Pandas from Basic to Advance For Absolute Beginners.

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Udex class

3:32:15

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1. Introduction

1. Introduction.mp4

05:13

2. Part 1 - Series In Pandas

1. Creating Series from Python List.mp4

07:25

2. Creating Series from Python Dictionary.mp4

02:35

3. Attributes of Pandas Series.mp4

06:26

4. Series Using read csv.mp4

07:56

5. Head ,Tail ,Sample Methos of Series.mp4

04:38

6. Value Counts Method in Pandas.mp4

02:40

7. Sort Value Method in Pandas.mp4

02:17

8. Sort Index Method in pandas.mp4

03:13

9. Series Maths Methods.mp4

11:10

10. Indexing In Pandas Series.mp4

02:50

11. Slicing In Pandas Series.mp4

03:17

12. Fancy Indexing in Pandas Series.mp4

03:06

13. Editing Pandas Series.mp4

04:54

14. Python Functionality In Series.mp4

01:34

15. Converting Series into List or Dictionary.mp4

01:02

16. Membership Operation in Series.mp4

01:40

17. Looping In Pandas Series.mp4

00:21

18. Arithmetic & Relational Operation in Series.mp4

02:21

19. Plotting Graph on Series.mp4

01:44

20. Converting datatype of series.mp4

01:47

21. Between methods in series.mp4

01:07

22. Clip method in series.mp4

01:49

23. Drop the duplicate value in series.mp4

01:00

24. NAN Values Solution in Series.mp4

02:04

25. Apply methods in series.mp4

02:07

26. Copy methods in Series.mp4

01:14

3. Part 2 - DataFrame In Pandas

1. Create DataFrame using python List.mp4

02:33

2. Create DataFrame using Python Dictionary.mp4

01:05

3. Create DataFrame by Uploading CSV File.mp4

01:15

4. Methods & Attributes of DataFrame.mp4

10:26

5. Axis arguments in Pandas.mp4

03:22

6. Selecting Columns from DataFrame.mp4

02:47

7. Selecting Rows Using iIoc Function.mp4

04:38

8. Selecting Rows Using loc Function.mp4

03:09

9. Selecting Rows & Columns.mp4

05:51

10. Adding Columns to the DataFrame.mp4

04:35

4. GroupBy In Pandas

1. GroupBy with Easy Introduction Part 1.mp4

18:06

2. GroupBy on Real world Dataset part 2.mp4

16:06

3. GroupBy Functions Part 3.mp4

05:51

5. Joins In Pandas

1. Introduction of Joins , Inner Join.mp4

13:24

2. Left Outer Join in Pandas.mp4

05:28

3. Right Outer joins in Pandas.mp4

04:24

4. Full Outer Join in Pandas.mp4

04:37

5. Work on Real World Dataset to Understanding Join in Pandas.mp4

17:08

Description

Complete Pandas from Basic to most advance . You will Learn Everything in Pandas Series and Dataframe

What You'll Learn?

Understanding Pandas Library from zero to advanced
All the methods and Attributes of Pandas
Work with Real world Dataset
Advance Pandas concepts like Indexing , Slicing , and many more

Who is this for?

Beginner in Python wants to Learn Data Science

What You Need to Know?

python

Numpy

More details

Description
Python is a high level dynamic programming language founded in 1991.Pandas is a popular Python library used for data manipulation and analysis. In this course, you will learn how to work with Pandas to efficiently handle large datasets, perform data cleaning, filtering, grouping, merging, and visualisation
Notably, Python has emerged as the No. 1 Programming language of choice for artificial intelligence, data science, machine learning and deep learning requirements.
Hence, learning python has become a necessity for those aspiring for a career in software industry and for those who are already in the IT industry. Even if you are new to programming, this course is a good starting point.
Cloud based development environment - Google Colab
A key aspect of the course is the use of google cloud based development environment â€“ colab. As more and more companies embrace cloud in a big way, it has become imperative for programmers to gain knowledge and expertise to code in cloud.

The course covers the following concepts:
Â· Series in Pandas
Â· Methods and Attributes of Series
Â· Series Mathematical Methods
Â· Upload Dataset using read_csv
Â· Indexing in Pandas
Â· Fancy Indexing in Pandas
Â· Slicing in Pandas
Â· Series with Python Functionality
Â· Plotting Graph on Series
. Important Series Method Like clip , between , astype , drop_duplicates and many more.
. How to upload the Dataset from your system.
. Everything about the DataFrame.
. Joins like Inner , Left outer Join , Right Outer Join , Full Outer join
. GroupBy in Pandas
. Value Counts in Pandas
Who this course is for:
Beginner in Python wants to Learn Data Science

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Shubham Kr Raj is an engineer and educator who has made a significant impact on the online learning community by building Udexclass an online Platform. Born in 1999 in India, Shubham showed an early interest in science and technology. He excelled in his studies and went on to earn a Bachelor's degree in Information technology .After completing his degree, Shubham began working as an engineer in the IT industry. His work involved designing and developing advanced systems for multiple website and Data Science Projects. However, he soon realised that his true passion lay in teaching others about engineering and technology.In 2023, Shubham began teaching online courses on Udexclass an online learning. He started with a course on "Introduction to Data Science," which quickly gained popularity among students. His engaging teaching style, clear explanations, and practical examples made him a good among learners of all ages and backgrounds.In addition to his work on Udexclass, Now It's time to join world wide with the amazing educational platform Udemy .

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