Programming for Data Science
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- Other > Other
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- 311
- Size:
- 12.4 GiB (13314377609 Bytes)
- Uploaded:
- 2023-05-21 06:45:58 GMT
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-
tuts756
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- Info Hash: 2B8BA6CA9918A9A330555B707A39212E2A191AAA
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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
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| [TutsNode.net] - Programming for Data Science/25. Query OpenAI's Language Model API with Google's Colab/3. API Authentication.mp4 | 45.25 MiB |
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| [TutsNode.net] - Programming for Data Science/5. Explore Strings and Sequences for Data Science/1. Introduction .mp4 | 44.6 MiB |
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| [TutsNode.net] - Programming for Data Science/4. Explore Python Data Types for Data Science/4. Numbers Integers and Floats .mp4 | 43.71 MiB |
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| [TutsNode.net] - Programming for Data Science/1. Explore Data Science Domains and Roles/6. Data Science Roles .mp4 | 43.44 MiB |
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| [TutsNode.net] - Programming for Data Science/4. Explore Python Data Types for Data Science/6. Collections Lists .mp4 | 43.31 MiB |
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| [TutsNode.net] - Programming for Data Science/5. Explore Strings and Sequences for Data Science/2. Working with Variables .mp4 | 42.73 MiB |
| .pad/128 | 1.27 MiB |
| [TutsNode.net] - Programming for Data Science/22. Implement and Compare R Data Structures/3. R and Python Data Structures Part 2 Arrays and Lists .mp4 | 40.55 MiB |
| .pad/129 | 1.45 MiB |
| [TutsNode.net] - Programming for Data Science/15. Explore Web Scraping Fundamentals for Data Science/2. How the Internet Works .mp4 | 39.23 MiB |
| .pad/130 | 785.86 KiB |
| [TutsNode.net] - Programming for Data Science/17. Use GitHub Repositories for Data Science/1. Introduction -2.mp4 | 38.37 MiB |
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| [TutsNode.net] - Programming for Data Science/20. Apply Big O Notation Concepts for Data Science/4. Quadratic time .mp4 | 38.24 MiB |
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| [TutsNode.net] - Programming for Data Science/3. Set Up a Data Science Development Environment/1. Introduction .mp4 | 37.3 MiB |
| .pad/133 | 721.14 KiB |
| [TutsNode.net] - Programming for Data Science/4. Explore Python Data Types for Data Science/5. Text Strings and Bools .mp4 | 36.7 MiB |
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| [TutsNode.net] - Programming for Data Science/13. Visualizing Data with Matplotlib for Data Science/1. Introduction .mp4 | 36.11 MiB |
| .pad/135 | 1.89 MiB |
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| [TutsNode.net] - Programming for Data Science/16. Collect Web Data with Python and BeautifulSoup/2. What is BeautifulSoup .mp4 | 34.03 MiB |
| .pad/138 | 1.97 MiB |
| [TutsNode.net] - Programming for Data Science/5. Explore Strings and Sequences for Data Science/5. String Formatting .mp4 | 33.67 MiB |
| .pad/139 | 341.01 KiB |
| [TutsNode.net] - Programming for Data Science/6. Explore Math Operators and LaTex for Data Science/1. Introduction .mp4 | 32.71 MiB |
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| [TutsNode.net] - Programming for Data Science/22. Implement and Compare R Data Structures/4. R and Python Data Structures Part 3 Data Frames .mp4 | 30.79 MiB |
| .pad/143 | 1.21 MiB |
| [TutsNode.net] - Programming for Data Science/6. Explore Math Operators and LaTex for Data Science/4. Boolean Values .mp4 | 30.75 MiB |
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| [TutsNode.net] - Programming for Data Science/3. Set Up a Data Science Development Environment/3. Install Anaconda Windows .mp4 | 29.03 MiB |
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| [TutsNode.net] - Programming for Data Science/17. Use GitHub Repositories for Data Science/6. Challenge .mp4 | 28.92 MiB |
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| [TutsNode.net] - Programming for Data Science/15. Explore Web Scraping Fundamentals for Data Science/1. Introduction .mp4 | 26.88 MiB |
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| [TutsNode.net] - Programming for Data Science/4. Explore Python Data Types for Data Science/1. Introduction -3.mp4 | 24.85 MiB |
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| [TutsNode.net] - Programming for Data Science/1. Explore Data Science Domains and Roles/1. Explore Data Science Domains and Roles .mp4 | 24.12 MiB |
| .pad/149 | 1.88 MiB |
| [TutsNode.net] - Programming for Data Science/7. Write Reusable Python Functions for Data Science/1. Introduction .mp4 | 23.98 MiB |
| .pad/150 | 19.18 KiB |
| [TutsNode.net] - Programming for Data Science/14. Visualize Data with Seaborn for Data Science/5. Real-world Notebook .mp4 | 22.03 MiB |
| .pad/151 | 1.97 MiB |
| [TutsNode.net] - Programming for Data Science/8. Write Loops to Automate Tasks for Data Science/1. Introduction - Loops to Automate Tasks .mp4 | 21.11 MiB |
| .pad/152 | 907.68 KiB |
| [TutsNode.net] - Programming for Data Science/23. Perform EDA with R and Python for Data Science/1. Introduction .mp4 | 19.12 MiB |
| .pad/153 | 899.25 KiB |
| [TutsNode.net] - Programming for Data Science/3. Set Up a Data Science Development Environment/7. Closing a Jupyter Notebook Session .mp4 | 13.58 MiB |
