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One Month of Data Science

#### Points

Activity Points
The Data Science Life Cycle
1.1 What is Data Science?
1.1.1 What is Data Science? 1
1.1.2 What is Data Science? 3
1.1.3 What Does a Data Scientist Do? 1
1.1.4 What Does a Data Scientist Do? 5
1.1.5 Statistical Questions 5
1.1.6 Lookup, Compute, Relate 5
1.1.7 Exploring Data I 1
1.1.8 Exploring Data II 5
1.1.9 Exploring Data III 1
1.1.10 Exploring Data IV 5
1.1.11 My Interests and Goals 5
1.2 Gathering Data
1.2.1 Gathering Data 1
1.2.2 Gathering Data 3
1.2.3 Quantitative/Qualitative 5
1.2.4 Live Code - Gathering Data 1
1.2.5 Data Sort 5
1.2.6 Pros and Cons 5
1.2.7 Mini-Project: The Data Science Life Cycle 5
1.2.8 Mini-Project: BTS 1
1.2.9 Mini-Project: Collect the Data 5
1.2.10 Mini-Project: Structure the Data 5
1.2.11 Mini-Project: Plan for Analysis 5
1.3 Exploring Data Using Python
1.3.1 Exploring Data Using Python 1
1.3.2 Exploring Data Using Python 3
1.3.3 Live Code - Lists 1
1.3.4 Using Lists 1
1.3.5 Practice with Lists 5
1.3.6 Mini-Project: Lists 5
1.3.7 Practice with Operators 5
1.3.8 Finding the Average 5
1.3.9 Mini-Project: How Can We Use This? 5
1.4 Modules, Packages & Libraries
1.4.1 Modules, Packages and Libraries 1
1.4.2 Modules, Packages, and Libraries 3
1.4.3 Live Code - Libraries 1
1.4.4 Random 1
1.4.5 Math and Statistics 1
1.4.6 Emoji 1
1.4.7 Wikipedia 5
1.4.8 Documentation Hunt 1
1.4.9 Documentation Hunt 5
1.5 Series and Central Tendency
1.5.1 Series and Central Tendency 1
1.5.2 Series and Central Tendency 3
1.5.3 Changing Indices 1
1.5.4 Series and Indices 1
1.5.5 Hot Dog Series 5
1.5.6 People Named Anna 1
1.5.7 Hot Dog Statistics 5
1.5.8 Critiquing Conclusions 5
1.6.3 CodeHS Graphics 1
1.6.6 Plotting Data 1
1.6.7 Hot Dog Plots 5
1.6.8 Hot Dog Conclusion 5
1.7 Pandas DataFrames
1.7.1 Pandas DataFrames 1
1.7.2 Pandas DataFrames 3
1.7.3 Live Code - DataFrames 1
1.7.4 Create a DataFrame 1
1.7.5 Student Test Data 5
1.7.6 Mammals DataFrame Info 1
1.7.7 Test Data Info 5
1.7.8 Test Data Selection 5
1.8 Selecting Columns
1.8.1 Selecting Columns 1
1.8.2 Selecting Columns 3
1.8.3 Live Code - Selecting Columns 1
1.8.4 Selecting Columns 1
1.8.5 Modifying the Index 1
1.8.6 Test Data Stats 5
1.8.7 Specific Test Data 5
1.9 Using Functions
1.9.1 Using Functions 1
1.9.2 Using Functions 3
1.9.3 Live Code - Functions 1
1.9.4 Mini-Project: BTS Analysis 1
1.9.5 Roller Coaster Ranking 5
1.9.6 Test Data Conclusion 5
1.9.7 Mini-Project: Analysis 5
1.10 Mini-Project: Findings
1.10.1 Presenting Findings 1
1.10.2 Mini-Project: BTS Presentation 1
1.10.3 Mini-Project: Presentation 5
1.10.4 Mini-Project: Reflection 5
1.11 The Data Science Life Cycle Quiz
1.11.1 The Data Science Life Cycle Quiz 15
Data Science for Change
2.1 Data Science for Change
2.1.1 Project Kickoff: Data for Change 1
2.1.2 Using Data in the Social Sector 1
2.1.3 The Akshaya Patra Foundation 1
2.1.4 The Akshaya Patra Foundation 1
2.1.5 Step 1: Ask Questions 5
2.2 Big Data and Bias
2.2.1 Big Data and Bias 1
2.2.2 Big Data and Bias 3
2.2.3 Machine Learning and Human Bias 1
2.2.4 Machine Learning and Human Bias 5
2.2.5 Cognitive Biases 1
2.2.6 Cognitive Biases 5
2.2.7 Step 2: Consider Data 5
2.2.8 Project: Decomposing the Problem 5
2.3 Importing and Filtering Data
2.3.1 Importing and Filtering Data 1
2.3.2 Importing and Filtering Data 3
2.3.3 iloc 1
2.3.4 loc 1
2.3.5 Animal Sounds 5
2.3.6 Filtering Book Data 5
2.3.7 Filtering Reflection 5
2.4 Conditional Filtering
2.4.1 Live Code - Conditional Filtering 1
2.4.2 Conditional Filtering 1
2.4.3 Instagram Filters 5
2.4.4 Book Conditions 5
2.4.5 Project: Import and Filter Your Data 5
2.5 Data Cleaning
2.5.1 Data Cleaning 1
2.5.2 Data Cleaning 3
2.5.3 Live Code - Data Cleaning 1
2.5.4 Dropping Data 1
2.5.5 Fixing Data Types 1
2.5.6 Data Cleaning Functions 1
2.5.7 Cleaning Up the Zoo 5
2.5.8 Cleaning Book Data 5
2.5.9 Project: Clean Your Data 5
2.6 Exploring with Visualizations
2.6.2 Live Code - Data Displays 1
2.6.3 Data Exploration Functions 1
2.6.4 Data Displays 1
2.6.5 Step 3: Analyze Data 5
2.6.6 Project: Plot Your Data 5
2.7 Interpret and Present
2.7.2 Statistical Measures 5
2.7.3 Data Visualizations 5
2.7.4 Step 4: Interpret Data 5
2.8 Data Science for Change Quiz
2.8.1 Data Science for Change Quiz 10
What's Next?
3.1 What's Next?
3.1.1 Data Science Pathways 1
3.1.2 Career Pathways 1
3.1.3 Data Science Resources 1
3.1.4 AI Course 1
3.1.5 Clustering and Old Faithful 1
3.1.6 Python Course 1
3.1.7 Python Demo 1
3.1.8 SQL Course 1
3.1.9 SQL Demo 1
3.1.10 My Pathway 5