Duration: 1h 47m | Video: .MP4, 1280x720, 30 fps | Audio: AAC, 48 kHz, 2ch | Size: 614 MBGenre: eLearning | Language: English

Data Science Essentials with Pandas and Python introduces you to the popular Pandas library for Python.

In this course you'll learn to analyze data quickly and easily with Python's powerful Pandas library!
The goal of this course is to bring your Data Handling and Analyzing skills to the next level to build your career in Data Science, Finance or Business Analytics.
Since this is intermediate Python you are required to already master the basics of Python before enrolling into this class. My advice is to first check my other classes on Python published here on SkillShare; they will help you build a strong foundation of Python Programming Language.
In this course we'll get the skills to get ahead!
Major topics of this course
Installing and Using Jupyter Notebook.
Installing Pandas in Python 3
Pandas Series
Pandas DataFrames I. Working with Columns
Pandas DataFrames I. Working with Rows
Pandas DataFrames II. Filtering Data
Reading and Analyzing CSV Files with Pandas
Reading Excel Files. Groupby and Other Useful Operations
Reading and Analyzing HTML Pages with Pandas
Working with Missing Data
and more!
Datasets used in this course.



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