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CBT Nuggets - Programming for Data Science

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File Name
Size
1. Explore Data Science Domains and Roles/1. Explore Data Science Domains and Roles .mp4
24 MB
1. Explore Data Science Domains and Roles/2. What is Data Science .mp4
95 MB
1. Explore Data Science Domains and Roles/3. Data Science Tools .mp4
102 MB
1. Explore Data Science Domains and Roles/4. Data Science Development Environments .mp4
84 MB
1. Explore Data Science Domains and Roles/5. What is Anaconda .mp4
48 MB
1. Explore Data Science Domains and Roles/6. Data Science Roles .mp4
43 MB
1. Explore Data Science Domains and Roles/7. The Data Science Roadmap .mp4
61 MB
10. Write Code using OOP Concepts for Data Science/1. Introduction .mp4
125 MB
10. Write Code using OOP Concepts for Data Science/2. Programming Styles .mp4
124 MB
10. Write Code using OOP Concepts for Data Science/3. Python Class Objects .mp4
169 MB
10. Write Code using OOP Concepts for Data Science/4. EDA Dimensions .mp4
66 MB
10. Write Code using OOP Concepts for Data Science/5. EDA Summary Statistics .mp4
74 MB
10. Write Code using OOP Concepts for Data Science/6. EDA Complete with Histograms .mp4
60 MB
11. Wrangling Data with Pandas for Data Science/1. Introduction .mp4
75 MB
11. Wrangling Data with Pandas for Data Science/2. What is Pandas Part 1 .mp4
79 MB
11. Wrangling Data with Pandas for Data Science/3. What is Pandas Part 2 .mp4
72 MB
11. Wrangling Data with Pandas for Data Science/4. EDA (Exploratory Data Analysis) .mp4
86 MB
11. Wrangling Data with Pandas for Data Science/5. Clean and Manipulate Data .mp4
96 MB
11. Wrangling Data with Pandas for Data Science/6. Data Visualization with Pandas (it does that also!) .mp4
103 MB
12. Work with Arrays Using Numpy Data Science Library/1. Introduction -3.mp4
100 MB
12. Work with Arrays Using Numpy Data Science Library/2. What is Numpy .mp4
53 MB
12. Work with Arrays Using Numpy Data Science Library/3. Numpy Vs Pandas .mp4
95 MB
12. Work with Arrays Using Numpy Data Science Library/4. Creating and Manipulating Arrays .mp4
63 MB
12. Work with Arrays Using Numpy Data Science Library/5. Array Operations, Array Methods and Functions .mp4
68 MB
13. Visualizing Data with Matplotlib for Data Science/1. Introduction .mp4
36 MB
13. Visualizing Data with Matplotlib for Data Science/2. What is Matplotlib .mp4
162 MB
13. Visualizing Data with Matplotlib for Data Science/3. Fields in the dataset from Kaggle .mp4
155 MB
13. Visualizing Data with Matplotlib for Data Science/4. Customizing Plots .mp4
80 MB
14. Visualize Data with Seaborn for Data Science/1. Introduction -3.mp4
69 MB
14. Visualize Data with Seaborn for Data Science/2. Matplotlib vs Seaborn .mp4
149 MB
14. Visualize Data with Seaborn for Data Science/3. Plotting with Seaborn .mp4
93 MB
14. Visualize Data with Seaborn for Data Science/4. Customizing Plots .mp4
82 MB
14. Visualize Data with Seaborn for Data Science/5. Real-world Notebook .mp4
22 MB
15. Explore Web Scraping Fundamentals for Data Science/1. Introduction .mp4
27 MB
15. Explore Web Scraping Fundamentals for Data Science/2. How the Internet Works .mp4
39 MB
15. Explore Web Scraping Fundamentals for Data Science/3. Visual Studio Code .mp4
97 MB
15. Explore Web Scraping Fundamentals for Data Science/4. HTML .mp4
46 MB
15. Explore Web Scraping Fundamentals for Data Science/5. CSS .mp4
53 MB
15. Explore Web Scraping Fundamentals for Data Science/6. Web Scraping with BeautifulSoup .mp4
149 MB
16. Collect Web Data with Python and BeautifulSoup/1. Introduction .mp4
55 MB
16. Collect Web Data with Python and BeautifulSoup/2. What is BeautifulSoup .mp4
34 MB
16. Collect Web Data with Python and BeautifulSoup/3. The find() Method Part 1 .mp4
92 MB
16. Collect Web Data with Python and BeautifulSoup/4. The find() Method Part 2 .mp4
129 MB
16. Collect Web Data with Python and BeautifulSoup/5. The find_all() Method Part 1 .mp4
136 MB
16. Collect Web Data with Python and BeautifulSoup/6. The find_all() Method Part 2 .mp4
82 MB
17. Use GitHub Repositories for Data Science/1. Introduction -2.mp4
38 MB
17. Use GitHub Repositories for Data Science/2. What is Git .mp4
61 MB
17. Use GitHub Repositories for Data Science/3. What is GitHub .mp4
62 MB
17. Use GitHub Repositories for Data Science/4. Create an Online Repo and Push Your Code to GitHub .mp4
85 MB
17. Use GitHub Repositories for Data Science/5. Hosting Datasets for use in Jupyter Notebook .mp4
94 MB
17. Use GitHub Repositories for Data Science/6. Challenge .mp4
29 MB
18. Analyze Core Data Structures for Data Science/1. Introduction .mp4
133 MB
18. Analyze Core Data Structures for Data Science/2. What are Data Structures .mp4
85 MB
18. Analyze Core Data Structures for Data Science/3. Python Basic Data Structure Limitations .mp4
125 MB
18. Analyze Core Data Structures for Data Science/4. Data Structures Deep Dive .mp4
142 MB
18. Analyze Core Data Structures for Data Science/5. Social Network Analysis Use Case .mp4
118 MB
19. Evaluate Complexity and Memory for Data Science/1. Introduction - Programming for Data Science CBT Nuggets-3.mp4
144 MB
19. Evaluate Complexity and Memory for Data Science/2. Complexity Analysis and Memory .mp4
94 MB
19. Evaluate Complexity and Memory for Data Science/3. Algorithm Comparison .mp4
122 MB
19. Evaluate Complexity and Memory for Data Science/4. Pandas Data Types .mp4
211 MB
2. Access the Command Line for Data Science/1. Introduction .mp4
171 MB
2. Access the Command Line for Data Science/2. What is a command-line, terminal, and Shell .mp4
137 MB
2. Access the Command Line for Data Science/3. macOS Terminal, Git for Windows, and Linux Emulators .mp4
81 MB
2. Access the Command Line for Data Science/4. Basic Linux Commands .mp4
106 MB
2. Access the Command Line for Data Science/5. Create Projects and Workflows .mp4
83 MB
20. Apply Big O Notation Concepts for Data Science/1. Introduction .mp4
132 MB
20. Apply Big O Notation Concepts for Data Science/2. Big O Notation .mp4
57 MB
20. Apply Big O Notation Concepts for Data Science/3. Big O Notation and Time Complexity Visualization .mp4
57 MB
20. Apply Big O Notation Concepts for Data Science/4. Quadratic time .mp4
38 MB
20. Apply Big O Notation Concepts for Data Science/5. Factorial time .mp4
133 MB
20. Apply Big O Notation Concepts for Data Science/6. Coffee Shop Complexity .mp4
110 MB
21. Explore R Fundamentals for Data Science/1. Introduction -3.mp4
194 MB
21. Explore R Fundamentals for Data Science/2. What is R and Why Should I Learn it in 2023 .mp4
168 MB
21. Explore R Fundamentals for Data Science/3. Getting Started with R and Google Colab .mp4
177 MB
21. Explore R Fundamentals for Data Science/4. R Data Types .mp4
101 MB
22. Implement and Compare R Data Structures/1. Introduction .mp4
118 MB
22. Implement and Compare R Data Structures/2. R and Python Data Structures Part 1 Vectors .mp4
57 MB
22. Implement and Compare R Data Structures/3. R and Python Data Structures Part 2 Arrays and Lists .mp4
40 MB
22. Implement and Compare R Data Structures/4. R and Python Data Structures Part 3 Data Frames .mp4
31 MB
22. Implement and Compare R Data Structures/5. Operations and Calculations .mp4
59 MB
22. Implement and Compare R Data Structures/6. Matrix Calculations .mp4
76 MB
22. Implement and Compare R Data Structures/7. Data Exploration .mp4
133 MB
23. Perform EDA with R and Python for Data Science/1. Introduction .mp4
19 MB
23. Perform EDA with R and Python for Data Science/2. Load and Prepare the Dataset (EDA light) .mp4
104 MB
23. Perform EDA with R and Python for Data Science/3. Perform Exploratory Data Analysis (EDA) Part II .mp4
116 MB
23. Perform EDA with R and Python for Data Science/4. Perform Exploratory Data Analysis (EDA) Part I .mp4
76 MB
23. Perform EDA with R and Python for Data Science/5. Challenge .mp4
75 MB
24. Explore AI Language Models and OpenAI's ChatGPT/1. Introduction.mp4
72 MB
24. Explore AI Language Models and OpenAI's ChatGPT/2. What is AI.mp4
131 MB
24. Explore AI Language Models and OpenAI's ChatGPT/3. OpenAI GPT-3 Language Models.mp4
67 MB
24. Explore AI Language Models and OpenAI's ChatGPT/4. What is ChatGPT and How Does it Work Under the Hood.mp4
35 MB
24. Explore AI Language Models and OpenAI's ChatGPT/5. Prompts and Completions.mp4
185 MB
25. Query OpenAI's Language Model API with Google's Colab/1. Introduction.mp4
83 MB
25. Query OpenAI's Language Model API with Google's Colab/2. Bare Bones Completion.mp4
103 MB
25. Query OpenAI's Language Model API with Google's Colab/3. API Authentication.mp4
45 MB
25. Query OpenAI's Language Model API with Google's Colab/4. Creating a Completion.mp4
115 MB
25. Query OpenAI's Language Model API with Google's Colab/5. Time Complexity.mp4
72 MB
25. Query OpenAI's Language Model API with Google's Colab/6. Bonus Use Case White Paper Summarization.mp4
79 MB
26. Create an AI Powered Web App with OpenAI, Streamlit/1. Introduction .mp4
98 MB
26. Create an AI Powered Web App with OpenAI, Streamlit/2. What is Streamlit .mp4
81 MB
26. Create an AI Powered Web App with OpenAI, Streamlit/3. What is Streamlit Community Cloud .mp4
32 MB
26. Create an AI Powered Web App with OpenAI, Streamlit/4. Designing an AI Web App .mp4
78 MB
26. Create an AI Powered Web App with OpenAI, Streamlit/5. HungryBear Non-production Code .mp4
111 MB
26. Create an AI Powered Web App with OpenAI, Streamlit/6. HungryBear Production Code Part 1 .mp4
64 MB
26. Create an AI Powered Web App with OpenAI, Streamlit/7. HungryBear Production Code Part 2 .mp4
133 MB
3. Set Up a Data Science Development Environment/1. Introduction .mp4
37 MB
3. Set Up a Data Science Development Environment/2. Install Anaconda macOS .mp4
64 MB
3. Set Up a Data Science Development Environment/3. Install Anaconda Windows .mp4
29 MB
3. Set Up a Data Science Development Environment/4. Virtual Environments with Conda .mp4
51 MB
3. Set Up a Data Science Development Environment/5. Install Jupyter Notebook .mp4
64 MB
3. Set Up a Data Science Development Environment/6. Starting a Jupyter Notebook and Session .mp4
66 MB
3. Set Up a Data Science Development Environment/7. Closing a Jupyter Notebook Session .mp4
14 MB
3. Set Up a Data Science Development Environment/8. Explore Visual Code for Data Science .mp4
46 MB
4. Explore Python Data Types for Data Science/1. Introduction -3.mp4
25 MB
4. Explore Python Data Types for Data Science/2. Primitive & Non-Primitive Data Types, Part 1 Conda Environment and GitHub .mp4
35 MB
4. Explore Python Data Types for Data Science/3. Primitive & Non-Primitive Data Types, Part 2 Data Types in Jupyter Notebook .mp4
61 MB
4. Explore Python Data Types for Data Science/4. Numbers Integers and Floats .mp4
44 MB
4. Explore Python Data Types for Data Science/5. Text Strings and Bools .mp4
37 MB
4. Explore Python Data Types for Data Science/6. Collections Lists .mp4
43 MB
4. Explore Python Data Types for Data Science/7. Collections Dictionaries .mp4
132 MB
4. Explore Python Data Types for Data Science/8. Collections Tuples, and Sets .mp4
62 MB
5. Explore Strings and Sequences for Data Science/1. Introduction .mp4
45 MB
5. Explore Strings and Sequences for Data Science/2. Working with Variables .mp4
43 MB
5. Explore Strings and Sequences for Data Science/3. Leaving Comments .mp4
32 MB
5. Explore Strings and Sequences for Data Science/4. Working with Strings .mp4
96 MB
5. Explore Strings and Sequences for Data Science/5. String Formatting .mp4
34 MB
5. Explore Strings and Sequences for Data Science/6. Indexing .mp4
53 MB
5. Explore Strings and Sequences for Data Science/7. Slicing .mp4
59 MB
6. Explore Math Operators and LaTex for Data Science/1. Introduction .mp4
33 MB
6. Explore Math Operators and LaTex for Data Science/2. Python and Math .mp4
82 MB
6. Explore Math Operators and LaTex for Data Science/3. Math Operators .mp4
69 MB
6. Explore Math Operators and LaTex for Data Science/4. Boolean Values .mp4
31 MB
6. Explore Math Operators and LaTex for Data Science/5. Built-in Python Functions .mp4
78 MB
6. Explore Math Operators and LaTex for Data Science/6. Scientific Notation .mp4
46 MB
6. Explore Math Operators and LaTex for Data Science/7. LaTex for Equations and Formulas .mp4
59 MB
7. Write Reusable Python Functions for Data Science/1. Introduction .mp4
24 MB
7. Write Reusable Python Functions for Data Science/2. Comparison and Logical Operators .mp4
89 MB
7. Write Reusable Python Functions for Data Science/3. Writing Functions .mp4
74 MB
7. Write Reusable Python Functions for Data Science/4. If statements and Functions .mp4
80 MB
7. Write Reusable Python Functions for Data Science/5. Understanding Functions .mp4
71 MB
7. Write Reusable Python Functions for Data Science/6. Pseudocode .mp4
66 MB
7. Write Reusable Python Functions for Data Science/7. Asking for Input .mp4
67 MB
8. Write Loops to Automate Tasks for Data Science/1. Introduction - Loops to Automate Tasks .mp4
21 MB
8. Write Loops to Automate Tasks for Data Science/2. Functions Review .mp4
82 MB
8. Write Loops to Automate Tasks for Data Science/3. if Statements Part 1 .mp4
124 MB
8. Write Loops to Automate Tasks for Data Science/4. if Statements Part 2 .mp4
89 MB
8. Write Loops to Automate Tasks for Data Science/5. for Loops .mp4
58 MB
8. Write Loops to Automate Tasks for Data Science/6. while Loops .mp4
56 MB
8. Write Loops to Automate Tasks for Data Science/7. Challenge .mp4
113 MB
9. Use Python Built-In Methods for Data Science/1. Introduction Python Built-in Methods .mp4
47 MB
9. Use Python Built-In Methods for Data Science/2. List Review .mp4
107 MB
9. Use Python Built-In Methods for Data Science/3. List Methods .mp4
72 MB
9. Use Python Built-In Methods for Data Science/4. Dictionary Review .mp4
54 MB
9. Use Python Built-In Methods for Data Science/5. Dictionary Methods .mp4
54 MB
9. Use Python Built-In Methods for Data Science/6. Numpy and Pandas .mp4
95 MB