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Data Science with Python - Outline

  1. The Data Science Life Cycle

    1. 1.1 What is Data Science?

    2. Video 1.1.1 What is Data Science?
    3. Check for Understanding 1.1.2 What is Data Science?
    4. Connection 1.1.3 What Does a Data Scientist Do?
    5. Free Response 1.1.4 What Does a Data Scientist Do?
    6. Free Response 1.1.5 Statistical Questions
    7. Free Response 1.1.6 Lookup, Compute, Relate
    8. Connection 1.1.7 Exploring Data I
    9. Free Response 1.1.8 Exploring Data II
    10. Connection 1.1.9 Exploring Data III
    11. Free Response 1.1.10 Exploring Data IV
    12. Free Response 1.1.11 My Interests and Goals

    13. 1.2 Gathering Data

    14. Video 1.2.1 Gathering Data
    15. Check for Understanding 1.2.2 Gathering Data
    16. Free Response 1.2.3 Quantitative/Qualitative
    17. Video 1.2.4 Live Code - Gathering Data
    18. Exercise 1.2.5 Data Sort
    19. Free Response 1.2.6 Pros and Cons
    20. Free Response 1.2.7 Mini-Project: The Data Science Life Cycle
    21. Example 1.2.8 Mini-Project: BTS
    22. Free Response 1.2.9 Mini-Project: Collect the Data
    23. Challenge 1.2.10 Mini-Project: Structure the Data
    24. Free Response 1.2.11 Mini-Project: Plan for Analysis

    25. 1.3 Exploring Data Using Python

    26. Video 1.3.1 Exploring Data Using Python
    27. Check for Understanding 1.3.2 Exploring Data Using Python
    28. Video 1.3.3 Live Code - Lists
    29. Example 1.3.4 Using Lists
    30. Exercise 1.3.5 Practice with Lists
    31. Exercise 1.3.6 Mini-Project: Lists
    32. Exercise 1.3.7 Practice with Operators
    33. Exercise 1.3.8 Finding the Average
    34. Free Response 1.3.9 Mini-Project: How Can We Use This?

    35. 1.4 Modules, Packages & Libraries

    36. Video 1.4.1 Modules, Packages and Libraries
    37. Check for Understanding 1.4.2 Modules, Packages, and Libraries
    38. Video 1.4.3 Live Code - Libraries
    39. Example 1.4.4 Random
    40. Example 1.4.5 Math and Statistics
    41. Example 1.4.6 Emoji
    42. Exercise 1.4.7 Wikipedia
    43. Connection 1.4.8 Documentation Hunt
    44. Free Response 1.4.9 Documentation Hunt

    45. 1.5 Series and Central Tendency

    46. Video 1.5.1 Series and Central Tendency
    47. Check for Understanding 1.5.2 Series and Central Tendency
    48. Example 1.5.3 Changing Indices
    49. Example 1.5.4 Series and Indices
    50. Exercise 1.5.5 Hot Dog Series
    51. Example 1.5.6 People Named Anna
    52. Exercise 1.5.7 Hot Dog Statistics
    53. Free Response 1.5.8 Critiquing Conclusions

    54. 1.6 Measures of Spread

    55. Video 1.6.1 Measures of Spread
    56. Check for Understanding 1.6.2 Measures of Spread
    57. Notes 1.6.3 CodeHS Graphics
    58. Example 1.6.4 Measures of Spread
    59. Exercise 1.6.5 Hot Dog Spread
    60. Example 1.6.6 Plotting Data
    61. Exercise 1.6.7 Hot Dog Plots
    62. Free Response 1.6.8 Hot Dog Conclusion

    63. 1.7 Pandas DataFrames

    64. Video 1.7.1 Pandas DataFrames
    65. Check for Understanding 1.7.2 Pandas DataFrames
    66. Video 1.7.3 Live Code - DataFrames
    67. Example 1.7.4 Create a DataFrame
    68. Exercise 1.7.5 Student Test Data
    69. Example 1.7.6 Mammals DataFrame Info
    70. Exercise 1.7.7 Test Data Info
    71. Exercise 1.7.8 Test Data Selection

    72. 1.8 Selecting Columns

    73. Video 1.8.1 Selecting Columns
    74. Check for Understanding 1.8.2 Selecting Columns
    75. Video 1.8.3 Live Code - Selecting Columns
    76. Example 1.8.4 Selecting Columns
    77. Example 1.8.5 Modifying the Index
    78. Exercise 1.8.6 Test Data Stats
    79. Exercise 1.8.7 Specific Test Data

    80. 1.9 Using Functions

    81. Video 1.9.1 Using Functions
    82. Check for Understanding 1.9.2 Using Functions
    83. Video 1.9.3 Live Code - Functions
    84. Example 1.9.4 Mini-Project: BTS Analysis
    85. Exercise 1.9.5 Roller Coaster Ranking
    86. Exercise 1.9.6 Test Data Conclusion
    87. Challenge 1.9.7 Mini-Project: Analysis

    88. 1.10 Mini-Project: Findings

    89. Notes 1.10.1 Presenting Findings
    90. Example 1.10.2 Mini-Project: BTS Presentation
    91. Challenge 1.10.3 Mini-Project: Presentation
    92. Free Response 1.10.4 Mini-Project: Reflection

    93. 1.11 The Data Science Life Cycle Quiz

    94. Quiz 1.11.1 The Data Science Life Cycle Quiz

  2. Data Science for Change

    1. 2.1 Data Science for Change

    2. Notes 2.1.1 Project Kickoff: Data for Change
    3. Connection 2.1.2 Using Data in the Social Sector
    4. Connection 2.1.3 The Akshaya Patra Foundation
    5. Free Response 2.1.4 The Akshaya Patra Foundation
    6. Free Response 2.1.5 Step 1: Ask Questions

    7. 2.2 Big Data and Bias

    8. Video 2.2.1 Big Data and Bias
    9. Check for Understanding 2.2.2 Big Data and Bias
    10. Connection 2.2.3 Machine Learning and Human Bias
    11. Free Response 2.2.4 Machine Learning and Human Bias
    12. Connection 2.2.5 Cognitive Biases
    13. Free Response 2.2.6 Cognitive Biases
    14. Free Response 2.2.7 Step 2: Consider Data
    15. Free Response 2.2.8 Project: Decomposing the Problem

    16. 2.3 Importing and Filtering Data

    17. Video 2.3.1 Importing and Filtering Data
    18. Check for Understanding 2.3.2 Importing and Filtering Data
    19. Example 2.3.3 iloc
    20. Example 2.3.4 loc
    21. Exercise 2.3.5 Animal Sounds
    22. Exercise 2.3.6 Filtering Book Data
    23. Free Response 2.3.7 Filtering Reflection

    24. 2.4 Conditional Filtering

    25. Video 2.4.1 Live Code - Conditional Filtering
    26. Example 2.4.2 Conditional Filtering
    27. Exercise 2.4.3 Instagram Filters
    28. Exercise 2.4.4 Book Conditions
    29. Challenge 2.4.5 Project: Import and Filter Your Data

    30. 2.5 Data Cleaning

    31. Video 2.5.1 Data Cleaning
    32. Check for Understanding 2.5.2 Data Cleaning
    33. Video 2.5.3 Live Code - Data Cleaning
    34. Example 2.5.4 Dropping Data
    35. Example 2.5.5 Fixing Data Types
    36. Resource 2.5.6 Data Cleaning Functions
    37. Exercise 2.5.7 Cleaning Up the Zoo
    38. Exercise 2.5.8 Cleaning Book Data
    39. Challenge 2.5.9 Project: Clean Your Data

    40. 2.6 Exploring with Visualizations

    41. Notes 2.6.1 Analyzing Your Data
    42. Video 2.6.2 Live Code - Data Displays
    43. Resource 2.6.3 Data Exploration Functions
    44. Example 2.6.4 Data Displays
    45. Challenge 2.6.5 Step 3: Analyze Data
    46. Challenge 2.6.6 Project: Plot Your Data

    47. 2.7 Interpret and Present

    48. Free Response 2.7.1 Your Dataset
    49. Free Response 2.7.2 Statistical Measures
    50. Free Response 2.7.3 Data Visualizations
    51. Free Response 2.7.4 Step 4: Interpret Data
    52. Free Response 2.7.5 Present Your Findings

    53. 2.8 Data Science for Change Quiz

    54. Quiz 2.8.1 Data Science for Change Quiz

  3. Data Storytelling

    1. 3.1 Data Storytelling

    2. Video 3.1.1 Data Storytelling
    3. Notes 3.1.2 Project Kickoff: Data Storytelling
    4. Connection 3.1.3 Sharks: Friends or Foe?
    5. Connection 3.1.4 Is That True? DUIs and the NFL
    6. Free Response 3.1.5 Data Story Reflection
    7. Connection 3.1.6 Choosing a Narrative
    8. Free Response 3.1.7 What story will you tell?

    9. 3.2 Data for Your Story

    10. Notes 3.2.1 Find and Clean the Data
    11. Challenge 3.2.2 Clean Your Data

    12. 3.3 Data Visualizations

    13. Video 3.3.1 Types of Data Visualizations
    14. Check for Understanding 3.3.2 Types of Data Visualizations
    15. Example 3.3.3 State Education Pie
    16. Example 3.3.4 School Scatterplot
    17. Debugging 3.3.5 Debug the Pie
    18. Debugging 3.3.6 Pet Bug?

    19. 3.4 Line and Bar Charts

    20. Video 3.4.1 Live Code - Line and Bar Charts
    21. Example 3.4.2 School Line Chart
    22. Example 3.4.3 Add Some Style!
    23. Exercise 3.4.4 Rain on Me
    24. Example 3.4.5 Temperature Bar Chart
    25. Example 3.4.6 Bar Chart Comparison
    26. Exercise 3.4.7 Plastic Production

    27. 3.5 Normal Distribution

    28. Video 3.5.1 Normal Distribution
    29. Check for Understanding 3.5.2 Normal Distribution Quiz
    30. Example 3.5.3 Normal Houseflies
    31. Exercise 3.5.4 SAT Scores
    32. Example 3.5.5 Likelihood of a Fly
    33. Exercise 3.5.6 SAT Predictions
    34. Exercise 3.5.7 Professor Salaries
    35. Free Response 3.5.8 Professor Reflection

    36. 3.6 Explore Univariate Data

    37. Challenge 3.6.1 Pie Chart or Boxplot
    38. Challenge 3.6.2 Histogram
    39. Free Response 3.6.3 Finding the Univariate Story

    40. 3.7 Trends and Correlations

    41. Video 3.7.1 Trends and Correlations
    42. Check for Understanding 3.7.2 Trends and Correlations Quiz
    43. Example 3.7.3 Cheese vs. Rain
    44. Exercise 3.7.4 Spurious Correlation
    45. Free Response 3.7.5 Spurious Correlation Reflection
    46. Connection 3.7.6 Moderators and Mediators
    47. Free Response 3.7.7 Moderators and Mediators Reflection

    48. 3.8 Linear Regression

    49. Video 3.8.1 Linear Regression
    50. Check for Understanding 3.8.2 Linear Regression Quiz
    51. Video 3.8.3 Live Code - Predictions
    52. Example 3.8.4 Old Faithful Model
    53. Exercise 3.8.5 Swim Time Model
    54. Example 3.8.6 Predicting Old Faithful
    55. Exercise 3.8.7 Predicting Swim Times
    56. Example 3.8.8 Old Faithful Regression
    57. Exercise 3.8.9 Swim Time Regression
    58. Free Response 3.8.10 Regression Reflection

    59. 3.9 Explore Bivariate Data

    60. Challenge 3.9.1 Linear Regression
    61. Free Response 3.9.2 Finding the Bivariate Story

    62. 3.10 Telling Your Story

    63. Free Response 3.10.1 Outline the Story Arc
    64. Free Response 3.10.2 Draft a Design
    65. Free Response 3.10.3 Peer Review
    66. Free Response 3.10.4 Final Draft

    67. 3.11 Data Storytelling Quiz

    68. Quiz 3.11.1 Data Storytelling Quiz

  4. Data Science for Business

    1. 4.1 Data Science for Business

    2. Notes 4.1.1 Project Kickoff: Data Science for Business
    3. Connection 4.1.2 Data Science for Business
    4. Free Response 4.1.3 Data Science for Business
    5. Connection 4.1.4 Business Examples
    6. Free Response 4.1.5 Business Examples
    7. Connection 4.1.6 Nonprofit Businesses
    8. Free Response 4.1.7 Nonprofit Businesses
    9. Free Response 4.1.8 Project: Create Your Template
    10. Resource 4.1.9 Business Report Template
    11. Resource 4.1.10 Sample Business Report

    12. 4.2 Quality Datasets

    13. Video 4.2.1 Quality Datasets
    14. Check for Understanding 4.2.2 Quality Datasets
    15. Video 4.2.3 Live Code - Fuzzy Matching
    16. Example 4.2.4 Google Books Quality
    17. Example 4.2.5 Cereal Production Quality
    18. Exercise 4.2.6 Determining Completeness
    19. Free Response 4.2.7 Completeness Reflection
    20. Example 4.2.8 Fuzzy Matching
    21. Exercise 4.2.9 Fuzzy Book Titles
    22. Example 4.2.10 Renaming Values
    23. Exercise 4.2.11 Fix the Book Titles

    24. 4.3 Aggregating Data

    25. Video 4.3.1 Aggregating Data
    26. Check for Understanding 4.3.2 Aggregating Data
    27. Example 4.3.3 Grouping
    28. Example 4.3.4 Sorting
    29. Exercise 4.3.5 Billionaire Sort
    30. Exercise 4.3.6 Sorting Cereal
    31. Connection 4.3.7 Data Privacy
    32. Free Response 4.3.8 Data Privacy
    33. Connection 4.3.9 What is Data Aggregation?
    34. Free Response 4.3.10 Reflection: Data Aggregation?

    35. 4.4 Combining Datasets

    36. Video 4.4.1 Combining Datasets
    37. Check for Understanding 4.4.2 Combining Datasets
    38. Video 4.4.3 Live Code - Combining
    39. Example 4.4.4 More Books, Please!
    40. Exercise 4.4.5 Concatenating Cats
    41. Example 4.4.6 Filling in Gaps
    42. Exercise 4.4.7 School Nurse
    43. Connection 4.4.8 Coding for Real Estate Data
    44. Free Response 4.4.9 Coding for Real Estate Data

    45. 4.5 Your Business Data

    46. Notes 4.5.1 Gather and Combine Your Data
    47. Exercise 4.5.2 Your Data Quality
    48. Challenge 4.5.3 Combining Your Datasets
    49. Challenge 4.5.4 Sorting Your Data
    50. Challenge 4.5.5 Clean Your Dataset
    51. Free Response 4.5.6 Project: Introduction

    52. 4.6 Bias in Data Analytics

    53. Video 4.6.1 Bias in Data Analytics
    54. Check for Understanding 4.6.2 Bias in Data Analytics Quiz
    55. Free Response 4.6.3 Avoiding Bias
    56. Challenge 4.6.4 Analyze and Interpret
    57. Challenge 4.6.5 Visualizations

    58. 4.7 Business Report

    59. Free Response 4.7.1 Project: Conclusions
    60. Free Response 4.7.2 Project: Recommendations
    61. Free Response 4.7.3 Project: Findings and Discussion
    62. Free Response 4.7.4 Project: Executive Summary
    63. Free Response 4.7.5 Completed Business Report

    64. 4.8 Data Science for Business Quiz

    65. Quiz 4.8.1 Data Science for Business Quiz

  5. Final Exam

    1. 5.1 Final Exam

    2. Quiz 5.1.1 Final Exam
    3. Resource 5.1.2 Short Answers

  6. What's Next?

    1. 6.1 What's Next?

    2. Notes 6.1.1 Data Science Pathways
    3. Connection 6.1.2 Career Pathways
    4. Notes 6.1.3 Data Science Resources
    5. Connection 6.1.4 AI Course
    6. Example 6.1.5 Clustering and Old Faithful
    7. Connection 6.1.6 Python Course
    8. Example 6.1.7 Python Demo
    9. Connection 6.1.8 SQL Course
    10. Example 6.1.9 SQL Demo
    11. Free Response 6.1.10 My Pathway

  7. Basic Python Bootcamp

    1. 7.1 Printing in Python

    2. Video 7.1.1 Printing in Python
    3. Quiz 7.1.2 Printing in Python
    4. Example 7.1.3 Hello, world!
    5. Example 7.1.4 Printing Multiple Lines
    6. Exercise 7.1.5 Introduce Yourself
    7. Debugging 7.1.6 Fix This Program!
    8. Exercise 7.1.7 Vertical name

    9. 7.2 Variables and Types

    10. Video 7.2.1 Variables and Types
    11. Quiz 7.2.2 Variables and Types
    12. Example 7.2.3 Variables in Action
    13. Example 7.2.4 Variable Types
    14. Example 7.2.5 Variable Naming
    15. Exercise 7.2.6 Make Some Variables!
    16. Debugging 7.2.7 Undefined Variables
    17. Badge 7.2.8 Variables Badge

    18. 7.3 User Input

    19. Video 7.3.1 User Input
    20. Quiz 7.3.2 User Input
    21. Example 7.3.3 Basic User Input
    22. Example 7.3.4 Type Conversion
    23. Example 7.3.5 Type Conversion, Part 2
    24. Exercise 7.3.6 Hello <name>
    25. Exercise 7.3.7 Age

    26. 7.4 Mathematical Operators

    27. Video 7.4.1 Mathematical Operators
    28. Check for Understanding 7.4.2 Mathematical Operators
    29. Example 7.4.3 Operators and Integers
    30. Example 7.4.4 Operator Precedence
    31. Exercise 7.4.5 Add Parentheses
    32. Example 7.4.6 Division in Python
    33. Example 7.4.7 Operators and Floats
    34. Exercise 7.4.8 Rectangle

    35. 7.5 String Operators

    36. Video 7.5.1 String Operators
    37. Check for Understanding 7.5.2 String Operators
    38. Example 7.5.3 Operators and Strings
    39. Debugging 7.5.4 Fix This Program
    40. Example 7.5.5 Team Sizes
    41. Exercise 7.5.6 Introduce Yourself, Part 2
    42. Exercise 7.5.7 Rectangle, Part 2
    43. Exercise 7.5.8 Rectangle, Part 3
    44. Challenge 7.5.9 Recipe

    45. 7.6 Booleans

    46. Video 7.6.1 Booleans
    47. Quiz 7.6.2 Booleans
    48. Example 7.6.3 Boolean Variables
    49. Debugging 7.6.4 Fix This Program
    50. Exercise 7.6.5 Plants

    51. 7.7 If Statements

    52. Video 7.7.1 If Statements
    53. Quiz 7.7.2 If Statements
    54. Example 7.7.3 Your First If Statement
    55. Example 7.7.4 If-Else Statement
    56. Debugging 7.7.5 Fix This Program
    57. Exercise 7.7.6 Is It Raining?
    58. Badge 7.7.7 Conditional Badge

    59. 7.8 Comparison Operators

    60. Video 7.8.1 Comparison Operators
    61. Check for Understanding 7.8.2 Comparison Operators
    62. Example 7.8.3 Comparison Operators
    63. Example 7.8.4 High Jump
    64. Example 7.8.5 Roller Coaster
    65. Exercise 7.8.6 Old Enough to Vote?
    66. Exercise 7.8.7 Positive, Zero, or Negative?
    67. Example 7.8.8 Age Group
    68. Exercise 7.8.9 Table Reservation
    69. Challenge 7.8.10 Transaction

    70. 7.9 Logical Operators

    71. Video 7.9.1 Logical Operators
    72. Check for Understanding 7.9.2 Logical Operators
    73. Example 7.9.3 Logical Operators
    74. Exercise 7.9.4 Administrators, Teachers, and Students
    75. Exercise 7.9.5 Presidential Eligibility
    76. Challenge 7.9.6 Presidential Eligibility- Extended

    77. 7.10 While Loops

    78. Video 7.10.1 While Loops
    79. Quiz 7.10.2 While Loops
    80. Example 7.10.3 Guess My Number
    81. Example 7.10.4 Program Tracing
    82. Example 7.10.5 Program Tracing, Part 2
    83. Exercise 7.10.6 2 Through 20 Even
    84. Exercise 7.10.7 Divisibility

    85. 7.11 For Loops

    86. Video 7.11.1 For Loops
    87. Check for Understanding 7.11.2 For Loops
    88. Example 7.11.3 Print 10 Numbers
    89. Example 7.11.4 1 Through 10, Part 2
    90. Exercise 7.11.5 Counting 10 to 100 by Tens
    91. Example 7.11.6 Running Total
    92. Example 7.11.7 Running Total, Part 2
    93. Exercise 7.11.8 Average Test Score
    94. Exercise 7.11.9 How Many Names?
    95. Badge 7.11.10 Loops Badge
    96. Survey 7.11.11 Mindset Survey 2

    97. 7.12 Break and Continue

    98. Video 7.12.1 Break and Continue
    99. Check for Understanding 7.12.2 Break and Continue
    100. Example 7.12.3 Break
    101. Example 7.12.4 Continue
    102. Example 7.12.5 Bike Frame Size
    103. Example 7.12.6 Loop and a Half
    104. Exercise 7.12.7 Higher/ Lower
    105. Challenge 7.12.8 Higher / Lower 2.0

    106. 7.13 Nested Control Structures

    107. Video 7.13.1 Nested Control Structures
    108. Quiz 7.13.2 Nested Control Structures
    109. Example 7.13.3 Double For Loop
    110. Example 7.13.4 Average Test Score, Part 2
    111. Example 7.13.5 For Loop + While Loop
    112. Exercise 7.13.6 Rolling Dice
    113. Exercise 7.13.7 Categories

    114. 7.14 Functions

    115. Video 7.14.1 Functions
    116. Check for Understanding 7.14.2 Functions
    117. Example 7.14.3 Greeting
    118. Example 7.14.4 Extended Greeting
    119. Exercise 7.14.5 Weather

    120. 7.15 Functions and Parameters

    121. Video 7.15.1 Functions and Parameters
    122. Check for Understanding 7.15.2 Functions and Parameters
    123. Example 7.15.3 Print a Value
    124. Example 7.15.4 Name and Age
    125. Exercise 7.15.5 Print Product
    126. Exercise 7.15.6 Print Multiple Times
    127. Example 7.15.7 Default Parameter Values
    128. Exercise 7.15.8 Area of a Square with Default Parameters

    129. 7.16 Namespaces in Functions

    130. Video 7.16.1 Namespaces in Functions
    131. Check for Understanding 7.16.2 Namespaces in Functions
    132. Example 7.16.3 Functions and Variables
    133. Example 7.16.4 Functions and Variables, Part 2
    134. Debugging 7.16.5 Fix This Program!
    135. Exercise 7.16.6 Adding to a Value
    136. Exercise 7.16.7 Add, Subtract, or Multiply

    137. 7.17 Functions and Return Values

    138. Video 7.17.1 Functions and Return Values
    139. Check for Understanding 7.17.2 Functions and Return Values
    140. Example 7.17.3 Return 10
    141. Exercise 7.17.4 Add One
    142. Example 7.17.5 Negate
    143. Example 7.17.6 Functions Calling Functions
    144. Example 7.17.7 Function Calls As Parameters
    145. Exercise 7.17.8 Sum Two Numbers
    146. Exercise 7.17.9 Temperature Converter
    147. Badge 7.17.10 Functions Badge

    148. 7.18 Exceptions

    149. Video 7.18.1 Exceptions
    150. Check for Understanding 7.18.2 Exceptions
    151. Example 7.18.3 Enter a Number
    152. Example 7.18.4 Enter Name and Age
    153. Exercise 7.18.5 Temperature Converter, Part 2
    154. Exercise 7.18.6 Enter a Positive Number