Python for Data Science 第4期， 18:00 - 20:30 (USA PST), Mon, Thur 6/01 - 7/09/20 30 hour
课程内容介绍：https://vimeo.com/419424537
Click here register this online live class： http://www.usalaotu.org/student/register.php
1. What Is Data Science
Data Analysis Sequence
Data Acquisition Pipeline
Report Structure
2. Core Python for Data Science excerpt
Understanding Basic String Functions
Choosing the Right Data Structure
Comprehending Lists through List Comprehension
Counting with Counters
Working with Files
Reaching the Web
Pattern Matching with Regular Expressions
Globbing File Names and Other Strings
Pickling and Unpickling Data
3. Working with Text Data
Processing HTML Files
Handling CSV Files
Reading JSON Files
Processing Texts in Natural Languages
4. Working with Databases
Setting Up a MySQL Database
Using a MySQL Database: Command Line
Using a MySQL Database: PyMySQL
Taming Document Stores: MongoDB
5. Working with Tabular Numeric Data excerpt
Creating Arrays
Transposing and Reshaping
Indexing and Slicing
Broadcasting
Demystifying Universal Functions
Understanding Conditional Functions
Aggregating and Ordering Arrays
Treating Arrays as Sets
Saving and Reading Arrays
Generating a Synthetic Sine Wave
6. Working with Data Series and Frames
Getting Used to Pandas Data Structures
Reshaping Data
Handling Missing Data
Combining Data
Ordering and Describing Data
Transforming Data
Taming Pandas File I/O
7. Working with Network Data
Dissecting Graphs
Network Analysis Sequence
Harnessing Networkx
8. Plotting excerpt
Basic Plotting with PyPlot
Getting to Know Other Plot Types
Mastering Embellishments
Plotting with Pandas
9. Probability and Statistics
Reviewing Probability Distributions
Recollecting Statistical Measures
Doing Stats the Python Way
10. Machine Learning
Designing a Predictive Experiment
Fitting a Linear Regression
Grouping Data with k-Means Clustering
Surviving In Random Decision Forests