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

Ap ko pata hy kia k Data Visualization bht zaroori hy.

Data visualization ka bahot zaroori kaam hai doston. Agar aapko data ko dekhne se samajhna hai to data visualization ki madad se hum data ko visual form mein present kar sakte hain. Ye hume data me se pattern nikalne me aur analysis karne me madad karta hai.

Python me bohot sare libraries hain jo data visualization karne me madad karte hain. Mujhe pata hai ki matlab sahi nahi hoga agar main unn sabka naam likhunga to main kuch popular wale batata hoon:

  • Matplotlib: Ye sabse popular aur comprehensive library hai. Isse hum 2D v 3D plots banane me madad milta hai.

  • Seaborn: Matplotlib pe based hai par usse data visualization ko moddern feel deta hai through aesthetic default styles.

  • Plotly: interactive plots banane ke liye bahot accha hai.

  • Bokeh: Interactive plots aur dashboards banane me bahot accha hai jisse analysis ko samajhne me madad milta hai.

  • Pandas: Dataframes pe operate karne ke liye bahot helpful hai aur usse basic plots banane me bhi madad karta hai.

  • Pygal: SVG ko render karne wali library hai jisse themes pe based fancy charts banane me madad milta hai.

To bass Pakistani bhaiyonor un ki behnon (just kidding), agar aap data analysis karna chahte ho to zaroor data visualization use karlena taki data samajhne me aasaan ho. Haan, aur Python me bohot saare library hain jinse aap graphics bana sakte ho!

Join the conversation
Salman Ahmed 4 months ago
SIR MEIN AP KA COURSE ABHI KR RAHA HOON MEIN DATA LIABRARY KESAY DOWNLOAD KARO
Reply
Ghayas uddin 6 months ago
QUESTION: What is the full form Pandas? ANSWER: Pandas= Python Data Analysis.
Reply
Nabeel Ahmad 6 months ago
pandas stands for Python data analysis
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Aiman Mukhtar 6 months ago
can you please send the link here too
Reply
Abdul Ghaffar 8 months ago
intalled libraries pandas, numpy, matplotlib, seaborn, plotly, scipy, scikit-learn, streamlit but one by one
Reply
Altaf Hussain 8 months ago
How to install pip
Reply
Muhammad Ikram 3 weeks ago
cmd m install krein. pip install pip
Umer Riaz 8 months ago
Aslam o Alaikum Sir? You have done Great Job. Sir kindly data ka Source link yahan b send kr dain. jahan se ap plot draw kr re hain
Reply
Jamal Naseem 8 months ago
Salam, I was watching your videos you shared the link with students, May i know the link where you got the code ?
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Aqib Sheraz 8 months ago
Done
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Aqib Sheraz 8 months ago
12/10/2023
Rana Adnan 8 months ago
Hyeeeeeee😍😍 Ye graph tou kamal hain 🥹
Reply