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CBT Nuggets - Programming for Data Science

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Title: CBT NuggetsGroup: NOGRPSource: CBT.Nuggets
Info Hash
00F81955642021CC3F0D7B904E6F1124F462308F
Source
Unverified
Total Size
12.25 GB
Total Files
100
Seeders
6
Leechers
1
Health
3.00
Score
13
Type
Bookware

File List

FileSize
1. Explore Data Science Domains and Roles/1. Explore Data Science Domains and Roles .mp424.12 MB
1. Explore Data Science Domains and Roles/2. What is Data Science .mp495.39 MB
1. Explore Data Science Domains and Roles/3. Data Science Tools .mp4102.34 MB
1. Explore Data Science Domains and Roles/4. Data Science Development Environments .mp483.58 MB
1. Explore Data Science Domains and Roles/5. What is Anaconda .mp448.42 MB
1. Explore Data Science Domains and Roles/6. Data Science Roles .mp443.44 MB
1. Explore Data Science Domains and Roles/7. The Data Science Roadmap .mp461.05 MB
10. Write Code using OOP Concepts for Data Science/1. Introduction .mp4125.08 MB
10. Write Code using OOP Concepts for Data Science/2. Programming Styles .mp4123.81 MB
10. Write Code using OOP Concepts for Data Science/3. Python Class Objects .mp4169.35 MB
10. Write Code using OOP Concepts for Data Science/4. EDA Dimensions .mp466.48 MB
10. Write Code using OOP Concepts for Data Science/5. EDA Summary Statistics .mp474.5 MB
10. Write Code using OOP Concepts for Data Science/6. EDA Complete with Histograms .mp460.17 MB
11. Wrangling Data with Pandas for Data Science/1. Introduction .mp475.41 MB
11. Wrangling Data with Pandas for Data Science/2. What is Pandas Part 1 .mp479.08 MB
11. Wrangling Data with Pandas for Data Science/3. What is Pandas Part 2 .mp471.63 MB
11. Wrangling Data with Pandas for Data Science/4. EDA (Exploratory Data Analysis) .mp485.57 MB
11. Wrangling Data with Pandas for Data Science/5. Clean and Manipulate Data .mp496.36 MB
11. Wrangling Data with Pandas for Data Science/6. Data Visualization with Pandas (it does that also!) .mp4103.29 MB
12. Work with Arrays Using Numpy Data Science Library/1. Introduction -3.mp499.73 MB
12. Work with Arrays Using Numpy Data Science Library/2. What is Numpy .mp452.86 MB
12. Work with Arrays Using Numpy Data Science Library/3. Numpy Vs Pandas .mp494.97 MB
12. Work with Arrays Using Numpy Data Science Library/4. Creating and Manipulating Arrays .mp463.17 MB
12. Work with Arrays Using Numpy Data Science Library/5. Array Operations, Array Methods and Functions .mp467.58 MB
13. Visualizing Data with Matplotlib for Data Science/1. Introduction .mp436.11 MB
13. Visualizing Data with Matplotlib for Data Science/2. What is Matplotlib .mp4161.46 MB
13. Visualizing Data with Matplotlib for Data Science/3. Fields in the dataset from Kaggle .mp4155.4 MB
13. Visualizing Data with Matplotlib for Data Science/4. Customizing Plots .mp479.96 MB
14. Visualize Data with Seaborn for Data Science/1. Introduction -3.mp469.41 MB
14. Visualize Data with Seaborn for Data Science/2. Matplotlib vs Seaborn .mp4149.37 MB
14. Visualize Data with Seaborn for Data Science/3. Plotting with Seaborn .mp492.89 MB
14. Visualize Data with Seaborn for Data Science/4. Customizing Plots .mp482.13 MB
14. Visualize Data with Seaborn for Data Science/5. Real-world Notebook .mp422.03 MB
15. Explore Web Scraping Fundamentals for Data Science/1. Introduction .mp426.88 MB
15. Explore Web Scraping Fundamentals for Data Science/2. How the Internet Works .mp439.23 MB
15. Explore Web Scraping Fundamentals for Data Science/3. Visual Studio Code .mp496.97 MB
15. Explore Web Scraping Fundamentals for Data Science/4. HTML .mp445.74 MB
15. Explore Web Scraping Fundamentals for Data Science/5. CSS .mp453.26 MB
15. Explore Web Scraping Fundamentals for Data Science/6. Web Scraping with BeautifulSoup .mp4148.94 MB
16. Collect Web Data with Python and BeautifulSoup/1. Introduction .mp455.1 MB
16. Collect Web Data with Python and BeautifulSoup/2. What is BeautifulSoup .mp434.03 MB
16. Collect Web Data with Python and BeautifulSoup/3. The find() Method Part 1 .mp491.83 MB
16. Collect Web Data with Python and BeautifulSoup/4. The find() Method Part 2 .mp4129.45 MB
16. Collect Web Data with Python and BeautifulSoup/5. The find_all() Method Part 1 .mp4135.68 MB
16. Collect Web Data with Python and BeautifulSoup/6. The find_all() Method Part 2 .mp482.26 MB
17. Use GitHub Repositories for Data Science/1. Introduction -2.mp438.37 MB
17. Use GitHub Repositories for Data Science/2. What is Git .mp461.15 MB
17. Use GitHub Repositories for Data Science/3. What is GitHub .mp462.01 MB
17. Use GitHub Repositories for Data Science/4. Create an Online Repo and Push Your Code to GitHub .mp484.79 MB
17. Use GitHub Repositories for Data Science/5. Hosting Datasets for use in Jupyter Notebook .mp494.05 MB
17. Use GitHub Repositories for Data Science/6. Challenge .mp428.92 MB
18. Analyze Core Data Structures for Data Science/1. Introduction .mp4133 MB
18. Analyze Core Data Structures for Data Science/2. What are Data Structures .mp485.17 MB
18. Analyze Core Data Structures for Data Science/3. Python Basic Data Structure Limitations .mp4124.69 MB
18. Analyze Core Data Structures for Data Science/4. Data Structures Deep Dive .mp4141.53 MB
18. Analyze Core Data Structures for Data Science/5. Social Network Analysis Use Case .mp4118.33 MB
19. Evaluate Complexity and Memory for Data Science/1. Introduction - Programming for Data Science CBT Nuggets-3.mp4144 MB
19. Evaluate Complexity and Memory for Data Science/2. Complexity Analysis and Memory .mp493.48 MB
19. Evaluate Complexity and Memory for Data Science/3. Algorithm Comparison .mp4121.9 MB
19. Evaluate Complexity and Memory for Data Science/4. Pandas Data Types .mp4210.61 MB
2. Access the Command Line for Data Science/1. Introduction .mp4170.83 MB
2. Access the Command Line for Data Science/2. What is a command-line, terminal, and Shell .mp4137.41 MB
2. Access the Command Line for Data Science/3. macOS Terminal, Git for Windows, and Linux Emulators .mp480.92 MB
2. Access the Command Line for Data Science/4. Basic Linux Commands .mp4105.55 MB
2. Access the Command Line for Data Science/5. Create Projects and Workflows .mp482.95 MB
20. Apply Big O Notation Concepts for Data Science/1. Introduction .mp4131.78 MB
20. Apply Big O Notation Concepts for Data Science/2. Big O Notation .mp457.39 MB
20. Apply Big O Notation Concepts for Data Science/3. Big O Notation and Time Complexity Visualization .mp457.09 MB
20. Apply Big O Notation Concepts for Data Science/4. Quadratic time .mp438.24 MB
20. Apply Big O Notation Concepts for Data Science/5. Factorial time .mp4132.61 MB
20. Apply Big O Notation Concepts for Data Science/6. Coffee Shop Complexity .mp4109.62 MB
21. Explore R Fundamentals for Data Science/1. Introduction -3.mp4193.71 MB
21. Explore R Fundamentals for Data Science/2. What is R and Why Should I Learn it in 2023 .mp4167.8 MB
21. Explore R Fundamentals for Data Science/3. Getting Started with R and Google Colab .mp4176.75 MB
21. Explore R Fundamentals for Data Science/4. R Data Types .mp4101 MB
22. Implement and Compare R Data Structures/1. Introduction .mp4117.68 MB
22. Implement and Compare R Data Structures/2. R and Python Data Structures Part 1 Vectors .mp457.24 MB
22. Implement and Compare R Data Structures/3. R and Python Data Structures Part 2 Arrays and Lists .mp440.55 MB
22. Implement and Compare R Data Structures/4. R and Python Data Structures Part 3 Data Frames .mp430.79 MB
22. Implement and Compare R Data Structures/5. Operations and Calculations .mp459.29 MB
22. Implement and Compare R Data Structures/6. Matrix Calculations .mp476.17 MB
22. Implement and Compare R Data Structures/7. Data Exploration .mp4133.38 MB
23. Perform EDA with R and Python for Data Science/1. Introduction .mp419.12 MB
23. Perform EDA with R and Python for Data Science/2. Load and Prepare the Dataset (EDA light) .mp4104.48 MB
23. Perform EDA with R and Python for Data Science/3. Perform Exploratory Data Analysis (EDA) Part II .mp4116.08 MB
23. Perform EDA with R and Python for Data Science/4. Perform Exploratory Data Analysis (EDA) Part I .mp476.31 MB
23. Perform EDA with R and Python for Data Science/5. Challenge .mp474.7 MB
24. Explore AI Language Models and OpenAI's ChatGPT/1. Introduction.mp471.61 MB
24. Explore AI Language Models and OpenAI's ChatGPT/2. What is AI.mp4131.06 MB
24. Explore AI Language Models and OpenAI's ChatGPT/3. OpenAI GPT-3 Language Models.mp467.36 MB
24. Explore AI Language Models and OpenAI's ChatGPT/4. What is ChatGPT and How Does it Work Under the Hood.mp435.38 MB
24. Explore AI Language Models and OpenAI's ChatGPT/5. Prompts and Completions.mp4185.37 MB
25. Query OpenAI's Language Model API with Google's Colab/1. Introduction.mp482.88 MB
25. Query OpenAI's Language Model API with Google's Colab/2. Bare Bones Completion.mp4102.56 MB
25. Query OpenAI's Language Model API with Google's Colab/3. API Authentication.mp445.25 MB
25. Query OpenAI's Language Model API with Google's Colab/4. Creating a Completion.mp4114.59 MB
25. Query OpenAI's Language Model API with Google's Colab/5. Time Complexity.mp471.82 MB
25. Query OpenAI's Language Model API with Google's Colab/6. Bonus Use Case White Paper Summarization.mp478.8 MB
26. Create an AI Powered Web App with OpenAI, Streamlit/1. Introduction .mp498.27 MB
26. Create an AI Powered Web App with OpenAI, Streamlit/2. What is Streamlit .mp481.15 MB

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