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CBT Nuggets - Programming For Data Science
TORRENT SUMMARY
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Programming for Data Science Online Training This intermediate Programming for Data Science training prepares learners to write code that makes sense of unstructured sets from multiple channels and sources and processes information you need, how you need it.
Coding and programming is fundamental to data science. If you want a career in data science, you have to plan on learning at least one or two programming languages, or else prepare yourself for a job hemmed in and restricted by whatever programs you happen to get your hands on.
When you learn programming for data science, you unlock the power of making your data do exactly what you’d like it to do for you. Without programming, your results and findings are dependent on someone else’s program and code — unlock your own future in data science by learning a programming language.
Once you’re done with this Programming for Data Science training, you’ll know how to write code that makes sense of unstructured sets from multiple channels and sources and processes information you need, how you need it.
For anyone who leads an IT team, this Data Science training can be used to onboard new data analysts, curated into individual or team training plans, or as a Data Science reference resource.
Programming for Data Science: What You Need to Know This Programming for Data Science training has videos that cover topics including:
Writing reusable Python functions for data science Writing Python code using object-oriented programming (OOP) Wrangling data with Numpy and Pandas Visualizing data with Matplotlib and Seaborn
Who Should Take Programming for Data Science Training? This Programming for Data Science training is considered associate-level Data Science training, which means it was designed for data analysts and data scientists. This data science skills course is designed for data analysts with three to five years of experience with data science.
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FILE LIST
Filename
Size
1. Explore Data Science Domains and Roles/1. Explore Data Science Domains and Roles .mp4
24.1 MB
1. Explore Data Science Domains and Roles/2. What is Data Science .mp4
95.4 MB
1. Explore Data Science Domains and Roles/3. Data Science Tools .mp4
102.3 MB
1. Explore Data Science Domains and Roles/4. Data Science Development Environments .mp4
83.6 MB
1. Explore Data Science Domains and Roles/5. What is Anaconda .mp4
48.4 MB
1. Explore Data Science Domains and Roles/6. Data Science Roles .mp4
43.4 MB
1. Explore Data Science Domains and Roles/7. The Data Science Roadmap .mp4
61.1 MB
10. Write Code using OOP Concepts for Data Science/1. Introduction .mp4
125.1 MB
10. Write Code using OOP Concepts for Data Science/2. Programming Styles .mp4
123.8 MB
10. Write Code using OOP Concepts for Data Science/3. Python Class Objects .mp4
169.4 MB
10. Write Code using OOP Concepts for Data Science/4. EDA Dimensions .mp4
66.5 MB
10. Write Code using OOP Concepts for Data Science/5. EDA Summary Statistics .mp4
74.5 MB
10. Write Code using OOP Concepts for Data Science/6. EDA Complete with Histograms .mp4
60.2 MB
11. Wrangling Data with Pandas for Data Science/1. Introduction .mp4
75.4 MB
11. Wrangling Data with Pandas for Data Science/2. What is Pandas Part 1 .mp4
79.1 MB
11. Wrangling Data with Pandas for Data Science/3. What is Pandas Part 2 .mp4
71.6 MB
11. Wrangling Data with Pandas for Data Science/4. EDA (Exploratory Data Analysis) .mp4
85.6 MB
11. Wrangling Data with Pandas for Data Science/5. Clean and Manipulate Data .mp4
96.4 MB
11. Wrangling Data with Pandas for Data Science/6. Data Visualization with Pandas (it does that also!) .mp4
103.3 MB
12. Work with Arrays Using Numpy Data Science Library/1. Introduction -3.mp4
99.7 MB
12. Work with Arrays Using Numpy Data Science Library/2. What is Numpy .mp4
52.9 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
63.2 MB
12. Work with Arrays Using Numpy Data Science Library/5. Array Operations, Array Methods and Functions .mp4
67.6 MB
13. Visualizing Data with Matplotlib for Data Science/1. Introduction .mp4
36.1 MB
13. Visualizing Data with Matplotlib for Data Science/2. What is Matplotlib .mp4
161.5 MB
13. Visualizing Data with Matplotlib for Data Science/3. Fields in the dataset from Kaggle .mp4
155.4 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
69.4 MB
14. Visualize Data with Seaborn for Data Science/2. Matplotlib vs Seaborn .mp4
149.4 MB
14. Visualize Data with Seaborn for Data Science/3. Plotting with Seaborn .mp4
92.9 MB
14. Visualize Data with Seaborn for Data Science/4. Customizing Plots .mp4
82.1 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
26.9 MB
15. Explore Web Scraping Fundamentals for Data Science/2. How the Internet Works .mp4
39.2 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
45.7 MB
15. Explore Web Scraping Fundamentals for Data Science/5. CSS .mp4
53.3 MB
15. Explore Web Scraping Fundamentals for Data Science/6. Web Scraping with BeautifulSoup .mp4
148.9 MB
16. Collect Web Data with Python and BeautifulSoup/1. Introduction .mp4
55.1 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
91.8 MB
16. Collect Web Data with Python and BeautifulSoup/4. The find() Method Part 2 .mp4
129.4 MB
16. Collect Web Data with Python and BeautifulSoup/5. The find_all() Method Part 1 .mp4
135.7 MB
16. Collect Web Data with Python and BeautifulSoup/6. The find_all() Method Part 2 .mp4
82.3 MB
17. Use GitHub Repositories for Data Science/1. Introduction -2.mp4
38.4 MB
17. Use GitHub Repositories for Data Science/2. What is Git .mp4
61.2 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
84.8 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
28.9 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
85.2 MB
18. Analyze Core Data Structures for Data Science/3. Python Basic Data Structure Limitations .mp4
124.7 MB
18. Analyze Core Data Structures for Data Science/4. Data Structures Deep Dive .mp4
141.5 MB
18. Analyze Core Data Structures for Data Science/5. Social Network Analysis Use Case .mp4
118.3 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
93.5 MB
19. Evaluate Complexity and Memory for Data Science/3. Algorithm Comparison .mp4
121.9 MB
19. Evaluate Complexity and Memory for Data Science/4. Pandas Data Types .mp4
210.6 MB
2. Access the Command Line for Data Science/1. Introduction .mp4
170.8 MB
2. Access the Command Line for Data Science/2. What is a command-line, terminal, and Shell .mp4
137.4 MB
2. Access the Command Line for Data Science/3. macOS Terminal, Git for Windows, and Linux Emulators .mp4
80.9 MB
2. Access the Command Line for Data Science/4. Basic Linux Commands .mp4
105.6 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
131.8 MB
20. Apply Big O Notation Concepts for Data Science/2. Big O Notation .mp4
57.4 MB
20. Apply Big O Notation Concepts for Data Science/3. Big O Notation and Time Complexity Visualization .mp4
57.1 MB
20. Apply Big O Notation Concepts for Data Science/4. Quadratic time .mp4
38.2 MB
20. Apply Big O Notation Concepts for Data Science/5. Factorial time .mp4
132.6 MB
20. Apply Big O Notation Concepts for Data Science/6. Coffee Shop Complexity .mp4
109.6 MB
21. Explore R Fundamentals for Data Science/1. Introduction -3.mp4
193.7 MB
21. Explore R Fundamentals for Data Science/2. What is R and Why Should I Learn it in 2023 .mp4
167.8 MB
21. Explore R Fundamentals for Data Science/3. Getting Started with R and Google Colab .mp4
176.8 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
117.7 MB
22. Implement and Compare R Data Structures/2. R and Python Data Structures Part 1 Vectors .mp4
57.2 MB
22. Implement and Compare R Data Structures/3. R and Python Data Structures Part 2 Arrays and Lists .mp4
40.5 MB
22. Implement and Compare R Data Structures/4. R and Python Data Structures Part 3 Data Frames .mp4
30.8 MB
22. Implement and Compare R Data Structures/5. Operations and Calculations .mp4
59.3 MB
22. Implement and Compare R Data Structures/6. Matrix Calculations .mp4
76.2 MB
22. Implement and Compare R Data Structures/7. Data Exploration .mp4
133.4 MB
23. Perform EDA with R and Python for Data Science/1. Introduction .mp4
19.1 MB
23. Perform EDA with R and Python for Data Science/2. Load and Prepare the Dataset (EDA light) .mp4
104.5 MB
23. Perform EDA with R and Python for Data Science/3. Perform Exploratory Data Analysis (EDA) Part II .mp4
116.1 MB
23. Perform EDA with R and Python for Data Science/4. Perform Exploratory Data Analysis (EDA) Part I .mp4
76.3 MB
23. Perform EDA with R and Python for Data Science/5. Challenge .mp4
74.7 MB
24. Explore AI Language Models and OpenAI's ChatGPT/1. Introduction.mp4
71.6 MB
24. Explore AI Language Models and OpenAI's ChatGPT/2. What is AI.mp4
131.1 MB
24. Explore AI Language Models and OpenAI's ChatGPT/3. OpenAI GPT-3 Language Models.mp4
67.4 MB
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
24. Explore AI Language Models and OpenAI's ChatGPT/5. Prompts and Completions.mp4
185.4 MB
25. Query OpenAI's Language Model API with Google's Colab/1. Introduction.mp4
82.9 MB
25. Query OpenAI's Language Model API with Google's Colab/2. Bare Bones Completion.mp4
102.6 MB
25. Query OpenAI's Language Model API with Google's Colab/3. API Authentication.mp4
45.3 MB
25. Query OpenAI's Language Model API with Google's Colab/4. Creating a Completion.mp4
114.6 MB
25. Query OpenAI's Language Model API with Google's Colab/5. Time Complexity.mp4
71.8 MB
25. Query OpenAI's Language Model API with Google's Colab/6. Bonus Use Case White Paper Summarization.mp4
78.8 MB
26. Create an AI Powered Web App with OpenAI, Streamlit/1. Introduction .mp4
