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Complete Data Analysis & Science with Python & Pandas
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 28 lectures (8h 21m) | Size: 2.9 GB
Learn complete Data Analysis, Data Visualization & Data Science using Python and Pandas
What you'll learn:
Perform data operations like as grouping, pivoting, joining, and more with Python's popular "pandas" module.
Learn how to manipulate 1D, 2D, and 3D data sets
Discover hundreds of pandas methods and characteristics
Troubleshoot faulty or missing data sets
Learn to program in Python well.
You will learn about integer, float, logical, string, and other Python types.
Learn how to install packages in Python
Learn how to code in Jupiter Notebooks
Successfully perform all steps in a complex Data Science project
Learn to build statistical models, use Backward Elimination, Forward Selection, and Bidirectional Elimination techniques.
Create Basic Tableau Visualizations
Have an intermediate skill level of Python programming.
Use the numpy library to create and manipulate arrays.
Have a portfolio of many different data analysis projects.
Use the pandas module with Python to create and structure data.
Create data visualizations using matplotlib and the seaborn modules with python.
Requirements
Basic math skills
Basic to Intermediate Python Skills
Have a computer (either Mac, Windows, or Linux)
Motivate to learn
Description
Why Data Analysis?
As organizations seek to create insights and push their businesses forward with the assistance of data, the field of data analytics is expanding at a fast pace. Learn what data analytics is, why it is important, the many kinds of data analytics, and the numerous data analytics applications in this Data Analytics Complete Course. You will also learn how to use data analytics. |
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