data science from this talented teacher.
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