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Course name Software Engineering Courses Pandas for Data Analysis in Python: Pandas for Data Analysis in Python

Pandas for Data Analysis in Python Video Course

Pandas for Data Analysis in Python Video Course is developed by Software Engineering Courses Professionals to help you pass the Pandas for Data Analysis in Python exam.

You Will Learn:

Was 21.99 USD
Now 19.99 USD

Description

This course will improve your knowledge and skills required to pass Pandas for Data Analysis in Python exam.

Curriculum For This Course

  • 1. Introduction to the Course 1 Videos 00:00:49
    • Installation Instructions 00:49
  • 2. IPython Notebooks and Raw Python Data Analysis 5 Videos 00:39:21
    • Tools of the Trade, The IPython Notebook 10:06
    • Maps 07:07
    • Filters 05:45
    • List Comprehensions 06:40
    • Lambda Functions 09:44
  • 3. The Basics of NumPy 6 Videos 01:03:30
    • NumPy Array Basics 06:09
    • Boolean Selection 10:20
    • Helpful Methods and Shortcuts 12:59
    • Vectorization 07:08
    • Multi-Dimensional Arrays 14:12
    • Querying Slicing, Combining, and Splitting Arrays 12:42
  • 4. Pandas Basics 1 Videos 00:10:40
    • General pandas Concepts 10:40
  • 5. pandas Series 5 Videos 00:43:33
    • Overview of the pandas Series 07:25
    • Look Ups, Selections, and Indexing 11:01
    • Advanced Indexing Options 06:56
    • Handling NaN Values, Reindexing, Filling Methods and Series Addition 12:06
    • Series Multiplication, More Reindexing, and Mapping 06:05
  • 6. pandas DataFrame 9 Videos 01:22:51
    • DataFrame Basics 10:04
    • Reading Files, Plotting, and Basic Methods 10:45
    • More Plotting, Joins, Basic DateTime Indexing, and Writing to Files 11:53
    • Adding & Reseting Columns, Mapping with Functions 07:14
    • More Mapping, Filling NaN values, Plotting, Correlations, and Histograms 10:17
    • More Plotting, Rolling Calculations, Basic DateTime Indexing 05:52
    • Analysis Concepts, Filling NaN Values, Cumulative Sums and Value Counts 09:20
    • Data Maintenance, Adding/ Removing Columns and Rows 08:18
    • Basic Grouping, Concepts of Aggregate Functions 09:08
  • 7. BONUS: Advanced pandas Topics 4 Videos 00:45:10
    • pandas.IO.Data, Panels and Hierarchical Indexing 11:42
    • Advanced Reading Csvs/HTML, Binning, Categorical Data 12:43
    • Advanced Groupings and Aggregate Functions 07:56
    • More Grouping Functions including Apply and Transform 12:49