Python + Data Science: Practical Guide

  Section 1 : Introduction
1
Introduction

  Section 2 : Environment
2
Introduction to data science
3
Installing dependencies
4
Real world examples
5
Using Anaconda and Jupyter notebooks

  Section 3 : Integers and Strings
6
Introduction to variables Preview
7
Integers, floats, and math operators
8
Strings and indexing part 1
9
Strings and indexing part 2
10
Using Modulo with Strings
11
Problem
12
Answer

  Section 4 : If Statements and Basic Programming Logic
13
Booleans and Comparison Operators Preview
14
If / Else Statements
15
Elif and Logic Operators
16
Try / Except Statements
17
Finally Statements and Advance Try/Except Logic
18
Exception Types
19
Problem
20
Answer

  Section 5 : Lists, Tuples, Dictionaries and For/While Loops
21
Lists and tuples
22
Dictionaries
23
For loops
24
While loops
25
Loop logic
26
List/Dictionary comprehensions
27
Problem
28
Answer

  Section 6 : Functions and Packages
29
Scripting in Python
30
Functions
31
Function parameters and scope
32
Packages and pip
33
Reading Files and the with statement
34
Writing Out to Files
35
Problem
36
Answer

  Section 7 : Pandas and Data Frames
37
Pandas and data Frames
38
Pandas part 2
39
Introduction to statistics
40
Statistics part 2
41
Practical analysis
42
Problem
43
Answer

  Section 8 : Visualization - Scatter Plots, Bar Plots
44
Introduction to visualization
45
Plotting and styling
46
Scatter plots
47
Bar Plots and standard deviation
48
Problem
49
Answer

  Section 9 : Scraping the Web with Python
50
Scraping and HTML
51
Building a simple crawler
52
Scraping data from HTML
53
Problem
54
Answer

  Section 10 : Basics of Natural Language Processing (NLP)
55
Introduction to NLP
56
Basic NLP
57
Introduction to sentiment analysis
58
Problem
59
Answer

  Section 11 : Introduction to Machine Learning
60
Introduction to machine learning
61
Introduction to reinforcement learning
62
Introduction to random forest modeling
63
Introduction to deep learning
64
Problem
65
Answer

  Section 12 : Optional Classes
66
Python Style Guidelines
67
Navigating Directories and os Package
68
Creating a Class Type

  Section 13 : Project #1 - Analyze and visualize data on Kaggle
69
Project 1 - Analyze and visualize data on Kaggle
70
Project 1 Answer

  Section 14 : Project #2 - Natural language processing
71
Project 2 - Natural language processing
72
Project 2 Answer

  Section 15 : Project #3 - Create a simple support vector machine
73
Project 3 - Create a simple support vector machine
74
Project 3 Answer