CBT Nuggets Programming for Data Science | 00F81955642021CC3F0D7B904E6F1124F462308F

CBT Nuggets Programming for Data Science

Name	CBT Nuggets - Programming for Data Science	DOWNLOAD Copy Link
Total Size	13.2 GB
Total Files	155
Last Seen	2024-12-28 23:49
Hash	00F81955642021CC3F0D7B904E6F1124F462308F

/1. Explore Data Science Domains and Roles/
1. Explore Data Science Domains and Roles .mp4	25.3 MB
2. What is Data Science .mp4	100.0 MB
3. Data Science Tools .mp4	107.3 MB
4. Data Science Development Environments .mp4	87.6 MB
5. What is Anaconda .mp4	50.8 MB
6. Data Science Roles .mp4	45.6 MB
7. The Data Science Roadmap .mp4	64.0 MB
/10. Write Code using OOP Concepts for Data Science/
1. Introduction .mp4	131.2 MB
2. Programming Styles .mp4	129.8 MB
3. Python Class Objects .mp4	177.6 MB
4. EDA Dimensions .mp4	69.7 MB
5. EDA Summary Statistics .mp4	78.1 MB
6. EDA Complete with Histograms .mp4	63.1 MB
/11. Wrangling Data with Pandas for Data Science/
1. Introduction .mp4	79.1 MB
2. What is Pandas Part 1 .mp4	82.9 MB
3. What is Pandas Part 2 .mp4	75.1 MB
4. EDA (Exploratory Data Analysis) .mp4	89.7 MB
5. Clean and Manipulate Data .mp4	101.0 MB
6. Data Visualization with Pandas (it does that also!) .mp4	108.3 MB
/12. Work with Arrays Using Numpy Data Science Library/
1. Introduction -3.mp4	104.6 MB
2. What is Numpy .mp4	55.4 MB
3. Numpy Vs Pandas .mp4	99.6 MB
4. Creating and Manipulating Arrays .mp4	66.2 MB
5. Array Operations, Array Methods and Functions .mp4	70.9 MB
/13. Visualizing Data with Matplotlib for Data Science/
1. Introduction .mp4	37.9 MB
2. What is Matplotlib .mp4	169.3 MB
3. Fields in the dataset from Kaggle .mp4	163.0 MB
4. Customizing Plots .mp4	83.8 MB
/14. Visualize Data with Seaborn for Data Science/
1. Introduction -3.mp4	72.8 MB
2. Matplotlib vs Seaborn .mp4	156.6 MB
3. Plotting with Seaborn .mp4	97.4 MB
4. Customizing Plots .mp4	86.1 MB
5. Real-world Notebook .mp4	23.1 MB
/15. Explore Web Scraping Fundamentals for Data Science/
1. Introduction .mp4	28.2 MB
2. How the Internet Works .mp4	41.1 MB
3. Visual Studio Code .mp4	101.7 MB
4. HTML .mp4	48.0 MB
5. CSS .mp4	55.8 MB
6. Web Scraping with BeautifulSoup .mp4	156.2 MB
/16. Collect Web Data with Python and BeautifulSoup/
1. Introduction .mp4	57.8 MB
2. What is BeautifulSoup .mp4	35.7 MB
3. The find() Method Part 1 .mp4	96.3 MB
4. The find() Method Part 2 .mp4	135.7 MB
5. The find_all() Method Part 1 .mp4	142.3 MB
6. The find_all() Method Part 2 .mp4	86.3 MB
/17. Use GitHub Repositories for Data Science/
1. Introduction -2.mp4	40.2 MB
2. What is Git .mp4	64.1 MB
3. What is GitHub .mp4	65.0 MB
4. Create an Online Repo and Push Your Code to GitHub .mp4	88.9 MB
5. Hosting Datasets for use in Jupyter Notebook .mp4	98.6 MB
6. Challenge .mp4	30.3 MB
/18. Analyze Core Data Structures for Data Science/
1. Introduction .mp4	139.5 MB
2. What are Data Structures .mp4	89.3 MB
3. Python Basic Data Structure Limitations .mp4	130.8 MB
4. Data Structures Deep Dive .mp4	148.4 MB
5. Social Network Analysis Use Case .mp4	124.1 MB
/19. Evaluate Complexity and Memory for Data Science/
1. Introduction - Programming for Data Science CBT Nuggets-3.mp4	151.0 MB
2. Complexity Analysis and Memory .mp4	98.0 MB
3. Algorithm Comparison .mp4	127.8 MB
4. Pandas Data Types .mp4	220.8 MB
/2. Access the Command Line for Data Science/
1. Introduction .mp4	179.1 MB
2. What is a command-line, terminal, and Shell .mp4	144.1 MB
3. macOS Terminal, Git for Windows, and Linux Emulators .mp4	84.9 MB
4. Basic Linux Commands .mp4	110.7 MB
5. Create Projects and Workflows .mp4	87.0 MB
/20. Apply Big O Notation Concepts for Data Science/
1. Introduction .mp4	138.2 MB
2. Big O Notation .mp4	60.2 MB
3. Big O Notation and Time Complexity Visualization .mp4	59.9 MB
4. Quadratic time .mp4	40.1 MB
5. Factorial time .mp4	139.0 MB
6. Coffee Shop Complexity .mp4	114.9 MB
/21. Explore R Fundamentals for Data Science/
1. Introduction -3.mp4	203.1 MB
2. What is R and Why Should I Learn it in 2023 .mp4	176.0 MB
3. Getting Started with R and Google Colab .mp4	185.3 MB
4. R Data Types .mp4	105.9 MB
/22. Implement and Compare R Data Structures/
1. Introduction .mp4	123.4 MB
2. R and Python Data Structures Part 1 Vectors .mp4	60.0 MB
3. R and Python Data Structures Part 2 Arrays and Lists .mp4	42.5 MB
4. R and Python Data Structures Part 3 Data Frames .mp4	32.3 MB
5. Operations and Calculations .mp4	62.2 MB
6. Matrix Calculations .mp4	79.9 MB
7. Data Exploration .mp4	139.9 MB
/23. Perform EDA with R and Python for Data Science/
1. Introduction .mp4	20.1 MB
2. Load and Prepare the Dataset (EDA light) .mp4	109.6 MB
3. Perform Exploratory Data Analysis (EDA) Part II .mp4	121.7 MB
4. Perform Exploratory Data Analysis (EDA) Part I .mp4	80.0 MB
5. Challenge .mp4	78.3 MB
/24. Explore AI Language Models and OpenAI's ChatGPT/
1. Introduction.mp4	75.1 MB
2. What is AI.mp4	137.4 MB
3. OpenAI GPT-3 Language Models.mp4	70.6 MB
4. What is ChatGPT and How Does it Work Under the Hood.mp4	37.1 MB
5. Prompts and Completions.mp4	194.4 MB
/25. Query OpenAI's Language Model API with Google's Colab/
1. Introduction.mp4	86.9 MB
2. Bare Bones Completion.mp4	107.5 MB
3. API Authentication.mp4	47.4 MB
4. Creating a Completion.mp4	120.2 MB
5. Time Complexity.mp4	75.3 MB
6. Bonus Use Case White Paper Summarization.mp4	82.6 MB
/26. Create an AI Powered Web App with OpenAI, Streamlit/
1. Introduction .mp4	103.0 MB
2. What is Streamlit .mp4	85.1 MB
3. What is Streamlit Community Cloud .mp4	33.8 MB
4. Designing an AI Web App .mp4	82.3 MB
5. HungryBear Non-production Code .mp4	115.9 MB
6. HungryBear Production Code Part 1 .mp4	67.1 MB
7. HungryBear Production Code Part 2 .mp4	139.8 MB
/3. Set Up a Data Science Development Environment/
1. Introduction .mp4	39.1 MB
2. Install Anaconda macOS .mp4	67.2 MB
3. Install Anaconda Windows .mp4	30.4 MB
4. Virtual Environments with Conda .mp4	53.0 MB
5. Install Jupyter Notebook .mp4	67.4 MB
6. Starting a Jupyter Notebook and Session .mp4	69.6 MB
7. Closing a Jupyter Notebook Session .mp4	14.2 MB
8. Explore Visual Code for Data Science .mp4	48.1 MB
/4. Explore Python Data Types for Data Science/
1. Introduction -3.mp4	26.1 MB
2. Primitive & Non-Primitive Data Types, Part 1 Conda Environment and GitHub .mp4	36.7 MB
3. Primitive & Non-Primitive Data Types, Part 2 Data Types in Jupyter Notebook .mp4	63.9 MB
4. Numbers Integers and Floats .mp4	45.8 MB
5. Text Strings and Bools .mp4	38.5 MB
6. Collections Lists .mp4	45.4 MB
7. Collections Dictionaries .mp4	138.5 MB
8. Collections Tuples, and Sets .mp4	64.6 MB
/5. Explore Strings and Sequences for Data Science/
1. Introduction .mp4	46.8 MB
2. Working with Variables .mp4	44.8 MB
3. Leaving Comments .mp4	33.2 MB
4. Working with Strings .mp4	100.7 MB
5. String Formatting .mp4	35.3 MB
6. Indexing .mp4	55.3 MB
7. Slicing .mp4	61.8 MB
/6. Explore Math Operators and LaTex for Data Science/
1. Introduction .mp4	34.3 MB
2. Python and Math .mp4	85.5 MB
3. Math Operators .mp4	72.5 MB
4. Boolean Values .mp4	32.2 MB
5. Built-in Python Functions .mp4	81.4 MB
6. Scientific Notation .mp4	48.3 MB
7. LaTex for Equations and Formulas .mp4	62.2 MB
/7. Write Reusable Python Functions for Data Science/
1. Introduction .mp4	25.1 MB
2. Comparison and Logical Operators .mp4	93.1 MB
3. Writing Functions .mp4	78.0 MB
4. If statements and Functions .mp4	84.0 MB
5. Understanding Functions .mp4	74.8 MB
6. Pseudocode .mp4	69.4 MB
7. Asking for Input .mp4	70.4 MB
/8. Write Loops to Automate Tasks for Data Science/
1. Introduction - Loops to Automate Tasks .mp4	22.1 MB
2. Functions Review .mp4	85.9 MB
3. if Statements Part 1 .mp4	129.5 MB
4. if Statements Part 2 .mp4	93.0 MB
5. for Loops .mp4	61.3 MB
6. while Loops .mp4	58.9 MB
7. Challenge .mp4	118.2 MB
/9. Use Python Built-In Methods for Data Science/
1. Introduction Python Built-in Methods .mp4	49.2 MB
2. List Review .mp4	112.3 MB
3. List Methods .mp4	75.4 MB
4. Dictionary Review .mp4	56.1 MB
5. Dictionary Methods .mp4	56.1 MB
6. Numpy and Pandas .mp4	100.1 MB
Total files 155