Download Programming for Data Science torrent

Programming for Data Science

Torrent:	Programming for Data Science
Description:	Description 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. New or aspiring data analysts. Brand new data analysts should get started with a course like this that familiarizes them with all the programming language options that are out there. Start your career off with a primer in how analysis becomes more useful and faster with the right coding languages, and get started writing in them. Experienced data analysts. If you’ve been working as a data analyst for several years and haven’t learned a programming language yet, this course can help you understand why it’s important and which one would be the right fit for you. Learning a coding language isn’t as daunting as you might think — try out this course and see how to incorporate programming into your data science. Released 4/2023
Downloads:	117
Category:	Other /Tutorials
Size:	12.4 GB
Show Files »	Programming for Data Science [TutsNode.net] - Programming for Data Science 19. Evaluate Complexity and Memory for Data Science 4. Pandas Data Types .mp4 (210.6 MB) 1. Introduction - Programming for Data Science CBT Nuggets-3.mp4 (144.0 MB) 3. Algorithm Comparison .mp4 (121.9 MB) 2. Complexity Analysis and Memory .mp4 (93.5 MB) 21. Explore R Fundamentals for Data Science 1. Introduction -3.mp4 (193.7 MB) 3. Getting Started with R and Google Colab .mp4 (176.8 MB) 2. What is R and Why Should I Learn it in 2023 .mp4 (167.8 MB) 4. R Data Types .mp4 (101.0 MB) 24. Explore AI Language Models and OpenAI's ChatGPT 5. Prompts and Completions.mp4 (185.4 MB) 2. What is AI.mp4 (131.1 MB) 1. Introduction.mp4 (71.6 MB) 3. OpenAI GPT-3 Language Models.mp4 (67.4 MB) 4. What is ChatGPT and How Does it Work Under the Hood.mp4 (35.4 MB) 2. Access the Command Line for Data Science 1. Introduction .mp4 (170.8 MB) 2. What is a command-line, terminal, and Shell .mp4 (137.4 MB) 4. Basic Linux Commands .mp4 (105.6 MB) 5. Create Projects and Workflows .mp4 (83.0 MB) 3. macOS Terminal, Git for Windows, and Linux Emulators .mp4 (80.9 MB) 10. Write Code using OOP Concepts for Data Science 3. Python Class Objects .mp4 (169.4 MB) 1. Introduction .mp4 (125.1 MB) 2. Programming Styles .mp4 (123.8 MB) 5. EDA Summary Statistics .mp4 (74.5 MB) 4. EDA Dimensions .mp4 (66.5 MB) 6. EDA Complete with Histograms .mp4 (60.2 MB) 13. Visualizing Data with Matplotlib for Data Science 2. What is Matplotlib .mp4 (161.5 MB) 3. Fields in the dataset from Kaggle .mp4 (155.4 MB) 4. Customizing Plots .mp4 (80.0 MB) 1. Introduction .mp4 (36.1 MB) 14. Visualize Data with Seaborn for Data Science 2. Matplotlib vs Seaborn .mp4 (149.4 MB) 3. Plotting with Seaborn .mp4 (92.9 MB) 4. Customizing Plots .mp4 (82.1 MB) 1. Introduction -3.mp4 (69.4 MB) 5. Real-world Notebook .mp4 (22.0 MB) 15. Explore Web Scraping Fundamentals for Data Science 6. Web Scraping with BeautifulSoup .mp4 (148.9 MB) 3. Visual Studio Code .mp4 (97.0 MB) 5. CSS .mp4 (53.3 MB) 4. HTML .mp4 (45.7 MB) 2. How the Internet Works .mp4 (39.2 MB) 1. Introduction .mp4 (26.9 MB) 18. Analyze Core Data Structures for Data Science 4. Data Structures Deep Dive .mp4 (141.5 MB) 1. Introduction .mp4 (133.0 MB) 3. Python Basic Data Structure Limitations .mp4 (124.7 MB) 5. Social Network Analysis Use Case .mp4 (118.3 MB) 2. What are Data Structures .mp4 (85.2 MB) 16. Collect Web Data with Python and BeautifulSoup 5. The find_all() Method Part 1 .mp4 (135.7 MB) 4. The find() Method Part 2 .mp4 (129.4 MB) 3. The find() Method Part 1 .mp4 (91.8 MB) 6. The find_all() Method Part 2 .mp4 (82.3 MB) 1. Introduction .mp4 (55.1 MB) 2. What is BeautifulSoup .mp4 (34.0 MB) 22. Implement and Compare R Data Structures 7. Data Exploration .mp4 (133.4 MB) 1. Introduction .mp4 (117.7 MB) 6. Matrix Calculations .mp4 (76.2 MB) 5. Operations and Calculations .mp4 (59.3 MB) 2. R and Python Data Structures Part 1 Vectors .mp4 (57.2 MB) 3. R and Python Data Structures Part 2 Arrays and Lists .mp4 (40.5 MB) 4. R and Python Data Structures Part 3 Data Frames .mp4 (30.8 MB) 26. Create an AI Powered Web App with OpenAI, Streamlit 7. HungryBear Production Code Part 2 .mp4 (133.3 MB) 5. HungryBear Non-production Code .mp4 (110.6 MB) 1. Introduction .mp4 (98.3 MB) 2. What is Streamlit .mp4 (81.2 MB) 4. Designing an AI Web App .mp4 (78.5 MB) 6. HungryBear Production Code Part 1 .mp4 (64.0 MB) 3. What is Streamlit Community Cloud .mp4 (32.3 MB) 20. Apply Big O Notation Concepts for Data Science 5. Factorial time .mp4 (132.6 MB) 1. Introduction .mp4 (131.8 MB) 6. Coffee Shop Complexity .mp4 (109.6 MB) 2. Big O Notation .mp4 (57.4 MB) 3. Big O Notation and Time Complexity Visualization .mp4 (57.1 MB) 4. Quadratic time .mp4 (38.2 MB) 4. Explore Python Data Types for Data Science 7. Collections Dictionaries .mp4 (132.1 MB) 8. Collections Tuples, and Sets .mp4 (61.6 MB) 3. Primitive & Non-Primitive Data Types, Part 2 Data Types in Jupyter Notebook .mp4 (60.9 MB) 4. Numbers Integers and Floats .mp4 (43.7 MB) 6. Collections Lists .mp4 (43.3 MB) 5. Text Strings and Bools .mp4 (36.7 MB) 2. Primitive & Non-Primitive Data Types, Part 1 Conda Environment and GitHub .mp4 (35.0 MB) 1. Introduction -3.mp4 (24.9 MB) 8. Write Loops to Automate Tasks for Data Science 3. if Statements Part 1 .mp4 (123.5 MB) 7. Challenge .mp4 (112.7 MB) 4. if Statements Part 2 .mp4 (88.7 MB) 2. Functions Review .mp4 (81.9 MB) 5. for Loops .mp4 (58.4 MB) 6. while Loops .mp4 (56.2 MB) 1. Introduction - Loops to Automate Tasks .mp4 (21.1 MB) 23. Perform EDA with R and Python for Data Science 3. Perform Exploratory Data Analysis (EDA) Part II .mp4 (116.1 MB) 2. Load and Prepare the Dataset (EDA light) .mp4 (104.5 MB) 4. Perform Exploratory Data Analysis (EDA) Part I .mp4 (76.3 MB) 5. Challenge .mp4 (74.7 MB) 1. Introduction .mp4 (19.1 MB) 25. Query OpenAI's Language Model API with Google's Colab 4. Creating a Completion.mp4 (114.6 MB) 2. Bare Bone files
Added:	2023-05-21 12:11:48
Language:	English
Peers:	Seeders : 77 , Leechers : 72
Release name:	Programming for Data Science
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