Pandas for Data Analysis in Python
What’s included
$14.99 / $24.99
Get ready for your exam by enrolling in our comprehensive training course. This course includes a full set of instructional videos designed to equip you with in-depth knowledge essential for passing the certification exam with flying colors.
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Video Courses
Introduction to the Course
| Lectures | Duration |
|---|---|
| 1. Installation Instructions | 49s |
1. Installation Instructions
49s
IPython Notebooks and Raw Python Data Analysis
| Lectures | Duration |
|---|---|
| 1. Tools of the Trade, The IPython Notebook | 10m 6s |
| 2. Maps | 7m 7s |
| 3. Filters | 5m 45s |
| 4. List Comprehensions | 6m 40s |
| 5. Lambda Functions | 9m 44s |
1. Tools of the Trade, The IPython Notebook
10m 6s
2. Maps
7m 7s
3. Filters
5m 45s
4. List Comprehensions
6m 40s
5. Lambda Functions
9m 44s
The Basics of NumPy
| Lectures | Duration |
|---|---|
| 1. NumPy Array Basics | 6m 9s |
| 2. Boolean Selection | 10m 20s |
| 3. Helpful Methods and Shortcuts | 12m 59s |
| 4. Vectorization | 7m 8s |
| 5. Multi-Dimensional Arrays | 14m 12s |
| 6. Querying Slicing, Combining, and Splitting Arrays | 12m 42s |
1. NumPy Array Basics
6m 9s
2. Boolean Selection
10m 20s
3. Helpful Methods and Shortcuts
12m 59s
4. Vectorization
7m 8s
5. Multi-Dimensional Arrays
14m 12s
6. Querying Slicing, Combining, and Splitting Arrays
12m 42s
Pandas Basics
| Lectures | Duration |
|---|---|
| 1. General pandas Concepts | 10m 40s |
1. General pandas Concepts
10m 40s
pandas Series
| Lectures | Duration |
|---|---|
| 1. Overview of the pandas Series | 7m 25s |
| 2. Look Ups, Selections, and Indexing | 11m 1s |
| 3. Advanced Indexing Options | 6m 56s |
| 4. Handling NaN Values, Reindexing, Filling Methods and Series Addition | 12m 6s |
| 5. Series Multiplication, More Reindexing, and Mapping | 6m 5s |
1. Overview of the pandas Series
7m 25s
2. Look Ups, Selections, and Indexing
11m 1s
3. Advanced Indexing Options
6m 56s
4. Handling NaN Values, Reindexing, Filling Methods and Series Addition
12m 6s
5. Series Multiplication, More Reindexing, and Mapping
6m 5s
pandas DataFrame
| Lectures | Duration |
|---|---|
| 1. DataFrame Basics | 10m 4s |
| 2. Reading Files, Plotting, and Basic Methods | 10m 45s |
| 3. More Plotting, Joins, Basic DateTime Indexing, and Writing to Files | 11m 53s |
| 4. Adding & Reseting Columns, Mapping with Functions | 7m 14s |
| 5. More Mapping, Filling NaN values, Plotting, Correlations, and Histograms | 10m 17s |
| 6. More Plotting, Rolling Calculations, Basic DateTime Indexing | 5m 52s |
| 7. Analysis Concepts, Filling NaN Values, Cumulative Sums and Value Counts | 9m 20s |
| 8. Data Maintenance, Adding/ Removing Columns and Rows | 8m 18s |
| 9. Basic Grouping, Concepts of Aggregate Functions | 9m 8s |
1. DataFrame Basics
10m 4s
2. Reading Files, Plotting, and Basic Methods
10m 45s
3. More Plotting, Joins, Basic DateTime Indexing, and Writing to Files
11m 53s
4. Adding & Reseting Columns, Mapping with Functions
7m 14s
5. More Mapping, Filling NaN values, Plotting, Correlations, and Histograms
10m 17s
6. More Plotting, Rolling Calculations, Basic DateTime Indexing
5m 52s
7. Analysis Concepts, Filling NaN Values, Cumulative Sums and Value Counts
9m 20s
8. Data Maintenance, Adding/ Removing Columns and Rows
8m 18s
9. Basic Grouping, Concepts of Aggregate Functions
9m 8s
BONUS: Advanced pandas Topics
| Lectures | Duration |
|---|---|
| 1. pandas.IO.Data, Panels and Hierarchical Indexing | 11m 42s |
| 2. Advanced Reading Csvs/HTML, Binning, Categorical Data | 12m 43s |
| 3. Advanced Groupings and Aggregate Functions | 7m 56s |
| 4. More Grouping Functions including Apply and Transform | 12m 49s |
1. pandas.IO.Data, Panels and Hierarchical Indexing
11m 42s
2. Advanced Reading Csvs/HTML, Binning, Categorical Data
12m 43s
3. Advanced Groupings and Aggregate Functions
7m 56s
4. More Grouping Functions including Apply and Transform
12m 49s