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