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MIT Introduction to Deep Learning - 2023 Starting soon! MIT Intro to DL is one of the most concise AI courses on the web that cover basic deep learning techniques, architectures, and applications.

2023 lectures are starting in just one day, Jan 9th!

Link to register:
https://introtodeeplearning.com

MIT Introduction to Deep Learning The 2022 lectures can be found here:

https://m.youtube.com/playlist?list=PLtBw6njQRU-rwp5__7C0oIVt26ZgjG9NI

FREE RESOURCES TO LEARN

🔰 SQL
https://online.stanford.edu/courses/soe-ydatabases0005-databases-relational-databases-and-sql

https://t.iss.one/sqlanalyst/38

🔰 Python
https://cs50.harvard.edu/python/2022/

https://t.iss.one/pythondevelopersindia/4

🔰Statistics and R
https://edx.org/learn/r-programming/harvard-university-statistics-and-r

🔰Data Science: R Basics
https://edx.org/learn/r-programming/harvard-university-data-science-r-basics

🔰 Excel and PowerBI
https://learn.microsoft.com/en-gb/training/paths/modern-analytics/

https://t.iss.one/excel_analyst

🔰Data Science: Visualization
https://edx.org/learn/data-visualization/harvard-university-data-science-visualization

🔰Data Science: Machine Learning
https://edx.org/learn/machine-learning/harvard-university-data-science-machine-learning

🔰 R
https://cognitiveclass.ai/courses/r-101

🔰 Tableau
https://tableau.com/learn/training

🔰 PowerBI
https://learn.microsoft.com/en-us/users/collinschedler-0717/collections/m14nt4rdwnwp04

https://t.iss.one/PowerBI_analyst

🔰Data Science: Productivity Tools
https://edx.org/learn/data-science/harvard-university-data-science-productivity-tools

🔰Data Science: Probability
https://edx.org/learn/probability/harvard-university-data-science-probability

🔰 Mathematics
https://ocw.mit.edu/search/?d=Mathematics&s=department_course_numbers.sort_coursenum

🔰 Statistics
https://cognitiveclass.ai/courses/statistics-101

🔰 Data Visualization
https://pll.harvard.edu/course/data-science-visualization

🔰 Machine Learning
https://developers.google.com/machine-learning/crash-course

🔰 Deep Learning
https://introtodeeplearning.com

https://t.iss.one/machinelearning_deeplearning

🔰Data Science: Linear Regression
https://pll.harvard.edu/course/data-science-linear-regression/2023-10

🔰Data Science: Wrangling
https://edx.org/learn/data-science/harvard-university-data-science-wrangling

🔰 Linear Algebra
https://pll.harvard.edu/course/data-analysis-life-sciences-2-introduction-linear-models-and-matrix-algebra

🔰 Probability
https://pll.harvard.edu/course/data-science-probability

🔰Introduction to Linear Models and Matrix Algebra
https://edx.org/learn/linear-algebra/harvard-university-introduction-to-linear-models-and-matrix-algebra

🔰Data Science: Capstone
https://edx.org/learn/data-science/harvard-university-data-science-capstone

https://t.iss.one/pythonspecialist/55?single

🔰 Data Analysis
https://pll.harvard.edu/course/data-analysis-life-sciences-4-high-dimensional-data-analysis

https://t.iss.one/learndataanalysis

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https://t.iss.one/crackingthecodinginterview/718

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Algorithms 👆

Data Visualization
Kieran Healy, 2019

📌 Practice your coding skills here 👇
1. LeetCode
2. HackerRank
3. CodeSignal
4. CodeChef
5. TopCoder
6. Frontend Mentor
7. freeCodeCamp
8. CodePen
9. GeeksforGeeks
10. W3Schools
11. Scrimba
12. Coderbyte
13. Project Euler
14. SoloLearn
15. Codewars
16. DevChallenges
17. The Odin Project
18. Practice. dev
19. Pluralsight
20. CodeCombat
21. AlgoExpert
22. Programiz
23. Hack The Box
24. Edabit
25. Exercism

Data analyst vs data scientist:

- Data analysts analyse what has happened

- Data scientists try to predict what will happen

- Both use similar tools, but their focus differs.

Visualisation is key for both, but more so for DAs as DS lean towards model building.

SQL vs Python (Joins)