Steps to become Data -Analyst.

Step 1 :- https://mml-book.github.io/book/mml-book.pdf This is a good book for Linear and Vector algebra.

Step2:- https://numpy.org/doc/stable/user/quickstart.html Introduction to numpy.

Step 3 :- https://colab.research.google.com/notebooks/intro.ipynb Google Collab for your computations and making Models.

Step 4 :- Basics data understanding :- https://statistics.laerd.com/statistical-guides/measures-central-tendency-mean-mode-median.php

Step 5 :- GRAPHS FOR DATA VISUALIZATIONS :-

https://chartio.com/learn/charts/essential-chart-types-for-data-visualization/

Step6 :- UNDERSTANDING RANDOM VARIABLES :-

https://www.khanacademy.org/math/ap-statistics/random-variables-ap

Step 6:- HYPOTHESIS AND STATISTICAL TESTING TO UNDERSTAND WHICH MODEL IS BETTER :-

https://statistics.laerd.com/statistical-guides/hypothesis-testing.php

https://towardsdatascience.com/statistical-tests-when-to-use-which-704557554740

HURRAH!!! You can apply for Data -Analyst, Business Analyst, BI consultant.

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