Data Science Roadmap 2024 | Data Science Weekly Study Plan | Free Resources to Become Data Scientist
The only roadmap you need to learn data scientist skills in 6 months by spending 4 hours a day. No clickbait, no BS. Only real advice. The previous version of this roadmap has already helped many folks prepare for data scientist skills and get a job. I will discuss all the FREE learning resources, exact week-by-week study plans, assignments, and milestones. This also contains a free assignment tracker where you can track your weekly progress. We will also discuss resume and interview preparation for the data analyst job profile with a free resume and LinkedIn checklist.
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Direct link: https://codebasics.io/resources/data-science-roadmap-2024
Timestamp:
0:00 Intro
1:13 Research and Scam Protection
2:35 Python
5:22 Numpy, Panda, Data Visualization
10:05 Statistics and Math for Data Science
12:44 Exploratory Data Analysis (EDA)
14:54 SQL
18:24 Machine Learning
23:18 Deep Learning
25:24 NLP or Computer Vision
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Python Tutorial - 1. Install python on windows
codebasics
Python Tutorial - 2. Variables
codebasics
Python Tutorial - 3. Numbers
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Python Tutorial - 4. Strings
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Python Tutorial - 5. Lists
codebasics
Python Tutorial - 6. Install PyCharm on Windows
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PyCharm Tutorial - 7. Debug python code using PyCharm
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Python Tutorial - 8. If Statement
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Python Tutorial - 9. For loop
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Python Tutorial - 10. Functions
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Python Tutorial - 11. Dictionaries and Tuples
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Python Tutorial - 12. Modules
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Python Tutorial - 13. Reading/Writing Files
codebasics
How to install Julia on Windows
codebasics
Python Tutorial - 14. Working With JSON
codebasics
Julia Tutorial - 1. Variables
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Julia Tutorial - 2. Numbers
codebasics
Python Tutorial - 15. if __name__ == "__main__"
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Julia Tutorial - Why Should I Learn Julia Programming Language
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Python Tutorial - 16. Exception Handling
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Julia Tutorial - 3. Complex and Rational Numbers
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Julia Tutorial - 4. Strings
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Python Tutorial - 17. Class and Objects
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Julia Tutorial - 5. Functions
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Julia Tutorial - 6. If Statement and Ternary Operator
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Julia Tutorial - 7. For While Loop
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Python Tutorial - 18. Inheritance
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Julia Tutorial - 8. begin and (;) Compound Expressions
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Python Tutorial - 12.1 - Install Python Module (using pip)
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Julia Tutorial - 9. Tasks (a.k.a. Generators or Coroutines)
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Julia Tutorial - 10. Exception Handling
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Python Tutorial - 19. Multiple Inheritance
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Python Tutorial - 20. Raise Exception And Finally
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Python Tutorial - 21. Iterators
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Python Tutorial - 22. Generators
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Python Tutorial - 23. List Set Dict Comprehensions
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Python Tutorial - 24. Sets and Frozen Sets
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Python Tutorial - 25. Command line argument processing using argparse
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Debugging Tips - What is bug and debugging?
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Debugging Tips - Conditional Breakpoint
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Debugging Tips - Watches and Call Stack
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Python Tutorial - 26. Multithreading - Introduction
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Git Tutorial 3: How To Install Git
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Git Tutorial 1: What is git / What is version control system?
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Git Tutorial 2 : What is Github? | github tutorial
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Git Tutorial 4: Basic Commands: add, commit, push
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Git Tutorial 5: Undoing/Reverting/Resetting code changes
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Git Tutorial 6: Branches (Create, Merge, Delete a branch)
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Git Github Tutorial 10: What is Pull Request?
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Git Tutorial 7: What is HEAD?
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Git Tutorial 9: Diff and Merge using meld
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Difference between Multiprocessing and Multithreading
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Python Tutorial - 27. Multiprocessing Introduction
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Python Tutorial - 28. Sharing Data Between Processes Using Array and Value
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Git Tutorial 8 - .gitignore file
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Python Tutorial - 29. Sharing Data Between Processes Using Multiprocessing Queue
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Python Tutorial - 30. Multiprocessing Lock
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Python Tutorial - 31. Multiprocessing Pool (Map Reduce)
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What is code?
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Python unit testing - pytest introduction
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Chapters (10)
Intro
1:13
Research and Scam Protection
2:35
Python
5:22
Numpy, Panda, Data Visualization
10:05
Statistics and Math for Data Science
12:44
Exploratory Data Analysis (EDA)
14:54
SQL
18:24
Machine Learning
23:18
Deep Learning
25:24
NLP or Computer Vision
🎓
Tutor Explanation
DeepCamp AI