Books & Videos

Table of Contents

Chapter: Introduction

Introduction to Fundamentals of Data Analytics in Python LiveLessons

05m 25s

Chapter: Lesson 1: Getting Set Up with the Analytical Python Ecosystem

Learning objectives

00m 55s

1.1 Obtain the software

03m 25s

1.2 Explore the Python command line from IPython

03m 22s

1.3 Experiment and chronicle in the IPython Notebook

04m 55s

Chapter: Lesson 2: Basic Data Analysis with Python

Learning objectives

00m 42s

2.1 Retrieve data from the web

05m 25s

2.2 Load, access and modify dictionaries of data

08m 45s

2.3 Analyze data in Python dictionaries

07m 29s

2.4 Understand advanced Python analytics

03m 14s

2.5 Visualize Python dictionary data with matplotlib

07m 2s

Chapter: Lesson 3: Numerical Analysis with NumPy

Learning objectives

00m 42s

3.1 Understand NumPy

03m 21s

3.2 Create arrays of data in NumPy

07m 47s

3.3 Access and modify array elements

04m 35s

3.4 Compute on arrays

08m 16s

3.5 Understand advanced NumPy

25m 35s

Chapter: Lesson 4: Advanced Analytics with SciPy and sci-kit learn

Learning objectives

00m 36s

4.1 Understand SciPy

00m 59s

4.2 Compute means, medians, quartiles, and other statistics

03m 22s

4.3 Fit data and interpolate

08m 39s

4.4 Understand sci-kit learn

03m 43s

Chapter: Lesson 5: Tabular Data Analysis with Pandas

Learning objectives

00m 58s

5.1 Understand Pandas

02m 18s

5.2 Use series objects

04m 21s

5.3 Understand dataframes objects

04m 27s

5.4 Handle missing data

03m 6s

5.5 Perform input and output

04m 43s

5.6 Understand advanced Pandas

09m 14s

Chapter: Lesson 6: Overview of Python Visualization Tools

Learning objectives

00m 41s

6.1 Understand Python's graphical data exploration tools

11m 52s

6.2 Embed Python charts into graphical applications

06m 12s

6.3. Create web-based graphics from Python

10m 45s

6.4 Visualize 3D datasets using Python

04m 7s

Chapter: Summary

Summary of Fundamentals of Data Analytics in Python LiveLessons

02m 44s