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Outline


1. The Data Science Life Cycle
1.1 What is Data Science?
Video 1.1.1 What is Data Science?
Check for Understanding 1.1.2 What is Data Science?
Connection 1.1.3 What Does a Data Scientist Do?
Free Response 1.1.4 What Does a Data Scientist Do?
Free Response 1.1.5 Statistical Questions
Free Response 1.1.6 Lookup, Compute, Relate
Connection 1.1.7 Exploring Data I
Free Response 1.1.8 Exploring Data II
Connection 1.1.9 Exploring Data III
Free Response 1.1.10 Exploring Data IV
Free Response 1.1.11 My Interests and Goals
1.2 Gathering Data
Video 1.2.1 Gathering Data
Check for Understanding 1.2.2 Gathering Data
Free Response 1.2.3 Quantitative/Qualitative
Video 1.2.4 Live Code - Gathering Data
Exercise 1.2.5 Data Sort
Free Response 1.2.6 Pros and Cons
Free Response 1.2.7 Mini-Project: The Data Science Life Cycle
Example 1.2.8 Mini-Project: BTS
Free Response 1.2.9 Mini-Project: Collect the Data
Challenge 1.2.10 Mini-Project: Structure the Data
Free Response 1.2.11 Mini-Project: Plan for Analysis
1.3 Exploring Data Using Python
Video 1.3.1 Exploring Data Using Python
Check for Understanding 1.3.2 Exploring Data Using Python
Video 1.3.3 Live Code - Lists
Example 1.3.4 Using Lists
Exercise 1.3.5 Practice with Lists
Exercise 1.3.6 Mini-Project: Lists
Exercise 1.3.7 Practice with Operators
Exercise 1.3.8 Finding the Average
Free Response 1.3.9 Mini-Project: How Can We Use This?
1.4 Modules, Packages & Libraries
Video 1.4.1 Modules, Packages and Libraries
Check for Understanding 1.4.2 Modules, Packages, and Libraries
Video 1.4.3 Live Code - Libraries
Example 1.4.4 Random
Example 1.4.5 Math and Statistics
Example 1.4.6 Emoji
Exercise 1.4.7 Wikipedia
Connection 1.4.8 Documentation Hunt
Free Response 1.4.9 Documentation Hunt
1.5 Series and Central Tendency
Video 1.5.1 Series and Central Tendency
Check for Understanding 1.5.2 Series and Central Tendency
Example 1.5.3 Changing Indices
Example 1.5.4 Series and Indices
Exercise 1.5.5 Hot Dog Series
Example 1.5.6 People Named Anna
Exercise 1.5.7 Hot Dog Statistics
Free Response 1.5.8 Critiquing Conclusions
1.6 Measures of Spread
Video 1.6.1 Measures of Spread
Check for Understanding 1.6.2 Measures of Spread
Notes 1.6.3 CodeHS Graphics
Example 1.6.4 Measures of Spread
Exercise 1.6.5 Hot Dog Spread
Example 1.6.6 Plotting Data
Exercise 1.6.7 Hot Dog Plots
Free Response 1.6.8 Hot Dog Conclusion
1.7 Pandas DataFrames
Video 1.7.1 Pandas DataFrames
Check for Understanding 1.7.2 Pandas DataFrames
Video 1.7.3 Live Code - DataFrames
Example 1.7.4 Create a DataFrame
Exercise 1.7.5 Student Test Data
Example 1.7.6 Mammals DataFrame Info
Exercise 1.7.7 Test Data Info
Exercise 1.7.8 Test Data Selection
1.8 Selecting Columns
Video 1.8.1 Selecting Columns
Check for Understanding 1.8.2 Selecting Columns
Video 1.8.3 Live Code - Selecting Columns
Example 1.8.4 Selecting Columns
Example 1.8.5 Modifying the Index
Exercise 1.8.6 Test Data Stats
Exercise 1.8.7 Specific Test Data
1.9 Using Functions
Video 1.9.1 Using Functions
Check for Understanding 1.9.2 Using Functions
Video 1.9.3 Live Code - Functions
Example 1.9.4 Mini-Project: BTS Analysis
Exercise 1.9.5 Roller Coaster Ranking
Exercise 1.9.6 Test Data Conclusion
Challenge 1.9.7 Mini-Project: Analysis
1.10 Mini-Project: Findings
Notes 1.10.1 Presenting Findings
Example 1.10.2 Mini-Project: BTS Presentation
Challenge 1.10.3 Mini-Project: Presentation
Free Response 1.10.4 Mini-Project: Reflection
1.11 The Data Science Life Cycle Quiz
Quiz 1.11.1 The Data Science Life Cycle Quiz
2. Data Science for Change
2.1 Data Science for Change
Notes 2.1.1 Project Kickoff: Data for Change
Connection 2.1.2 Using Data in the Social Sector
Connection 2.1.3 The Akshaya Patra Foundation
Free Response 2.1.4 The Akshaya Patra Foundation
Free Response 2.1.5 Step 1: Ask Questions
2.2 Big Data and Bias
Video 2.2.1 Big Data and Bias
Check for Understanding 2.2.2 Big Data and Bias
Connection 2.2.3 Machine Learning and Human Bias
Free Response 2.2.4 Machine Learning and Human Bias
Connection 2.2.5 Cognitive Biases
Free Response 2.2.6 Cognitive Biases
Free Response 2.2.7 Step 2: Consider Data
Free Response 2.2.8 Project: Decomposing the Problem
2.3 Importing and Filtering Data
Video 2.3.1 Importing and Filtering Data
Check for Understanding 2.3.2 Importing and Filtering Data
Example 2.3.3 iloc
Example 2.3.4 loc
Exercise 2.3.5 Animal Sounds
Exercise 2.3.6 Filtering Book Data
Free Response 2.3.7 Filtering Reflection
2.4 Conditional Filtering
Video 2.4.1 Live Code - Conditional Filtering
Example 2.4.2 Conditional Filtering
Exercise 2.4.3 Instagram Filters
Exercise 2.4.4 Book Conditions
Challenge 2.4.5 Project: Import and Filter Your Data
2.5 Data Cleaning
Video 2.5.1 Data Cleaning
Check for Understanding 2.5.2 Data Cleaning
Video 2.5.3 Live Code - Data Cleaning
Example 2.5.4 Dropping Data
Example 2.5.5 Fixing Data Types
Resource 2.5.6 Data Cleaning Functions
Exercise 2.5.7 Cleaning Up the Zoo
Exercise 2.5.8 Cleaning Book Data
Challenge 2.5.9 Project: Clean Your Data
2.6 Exploring with Visualizations
Notes 2.6.1 Analyzing Your Data
Video 2.6.2 Live Code - Data Displays
Resource 2.6.3 Data Exploration Functions
Example 2.6.4 Data Displays
Challenge 2.6.5 Step 3: Analyze Data
Challenge 2.6.6 Project: Plot Your Data
2.7 Interpret and Present
Free Response 2.7.1 Your Dataset
Free Response 2.7.2 Statistical Measures
Free Response 2.7.3 Data Visualizations
Free Response 2.7.4 Step 4: Interpret Data
Free Response 2.7.5 Present Your Findings
2.8 Data Science for Change Quiz
Quiz 2.8.1 Data Science for Change Quiz
3. What's Next?
3.1 What's Next?
Notes 3.1.1 Data Science Pathways
Connection 3.1.2 Career Pathways
Notes 3.1.3 Data Science Resources
Connection 3.1.4 AI Course
Example 3.1.5 Clustering and Old Faithful
Connection 3.1.6 Python Course
Example 3.1.7 Python Demo
Connection 3.1.8 SQL Course
Example 3.1.9 SQL Demo
Free Response 3.1.10 My Pathway