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  1. 1. Explore Data Science Domains and Roles/1. Explore Data Science Domains and Roles .mp4 24.1 MB
  2. 1. Explore Data Science Domains and Roles/2. What is Data Science .mp4 95.4 MB
  3. 1. Explore Data Science Domains and Roles/3. Data Science Tools .mp4 102.3 MB
  4. 1. Explore Data Science Domains and Roles/4. Data Science Development Environments .mp4 83.6 MB
  5. 1. Explore Data Science Domains and Roles/5. What is Anaconda .mp4 48.4 MB
  6. 1. Explore Data Science Domains and Roles/6. Data Science Roles .mp4 43.4 MB
  7. 1. Explore Data Science Domains and Roles/7. The Data Science Roadmap .mp4 61.1 MB
  8. 10. Write Code using OOP Concepts for Data Science/1. Introduction .mp4 125.1 MB
  9. 10. Write Code using OOP Concepts for Data Science/2. Programming Styles .mp4 123.8 MB
  10. 10. Write Code using OOP Concepts for Data Science/3. Python Class Objects .mp4 169.4 MB
  11. 10. Write Code using OOP Concepts for Data Science/4. EDA Dimensions .mp4 66.5 MB
  12. 10. Write Code using OOP Concepts for Data Science/5. EDA Summary Statistics .mp4 74.5 MB
  13. 10. Write Code using OOP Concepts for Data Science/6. EDA Complete with Histograms .mp4 60.2 MB
  14. 11. Wrangling Data with Pandas for Data Science/1. Introduction .mp4 75.4 MB
  15. 11. Wrangling Data with Pandas for Data Science/2. What is Pandas Part 1 .mp4 79.1 MB
  16. 11. Wrangling Data with Pandas for Data Science/3. What is Pandas Part 2 .mp4 71.6 MB
  17. 11. Wrangling Data with Pandas for Data Science/4. EDA (Exploratory Data Analysis) .mp4 85.6 MB
  18. 11. Wrangling Data with Pandas for Data Science/5. Clean and Manipulate Data .mp4 96.4 MB
  19. 11. Wrangling Data with Pandas for Data Science/6. Data Visualization with Pandas (it does that also!) .mp4 103.3 MB
  20. 12. Work with Arrays Using Numpy Data Science Library/1. Introduction -3.mp4 99.7 MB
  21. 12. Work with Arrays Using Numpy Data Science Library/2. What is Numpy .mp4 52.9 MB
  22. 12. Work with Arrays Using Numpy Data Science Library/3. Numpy Vs Pandas .mp4 95.0 MB
  23. 12. Work with Arrays Using Numpy Data Science Library/4. Creating and Manipulating Arrays .mp4 63.2 MB
  24. 12. Work with Arrays Using Numpy Data Science Library/5. Array Operations, Array Methods and Functions .mp4 67.6 MB
  25. 13. Visualizing Data with Matplotlib for Data Science/1. Introduction .mp4 36.1 MB
  26. 13. Visualizing Data with Matplotlib for Data Science/2. What is Matplotlib .mp4 161.5 MB
  27. 13. Visualizing Data with Matplotlib for Data Science/3. Fields in the dataset from Kaggle .mp4 155.4 MB
  28. 13. Visualizing Data with Matplotlib for Data Science/4. Customizing Plots .mp4 80.0 MB
  29. 14. Visualize Data with Seaborn for Data Science/1. Introduction -3.mp4 69.4 MB
  30. 14. Visualize Data with Seaborn for Data Science/2. Matplotlib vs Seaborn .mp4 149.4 MB
  31. 14. Visualize Data with Seaborn for Data Science/3. Plotting with Seaborn .mp4 92.9 MB
  32. 14. Visualize Data with Seaborn for Data Science/4. Customizing Plots .mp4 82.1 MB
  33. 14. Visualize Data with Seaborn for Data Science/5. Real-world Notebook .mp4 22.0 MB
  34. 15. Explore Web Scraping Fundamentals for Data Science/1. Introduction .mp4 26.9 MB
  35. 15. Explore Web Scraping Fundamentals for Data Science/2. How the Internet Works .mp4 39.2 MB
  36. 15. Explore Web Scraping Fundamentals for Data Science/3. Visual Studio Code .mp4 97.0 MB
  37. 15. Explore Web Scraping Fundamentals for Data Science/4. HTML .mp4 45.7 MB
  38. 15. Explore Web Scraping Fundamentals for Data Science/5. CSS .mp4 53.3 MB
  39. 15. Explore Web Scraping Fundamentals for Data Science/6. Web Scraping with BeautifulSoup .mp4 148.9 MB
  40. 16. Collect Web Data with Python and BeautifulSoup/1. Introduction .mp4 55.1 MB
  41. 16. Collect Web Data with Python and BeautifulSoup/2. What is BeautifulSoup .mp4 34.0 MB
  42. 16. Collect Web Data with Python and BeautifulSoup/3. The find() Method Part 1 .mp4 91.8 MB
  43. 16. Collect Web Data with Python and BeautifulSoup/4. The find() Method Part 2 .mp4 129.4 MB
  44. 16. Collect Web Data with Python and BeautifulSoup/5. The find_all() Method Part 1 .mp4 135.7 MB
  45. 16. Collect Web Data with Python and BeautifulSoup/6. The find_all() Method Part 2 .mp4 82.3 MB
  46. 17. Use GitHub Repositories for Data Science/1. Introduction -2.mp4 38.4 MB
  47. 17. Use GitHub Repositories for Data Science/2. What is Git .mp4 61.2 MB
  48. 17. Use GitHub Repositories for Data Science/3. What is GitHub .mp4 62.0 MB
  49. 17. Use GitHub Repositories for Data Science/4. Create an Online Repo and Push Your Code to GitHub .mp4 84.8 MB
  50. 17. Use GitHub Repositories for Data Science/5. Hosting Datasets for use in Jupyter Notebook .mp4 94.0 MB
  51. 17. Use GitHub Repositories for Data Science/6. Challenge .mp4 28.9 MB
  52. 18. Analyze Core Data Structures for Data Science/1. Introduction .mp4 133.0 MB
  53. 18. Analyze Core Data Structures for Data Science/2. What are Data Structures .mp4 85.2 MB
  54. 18. Analyze Core Data Structures for Data Science/3. Python Basic Data Structure Limitations .mp4 124.7 MB
  55. 18. Analyze Core Data Structures for Data Science/4. Data Structures Deep Dive .mp4 141.5 MB
  56. 18. Analyze Core Data Structures for Data Science/5. Social Network Analysis Use Case .mp4 118.3 MB
  57. 19. Evaluate Complexity and Memory for Data Science/1. Introduction - Programming for Data Science CBT Nuggets-3.mp4 144.0 MB
  58. 19. Evaluate Complexity and Memory for Data Science/2. Complexity Analysis and Memory .mp4 93.5 MB
  59. 19. Evaluate Complexity and Memory for Data Science/3. Algorithm Comparison .mp4 121.9 MB
  60. 19. Evaluate Complexity and Memory for Data Science/4. Pandas Data Types .mp4 210.6 MB
  61. 2. Access the Command Line for Data Science/1. Introduction .mp4 170.8 MB
  62. 2. Access the Command Line for Data Science/2. What is a command-line, terminal, and Shell .mp4 137.4 MB
  63. 2. Access the Command Line for Data Science/3. macOS Terminal, Git for Windows, and Linux Emulators .mp4 80.9 MB
  64. 2. Access the Command Line for Data Science/4. Basic Linux Commands .mp4 105.6 MB
  65. 2. Access the Command Line for Data Science/5. Create Projects and Workflows .mp4 83.0 MB
  66. 20. Apply Big O Notation Concepts for Data Science/1. Introduction .mp4 131.8 MB
  67. 20. Apply Big O Notation Concepts for Data Science/2. Big O Notation .mp4 57.4 MB
  68. 20. Apply Big O Notation Concepts for Data Science/3. Big O Notation and Time Complexity Visualization .mp4 57.1 MB
  69. 20. Apply Big O Notation Concepts for Data Science/4. Quadratic time .mp4 38.2 MB
  70. 20. Apply Big O Notation Concepts for Data Science/5. Factorial time .mp4 132.6 MB
  71. 20. Apply Big O Notation Concepts for Data Science/6. Coffee Shop Complexity .mp4 109.6 MB
  72. 21. Explore R Fundamentals for Data Science/1. Introduction -3.mp4 193.7 MB
  73. 21. Explore R Fundamentals for Data Science/2. What is R and Why Should I Learn it in 2023 .mp4 167.8 MB
  74. 21. Explore R Fundamentals for Data Science/3. Getting Started with R and Google Colab .mp4 176.8 MB
  75. 21. Explore R Fundamentals for Data Science/4. R Data Types .mp4 101.0 MB
  76. 22. Implement and Compare R Data Structures/1. Introduction .mp4 117.7 MB
  77. 22. Implement and Compare R Data Structures/2. R and Python Data Structures Part 1 Vectors .mp4 57.2 MB
  78. 22. Implement and Compare R Data Structures/3. R and Python Data Structures Part 2 Arrays and Lists .mp4 40.5 MB
  79. 22. Implement and Compare R Data Structures/4. R and Python Data Structures Part 3 Data Frames .mp4 30.8 MB
  80. 22. Implement and Compare R Data Structures/5. Operations and Calculations .mp4 59.3 MB
  81. 22. Implement and Compare R Data Structures/6. Matrix Calculations .mp4 76.2 MB
  82. 22. Implement and Compare R Data Structures/7. Data Exploration .mp4 133.4 MB
  83. 23. Perform EDA with R and Python for Data Science/1. Introduction .mp4 19.1 MB
  84. 23. Perform EDA with R and Python for Data Science/2. Load and Prepare the Dataset (EDA light) .mp4 104.5 MB
  85. 23. Perform EDA with R and Python for Data Science/3. Perform Exploratory Data Analysis (EDA) Part II .mp4 116.1 MB
  86. 23. Perform EDA with R and Python for Data Science/4. Perform Exploratory Data Analysis (EDA) Part I .mp4 76.3 MB
  87. 23. Perform EDA with R and Python for Data Science/5. Challenge .mp4 74.7 MB
  88. 24. Explore AI Language Models and OpenAI's ChatGPT/1. Introduction.mp4 71.6 MB
  89. 24. Explore AI Language Models and OpenAI's ChatGPT/2. What is AI.mp4 131.1 MB
  90. 24. Explore AI Language Models and OpenAI's ChatGPT/3. OpenAI GPT-3 Language Models.mp4 67.4 MB
  91. 24. Explore AI Language Models and OpenAI's ChatGPT/4. What is ChatGPT and How Does it Work Under the Hood.mp4 35.4 MB
  92. 24. Explore AI Language Models and OpenAI's ChatGPT/5. Prompts and Completions.mp4 185.4 MB
  93. 25. Query OpenAI's Language Model API with Google's Colab/1. Introduction.mp4 82.9 MB
  94. 25. Query OpenAI's Language Model API with Google's Colab/2. Bare Bones Completion.mp4 102.6 MB
  95. 25. Query OpenAI's Language Model API with Google's Colab/3. API Authentication.mp4 45.3 MB
  96. 25. Query OpenAI's Language Model API with Google's Colab/4. Creating a Completion.mp4 114.6 MB
  97. 25. Query OpenAI's Language Model API with Google's Colab/5. Time Complexity.mp4 71.8 MB
  98. 25. Query OpenAI's Language Model API with Google's Colab/6. Bonus Use Case White Paper Summarization.mp4 78.8 MB
  99. 26. Create an AI Powered Web App with OpenAI, Streamlit/1. Introduction .mp4 98.3 MB
  100. 26. Create an AI Powered Web App with OpenAI, Streamlit/2. What is Streamlit .mp4 81.2 MB
  101. 26. Create an AI Powered Web App with OpenAI, Streamlit/3. What is Streamlit Community Cloud .mp4 32.3 MB
  102. 26. Create an AI Powered Web App with OpenAI, Streamlit/4. Designing an AI Web App .mp4 78.5 MB
  103. 26. Create an AI Powered Web App with OpenAI, Streamlit/5. HungryBear Non-production Code .mp4 110.6 MB
  104. 26. Create an AI Powered Web App with OpenAI, Streamlit/6. HungryBear Production Code Part 1 .mp4 64.0 MB
  105. 26. Create an AI Powered Web App with OpenAI, Streamlit/7. HungryBear Production Code Part 2 .mp4 133.3 MB
  106. 3. Set Up a Data Science Development Environment/1. Introduction .mp4 37.3 MB
  107. 3. Set Up a Data Science Development Environment/2. Install Anaconda macOS .mp4 64.0 MB
  108. 3. Set Up a Data Science Development Environment/3. Install Anaconda Windows .mp4 29.0 MB
  109. 3. Set Up a Data Science Development Environment/4. Virtual Environments with Conda .mp4 50.6 MB
  110. 3. Set Up a Data Science Development Environment/5. Install Jupyter Notebook .mp4 64.3 MB
  111. 3. Set Up a Data Science Development Environment/6. Starting a Jupyter Notebook and Session .mp4 66.4 MB
  112. 3. Set Up a Data Science Development Environment/7. Closing a Jupyter Notebook Session .mp4 13.6 MB
  113. 3. Set Up a Data Science Development Environment/8. Explore Visual Code for Data Science .mp4 45.9 MB
  114. 4. Explore Python Data Types for Data Science/1. Introduction -3.mp4 24.9 MB
  115. 4. Explore Python Data Types for Data Science/2. Primitive & Non-Primitive Data Types, Part 1 Conda Environment and GitHub .mp4 35.0 MB
  116. 4. Explore Python Data Types for Data Science/3. Primitive & Non-Primitive Data Types, Part 2 Data Types in Jupyter Notebook .mp4 60.9 MB
  117. 4. Explore Python Data Types for Data Science/4. Numbers Integers and Floats .mp4 43.7 MB
  118. 4. Explore Python Data Types for Data Science/5. Text Strings and Bools .mp4 36.7 MB
  119. 4. Explore Python Data Types for Data Science/6. Collections Lists .mp4 43.3 MB
  120. 4. Explore Python Data Types for Data Science/7. Collections Dictionaries .mp4 132.1 MB
  121. 4. Explore Python Data Types for Data Science/8. Collections Tuples, and Sets .mp4 61.6 MB
  122. 5. Explore Strings and Sequences for Data Science/1. Introduction .mp4 44.6 MB
  123. 5. Explore Strings and Sequences for Data Science/2. Working with Variables .mp4 42.7 MB
  124. 5. Explore Strings and Sequences for Data Science/3. Leaving Comments .mp4 31.6 MB
  125. 5. Explore Strings and Sequences for Data Science/4. Working with Strings .mp4 96.0 MB
  126. 5. Explore Strings and Sequences for Data Science/5. String Formatting .mp4 33.7 MB
  127. 5. Explore Strings and Sequences for Data Science/6. Indexing .mp4 52.7 MB
  128. 5. Explore Strings and Sequences for Data Science/7. Slicing .mp4 59.0 MB
  129. 6. Explore Math Operators and LaTex for Data Science/1. Introduction .mp4 32.7 MB
  130. 6. Explore Math Operators and LaTex for Data Science/2. Python and Math .mp4 81.5 MB
  131. 6. Explore Math Operators and LaTex for Data Science/3. Math Operators .mp4 69.1 MB
  132. 6. Explore Math Operators and LaTex for Data Science/4. Boolean Values .mp4 30.7 MB
  133. 6. Explore Math Operators and LaTex for Data Science/5. Built-in Python Functions .mp4 77.6 MB
  134. 6. Explore Math Operators and LaTex for Data Science/6. Scientific Notation .mp4 46.1 MB
  135. 6. Explore Math Operators and LaTex for Data Science/7. LaTex for Equations and Formulas .mp4 59.3 MB
  136. 7. Write Reusable Python Functions for Data Science/1. Introduction .mp4 24.0 MB
  137. 7. Write Reusable Python Functions for Data Science/2. Comparison and Logical Operators .mp4 88.8 MB
  138. 7. Write Reusable Python Functions for Data Science/3. Writing Functions .mp4 74.4 MB
  139. 7. Write Reusable Python Functions for Data Science/4. If statements and Functions .mp4 80.1 MB
  140. 7. Write Reusable Python Functions for Data Science/5. Understanding Functions .mp4 71.3 MB
  141. 7. Write Reusable Python Functions for Data Science/6. Pseudocode .mp4 66.2 MB
  142. 7. Write Reusable Python Functions for Data Science/7. Asking for Input .mp4 67.2 MB
  143. 8. Write Loops to Automate Tasks for Data Science/1. Introduction - Loops to Automate Tasks .mp4 21.1 MB
  144. 8. Write Loops to Automate Tasks for Data Science/2. Functions Review .mp4 81.9 MB
  145. 8. Write Loops to Automate Tasks for Data Science/3. if Statements Part 1 .mp4 123.5 MB
  146. 8. Write Loops to Automate Tasks for Data Science/4. if Statements Part 2 .mp4 88.7 MB
  147. 8. Write Loops to Automate Tasks for Data Science/5. for Loops .mp4 58.4 MB
  148. 8. Write Loops to Automate Tasks for Data Science/6. while Loops .mp4 56.2 MB
  149. 8. Write Loops to Automate Tasks for Data Science/7. Challenge .mp4 112.7 MB
  150. 9. Use Python Built-In Methods for Data Science/1. Introduction Python Built-in Methods .mp4 46.9 MB
  151. 9. Use Python Built-In Methods for Data Science/2. List Review .mp4 107.1 MB
  152. 9. Use Python Built-In Methods for Data Science/3. List Methods .mp4 71.9 MB
  153. 9. Use Python Built-In Methods for Data Science/4. Dictionary Review .mp4 53.5 MB
  154. 9. Use Python Built-In Methods for Data Science/5. Dictionary Methods .mp4 53.5 MB
  155. 9. Use Python Built-In Methods for Data Science/6. Numpy and Pandas .mp4 95.4 MB

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