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Python Pandas Full Course in Hindi for Data Science (2024) हिंदी में सीखे

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Python Pandas Full Course in Hindi for Data Science (2024) हिंदी में सीखे

Learn Pandas in Hindi with 100+ hands-on live running coding examples and exercises

updated on icon Updated on Apr, 2024

language icon Language - Hindi

person icon Studyopedia

category icon Python,Pandas,Python Pandas,Python (Hindi),Data Science,

Lectures -28

Duration -5.5 hours

4

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Course Description

Welcome to The Complete Python Pandas Course in Hindi by Studyopedia.

Pandas is a powerful and easy-to-use open-source tool built on top of the Python programming language. It is useful for data analysis and manipulation. Python with pandas is widely used in Statistics, Finance, Neuroscience, Economics, Web Analytics, Advertising, etc.

To work with data sets, clean them, and make them relevant for Data Science is what Pandas do. With that, easily load and read data sets in Excel, CSV, JSON, XML, etc. formats with Pandas and work on them. Easily clean the wrong format data, remove duplicates, and do other tasks with Pandas.

Features

  • Analyze Data
  • Manipulate Data
  • Columns can be inserted and deleted from DataFrame
  • Group the rows/ columns of a DataFrame/ Series
  • Plotting is possible
  • Read CSV/ JSON
  • Fix the inaccurate data
  • Clean the Data completely
  • Easy to handle the missing data in the form: NaN, NA, or NaT

Course Lessons

  1. Pandas – Introduction & Features
  2. Install & Setup Pandas
  3. Create a Pandas DataFrame (Run first program)
  4. Pandas DataFrames – Attributes & Methods
  5. Join Pandas DataFrame
  6. Concatenate Pandas DataFrames
  7. Create a Pandas Series
  8. Pandas Series – Attributes & Methods
  9. Combine two Pandas series
  10. Categorical Data in Pandas
  11. Working with Categories in Pandas
  12. Read CSV in Pandas
  13. Read Excel in Pandas
  14. Indexing in Pandas
  15. Select multiple columns in Pandas
  16. Add a new column in Pandas
  17. Delete rows/ columns in Pandas
  18. Iterate over rows and columns in Pandas
  19. Sorting in Pandas
  20. Handle Duplicates in Pandas
  21. Clean the Data in Pandas
  22. String Operations in Pandas
  23. Date Time Operations in Pandas
  24. Remove Whitespace in Pandas
  25. Group the Data in Pandas
  26. Statistical Functions in Pandas
  27. Plot a DataFrame in Pandas


Bonus

28. Quiz

We have also provided an Online Quiz to polish your Pandas skills after completing the lessons.

100+ live coding examples are covered to make each lesson easier for the students.

Who this course is for:

  • Those who want to learn Pandas by doing. This course includes 50+ hands-on exercises
  • Gain a deep understanding of Python Pandas
  • Python Libraries Beginners
  • Get started with Pandas
  • Learn all the topics in Pandas

Hit the Enroll button!


Goals

What will you learn in this course:

  • Learn Pandas from scratch (2024)
  • Learn Pandas for Data Science and Data Analysis
  • Acquire essential Pandas skills
  • Practice your skills with 100+ coding exercises
  • Learn Pandas best practices
  • Be able to program in Pandas professionally.
  • Learn to read CSV and Excel files with ease in Python

Prerequisites

What are the prerequisites for this course?

  • A computer with an Internet
  • Python knowledge
  • Passion to learn Pandas
Python Pandas Full Course in Hindi for Data Science (2024) हिंदी में सीखे

Curriculum

Check out the detailed breakdown of what’s inside the course

Pandas - Introduction & Setup
3 Lectures
  • play icon Course Introduction 00:47 00:47
  • play icon Pandas Introduction & Features 03:33 03:33
  • play icon Pandas Installation & Setup 11:58 11:58
Pandas - DataFrames
4 Lectures
Tutorialspoint
Pandas - Series
3 Lectures
Tutorialspoint
Pandas - Categorical
2 Lectures
Tutorialspoint
Pandas - Read CSV, Excel
2 Lectures
Tutorialspoint
Pandas - Indexing and Selecting
2 Lectures
Tutorialspoint
Pandas - Data Manipulation
4 Lectures
Tutorialspoint
Pandas - Data Cleaning
2 Lectures
Tutorialspoint
Pandas - Operations
5 Lectures
Tutorialspoint
Pandas - Plotting
1 Lectures
Tutorialspoint

Instructor Details

Studyopedia

Studyopedia

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