Learning Python For Data Analysis And Visualization

Installation Setup and Overview Preview 07:16

IDEs and Course Resources Preview 10:56

More course info

iPython/Jupyter Notebook Overview Preview 14:57

Intro to numpy Preview 00:24

Take a quick glance at the links in the text and then move on to the next lecture for the video lessons!

Creating arrays Preview 07:27

Learn to create arrays with numpy and Python.

Using arrays and scalars Preview 04:41

Learn how to perform operations on multiple arrays and scalars!

Indexing Arrays Preview 14:19

Learn how to index arrays with numpy.

Array Transposition Preview 04:07

Learn several universal array functions in numpy.

Universal Array Function Preview 06:04

Learn how to transpose arrays with numpy.

Array Processing Preview 21:48

Learn different methods of processing arrays.

Array Input and Output Preview 07:59

Learn how to import and export your arrays.

Series Preview 13:58

Learn about the Series data structure in pandas.

DataFrames Preview 17:46

Learn about the DataFrame structure in pandas.

Important Note: If copying directly from Wikipedia does not work, paste the data into a word processor or NotePad Editor and then copy it from there and then run pd.read_clipboard()

Index objects Preview 04:59

Learn how to index Series and DataFrames in pandas.

Reindex Preview 15:54

Learn how to reindex in pandas.

Drop Entry Preview 05:41

Learn how to drop data entries in pandas.

Selecting Entries Preview 10:22

Learn how to select particular entries in a pandas data structure.

Data Alignment Preview 10:14

Learn how to align your data in Python.

Rank and Sort Preview 05:38

Learn how to rank and sort data entries.

Summary Statistics Preview 22:35

Learn how to quickly get summary statistics in pandas.

Missing Data Preview 11:37

Learn different ways of dealing with missing data in pandas.

Index Hierarchy Preview 13:32

Learn how to create hierarchical indexes in pandas.

Reading and Writing Text Files Preview 10:03

Learn how to import and export text files with pandas.

JSON with Python Preview 04:12

Learn how to import and export JSON files with pandas.

HTML with Python Preview 04:36

Learn how to import HTML files with pandas.

NOTE: Install the following before this lecture, using either conda install or pip install:

pip install beautifulsoup4

pip install lxml

Microsoft Excel files with Python Preview 03:51

Learn how to import and export MS Excel files with pandas.

Merge Preview 20:31

Learn the basics of merging data sets.

Merge on Index Preview 12:36

Learn how to merge using an index.

Concatenate Preview 09:19

Learn how to concatenate arrays,matrices, and DataFrames.

Combining DataFrames Preview 10:20

Learn how to combine DataFrames in pandas.

Reshaping Preview 07:51

Learn how to reshape data sets.

Pivoting Preview 05:31

Learn how to create Pivot tables with Python.

Duplicates in DataFrames Preview 05:54

Learn how to take care of duplicate data entries.

Mapping Preview 04:12

Learn how to use mapping with pandas.

Replace Preview 03:15

Learn how to replace data in pandas.

Rename Index Preview 05:55

Learn how to rename indexes in pandas.

Binning Preview 06:16

Learn how to use bins with pandas.

Outliers Preview 06:52

Learn how to find outliers in your data with pandas.

Permutation Preview 05:21

Learn how to use permutation with numpy and pandas.

GroupBy on DataFrames Preview 17:41

Learn how to use advanced groupby techniques.

GroupBy on Dict and Series Preview 13:21

Learn how to use the groupby method on Dictionaries and Series.

Aggregation Preview 12:42

Learn about Data Aggregation with Python and pandas.

Splitting Applying and Combining Preview 10:02

Learn about the powerful Split-Apply-Combine technique and how to use it in pandas.

Cross Tabulation Preview 05:06

Learn about cross-tabulation in pandas, a special case of pivot table!

Installing Seaborn Preview 01:44

Quick overview on installing seaborn. Use "conda install seaborn" or "pip install seaborn".

Histograms Preview 09:19

Learn how to create histograms using seaborn and python.

Kernel Density Estimate Plots Preview 25:58

Learn how to create kernel Density Estimation Plots with seaborn.

Combining Plot Styles Preview 06:14

Learn how to combine histograms, KDE , and rug plots onto a single figure.

Box and Violin Plots Preview 08:52

Learn how to create box and violin plots with seaborn.

Regression Plots Preview 18:39

Learn how to create regression plots in seaborn.

Heatmaps and Clustered Matrices Preview 16:49

Learn how to create heatmaps with seaborn.

Data Projects Preview Preview 03:02

Quick Preview for those interested in enrolling in the course!

Intro to Data Projects Preview 04:34

Get an introduction to Github, Kaggle, and great public data sets!

Titanic Project - Part 1 Preview 17:06

Learn how to analyze the Titanic Kaggle Problem with Python, pandas, and seaborn!

Titanic Project - Part 2 Preview 16:08

Titanic Project - Part 3 Preview 15:49

Titanic Project - Part 4 Preview 02:05

Intro to Data Project - Stock Market Analysis Preview 03:13

Data Project - Stock Market Analysis Part 1 Preview 11:19

Data Project - Stock Market Analysis Part 2 Preview 18:06

Data Project - Stock Market Analysis Part 3 Preview 10:24

Data Project - Stock Market Analysis Part 4 Preview 06:56

Data Project - Stock Market Analysis Part 5 Preview 27:40

Data Project - Intro to Election Analysis Preview 02:20

Please Note: The second presidential debate was Oct 16 and not Oct 11. Oct 11 was the date of the Vice Presidential Debate!

Data Project - Election Analysis Part 1 Preview 18:00

Data Project - Election Analysis Part 2 Preview 20:34

Data Project - Election Analysis Part 3 Preview 15:04

Data Project - Election Analysis Part 4 Preview 25:57

Introduction to Machine Learning with SciKit Learn Preview 12:51

Learn about the Pydata Ecosystem and SciKit Learn and what Machine Learning is all about!

Linear Regression Part 1 Preview 17:40

Learn about the Math behind Linear Regression then implement it with SciKit Learn!

Linear Regression Part 2 Preview 18:21

Linear Regression Part 3 Preview 18:45

Linear Regression Part 4 Preview 22:08

Logistic Regression Part 1 Preview 14:18

Logistic Regression Part 2 Preview 14:25

Logistic Regression Part 3 Preview 12:20

Logistic Regression Part 4 Preview 22:22

Multi Class Classification Part 1 - Logistic Regression Preview 18:33

Multi Class Classification Part 2 - k Nearest Neighbor Preview 23:05

Support Vector Machines Part 1 Preview 12:52

Support Vector Machines - Part 2 Preview 29:07

Naive Bayes Part 1 Preview 10:03

Naive Bayes Part 2 Preview 12:26

Decision Trees and Random Forests Preview 31:47

Learn how to Use SciKit Learn for Decision Trees and Random Forests

Natural Language Processing Part 1 Preview 07:20

Learn about Natural Language Processing!

Natural Language Processing Part 2 Preview 15:39

Learn about Natural Language Processing!

Natural Language Processing Part 3 Preview 20:48

Learn about Natural Language Processing!

Natural Language Processing Part 4 Preview 16:16

Learn about Natural Language Processing!

Intro to Appendix B Preview 02:44

Discrete Uniform Distribution Preview 06:11

Continuous Uniform Distribution Preview 07:03

Binomial Distribution Preview 12:35

Poisson Distribution Preview 10:55

Normal Distribution Preview 06:24

Sampling Techniques Preview 04:54

T-Distribution Preview 05:09

Hypothesis Testing and Confidence Intervals Preview 20:08

Chi Square Test and Distribution Preview 02:53

Bayes Theorem Preview 10:02

Introduction to SQL with Python Preview 09:59

SQL - SELECT,DISTINCT,WHERE,AND & OR Preview 09:58

SQL WILDCARDS, ORDER BY, GROUP BY and Aggregate Functions Preview 08:25

Web Scraping Part 1 Preview 12:14

Web Scraping Part 2 Preview 12:14

Python Overview Part 1 Preview 18:52

Python Overview Part 2 Preview 12:18

Python Overview Part 3 Preview 10:13

Bonus Lecture Preview 00:10

Intro for Learning Python