Master Pandas and Python for Data Handling [2024]

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Henrik Johansson

21:47:34

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1. Introduction

1. Introduction to Master Pandas and Python for Data Handling.mp4

14:00

2. Setup of the Anaconda Cloud Notebook.mp4

14:03

3. Download and installation of the Anaconda Distribution (optional).mp4

21:05

4. The Conda Package Management System (optional).mp4

35:00

2. Master Python for Data Handling

1. Overview of Python for Data Handling.mp4

28:25

2. Python Integer.mp4

14:12

3. Python Float.mp4

10:50

4. Python Strings I.mp4

15:03

5. Python Strings II Intermediate String Methods.mp4

22:36

6. Python Strings III DateTime Objects and Strings.mp4

27:33

7. Overview of Python Native Data Storage Structures.mp4

03:00

8. Python Set.mp4

15:20

9. Python Tuple.mp4

27:35

10. Python Dictionary.mp4

30:00

11. Python List.mp4

33:57

12. Overview of Python Data Transformers and Functions.mp4

03:06

13. Python While-loop.mp4

19:20

14. Python For-loop.mp4

15. Python Logic Operators and conditional code branching.mp4

31:00

16. Python Functions I Some theory.mp4

03:20

17. Python Functions II create your own functions.mp4

33:53

18. Python Object Oriented Programming I Some theory.mp4

14:10

19. Python Object Oriented Programming II create your own custom objects.mp4

39:20

20. Python Object Oriented Programming III Files and Tables.mp4

27:17

21.1 Text file.txt

21. Python Object Oriented Programming IV Recap and More.mp4

58:21

3. Master Pandas for Data Handling

1. Master Pandas for Data Handling Overview.mp4

11:21

2. Pandas theory and terminology.mp4

11:13

3. Creating a Pandas DataFrame from scratch.mp4

30:47

4. Pandas File Handling Overview.mp4

02:51

5. Pandas File Handling The .csv file format.mp4

18:48

6. Pandas File Handling The .xlsx file format.mp4

23:20

7. Pandas File Handling SQL-database files and Pandas DataFrame.mp4

15:08

8. Pandas Operations & Techniques Overview.mp4

03:11

9. Pandas Operations & Techniques Object Inspection.mp4

19:34

10. Pandas Operations & Techniques DataFrame Inspection.mp4

18:53

11. Pandas Operations & Techniques Column Selections.mp4

21:04

12. Pandas Operations & Techniques Row Selections.mp4

21:11

13. Pandas Operations & Techniques Conditional Selections.mp4

21:27

14. Pandas Operations & Techniques Scalers and Standardization.mp4

23:08

15.1 dataframes.zip

15. Pandas Operations & Techniques Concatenate DataFrames.mp4

29:21

16.1 pandas ops tech join df.zip

16. Pandas Operations & Techniques Joining DataFrames.mp4

19:30

17.1 pandas ops tech merge dataset.zip

17. Pandas Operations & Techniques Merging DataFrames.mp4

30:48

18.1 pandas t pivot dataset.zip

18. Pandas Operations & Techniques Transpose & Pivot Functions.mp4

34:31

19. Pandas Data Preparation I Overview & workflow.mp4

05:23

20. Pandas Data Preparation II Edit DataFrame labels.mp4

20:16

21. Pandas Data Preparation III Duplicates.mp4

22:23

22. Pandas Data Preparation IV Missing Data & Imputation.mp4

54:35

23. Pandas Data Description I Overview.mp4

02:35

24. Pandas Data Description II Sorting and Ranking.mp4

26:51

25. Pandas Data Description III Descriptive Statistics.mp4

31:40

26. Pandas Data Description IV Crosstabulations & Groupings.mp4

30:06

27. Pandas Data Visualization I Overview.mp4

03:35

28. Pandas Data Visualization II Histograms.mp4

42:34

29. Pandas Data Visualization III Boxplots.mp4

33:00

30. Pandas Data Visualization IV Scatterplots.mp4

40:00

31. Pandas Data Visualization V Pie Charts.mp4

45:40

32. Pandas Data Visualization VI Line plots.mp4

50:24

Description

Learn to Master Python, Pandas and Advanced Data Handling for Data Analysis, Data Science, and Machine Learning

What You'll Learn?

Master Python programming with Python’s native data structures, data transformers, functions, object orientation, and logic
Use and design advanced Python constructions and execute detailed Data Handling tasks with Python incl. File Handling
Use Python’s advanced object-oriented programming and make your own custom objects, functions and how to generalize functions
Manipulate data and use advanced multi-dimensional uneven data structures
Master the Pandas library for Advanced Data Handling
Use the language and fundamental concepts of the Pandas library and to handle all aspects of creating, changing, modifying, and selecting Data from a Pandas D
Use file handling with Pandas and how to combine Pandas DataFrames with Pandas concat, join, and merge functions/methods
Perform advanced data preparation including advanced model-based imputation of missing data and the scaling and standardizing of data
Make advanced data descriptions and statistics with Pandas. Rank, sort, cross-tabulate, pivot, melt, transpose, and group data
[Bonus] Make advanced Data Visualizations with Pandas, Matplotlib, and Seaborn
Perform Advanced Data Handling
[Cloud computing]: Use the Anaconda Cloud Notebook (Cloud-based Jupyter Notebook). Learn to use Cloud computing resources.
Option: To use the Anaconda Distribution (for Windows, Mac, Linux)
Option: Use Python environment fundamentals with the Conda package management system

Who is this for?

Anyone who wants to learn to Master Python 3 from scratch or the beginner level

Anyone who wants to learn to Master Python 3 and knows another programming language

Anyone who wants to reach the Master - intermediate Python programmer level as required by many advanced Udemy courses in Python, Data Science, or Machine Learning

Anyone who wants to learn Data Handling with Python

Anyone who wants to learn to Master the Pandas library

Anyone who wants to learn Data Handling skills that work as a force multiplier and that they will have use of in their entire career

Anyone who wants to learn advanced Data Handling and improve their capabilities and productivity

What You Need to Know?

Everyday experience using a computer with either Windows, MacOS, iOS, Android, ChromeOS, or Linux is recommended

Access to a computer with an internet connection

Programming experience is not needed and you will be taught everything you need

The course only uses costless software

Walk-you-through installation and setup videos for Cloud computing and Windows 10/11 is included

More details

Description
This two-in-one video course will teach you to master Python 3, Pandas 2-3, and Data Handling.
Python 3 is one of the most popular programming languages in the world, and Pandas 2 and future 3 is the most powerful, efficient, and useful Data Handling library in existence.
You will learn to master Python's native building blocks and powerful object-oriented programming. You will design your own advanced constructions of Pythonâ€™s building blocks and execute detailed Data Handling tasks with Python.
You will learn to master the Pandas library and to use its powerful Data Handling techniques for advanced Data Science, Statistics, and Machine Learning Data Handling tasks. The Pandas library is a fast, powerful, flexible, and easy-to-use open-source data analysis and data manipulation tool, which is directly usable with the Python programming language.

You will learn to:

Master Python programming with Pythonâ€™s data structures, data transformers, functions, object orientation, and logic
Use and design advanced Python constructions and execute detailed Data Handling tasks with Python incl. File Handling
Use Pythonâ€™s advanced object-oriented programming and make your own custom objects, functions and how to generalize functions
Manipulate data and use advanced multi-dimensional uneven data structures

Master the Pandas library for Advanced Data Handling
Use the language and fundamental concepts of the Pandas library and to handle all aspects of creating, changing, modifying, and selecting Data from a Pandas DataFrame object
Use file handling with Pandas and how to combine Pandas DataFrames with Pandas concat, join, and merge functions/methods
Perform advanced data preparation including advanced model-based imputation of missing data and the scaling and standardizing of data
Make advanced data descriptions and statistics with Pandas. Rank, sort, cross-tabulate, pivot, melt, transpose, and group data
[Bonus] Make advanced Data Visualizations with Pandas, Matplotlib, and Seaborn
Perform Advanced Data Handling

[Cloud computing]: Use the Anaconda Cloud Notebook (Cloud-based Jupyter Notebook). Learn to use Cloud computing resources.
Option: To use the Anaconda Distribution (for Windows, Mac, Linux)
Option: Use Python environment fundamentals with the Conda package management system and command line installing/updating of libraries and packages â€“ golden nuggets to improve your quality of work life.
And much moreâ€¦

This course is an excellent way to learn to master Python, Pandas and Data Handling! Data Handling is the process of making data useful and usable for data analysis. Most Data Scientists and Machine Learning Engineers spends about 80% of their working efforts and time on Data Handling tasks.
Being good at Python, Pandas, and Data Handling are extremely useful and time-saving skills that functions as a force multiplier for productivity.

This course is designed for anyone who wants to:
learn to Master Python 3 from scratch or the beginner level
learn to Master Python 3 and knows another programming language
reach the Master - intermediate Python programmer level as required by many advanced Udemy courses in Python, Data Science, or Machine Learning
learn Data Handling with Python
learn to Master the Pandas library
learn Data Handling skills that work as a force multiplier and that they will have use of in their entire career
learn advanced Data Handling and improve their capabilities and productivity

Requirements:
Everyday experience using a computer with either Windows, MacOS, iOS, Android, ChromeOS, or Linux is recommended
Access to a computer with an internet connection
Programming experience is not needed and you will be taught everything you need
The course only uses costless software
Walk-you-through installation and setup videos for Cloud computing and Windows 10/11 is included

This course is the course we ourselves would want to be able to enroll in if we could time-travel and become new students. In our opinion, this course is the best course to learn to Master Python, Pandas, and Data Handling.

Enroll now to receive 20+ hours of video tutorials with manually edited English captions, and a certificate of completion after completing the course!
Who this course is for:
Anyone who wants to learn to Master Python 3 from scratch or the beginner level
Anyone who wants to learn to Master Python 3 and knows another programming language
Anyone who wants to reach the Master - intermediate Python programmer level as required by many advanced Udemy courses in Python, Data Science, or Machine Learning
Anyone who wants to learn Data Handling with Python
Anyone who wants to learn to Master the Pandas library
Anyone who wants to learn Data Handling skills that work as a force multiplier and that they will have use of in their entire career
Anyone who wants to learn advanced Data Handling and improve their capabilities and productivity

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Henrik has a wide instructor/lecturer experience with more than 20 years in roles ranging from University teacher to sports coach to leadership roles in the private and public sectors.Henrik has experience teaching students from all walks of life, from the poor to royalty, and has taught students from nearly all educational backgrounds, from high school to Ph.D.s.Courses given by Henrik are intended to have unique content, and will teach you many new things.

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