Anand S
The basic purpose of my starting this youtube channel is to help students and professionals with non-coding background to smoothly transition to Data Science. I will be covering topics related to R, Python, Tableau, Power BI, SQL, Machine Learning and Deep Learning.
If you are mid-way in your career and want to transition to Data Science, but you are not sure, dont worry you are not alone. There are many people who think in similar lines, I was also one of them.
I used to hate coding 20 years back, but gradually realized that learning to code could help in solving many monotonous and repetitive (boring) tasks. So if you are a student and hate coding, you may realize later (2 years or 5 years later) how essential it is to learn coding.
Welcome to my channel where we will start coding from scratch!
Recursive Functions - Detailed Explanation
What Does Success Mean To Me| Success Gyan| Super Speaker
Easy report sharing by creating a shareable link. Share your Python analysis and visualizations
Descriptive Statistics
Exercise - 10. How to generate different set of cumulative values based on logical conditions
28. All about Python Dataframes
27. All about Dataframes in R
Exercise - 9. b) Combining for-loop and recursive function for solving complex problems
Exercise - 9. a) How to restart a for loop after partial iteration in Python ?
26. Recursive Functions in R and Python
25. Sets in Python
24. What is a Tuple in python ? Is there a tuple in R ?
Exercise - 8. b) How to generate random names in Python ?
Exercise - 8. a) How to generate random names in R ?
Exercise - 7. Functions and Arrays (Vectors)
Exercise - 6. Loops
23. String Manipulation in R and Python
22. Functions in R and Python
21. How to skip an iteration in R and Python?
20. While loop in R and Python
19. Nested for-loop in R and Python
18. For loop in R and Python
17. If and If-else (elif) in R and Python
Exercise - 5. Dictionary
16. Dictionary in R and Python
Exercise - 4. List
15. List in R and Python
How to run R and Python code online ?
Exercise - 3. Date and Time
Exercise - 2. Random Numbers