Not only easy, Python and R are two of the most popular programming languages for data science, analytics, and machine learning. If you are a beginner or just looking to sharpen your skills or deepen your understanding, there are plenty of resources are available to help you master these programming languages. From my personal experience, here are some resources for learning Python and R.
Note: Everything should be free, do not pay unless you want the certificate.
Learn R
The first programming language that I learnt was Python. However, I was asked to switch to R when I join collaborative work with WHO and some Korean Institutions. The good news is… R is much more simpler than python. You can learn it within 2 weeks. Despite the simpleness, R is a powerful statistical computing language widely used in academia, data visualization, and analytics. Here are some of the best resources to learn R:
R for Beginner Documentation:
https://cran.r-project.org/doc/contrib/Paradis-rdebuts_en.pdf
Online Courses for R Programming from Stanford, Harvard, IBM, Google:
https://www.edx.org/search?q=R%20programming
https://www.coursera.org/search?query=R%20programming
Learn Python
When I started, I just watch many Youtube tutorials, one of my favorite channels is:
Online Courses from Google, IBM, Microsoft:
https://www.coursera.org/search?query=python
Learn AI: Machine Learning and Deep Learning
When it comes to Artificial Intelligence (AI), learning Python and R is useful, but understanding the underlying theory, as well as the mathematical and statistical principles, is even more important. Here are some valuable resources to build that foundation.
ML and DL by Stanford Prof Andrew Ng (yes, the most famous one!😁 ): https://www.coursera.org/specializations/machine-learning-introduction
https://www.coursera.org/specializations/deep-learning
Many other valuable courses by field (medicine, NLP, etc):
https://www.coursera.org/partners/deeplearning-ai
Interactive Platform and Real World Example
- Swirl (only R) : https://swirlstats.com/
- DataCamp: https://www.datacamp.com/
- Kaggle: https://www.kaggle.com/
- Codecademy: https://www.codecademy.com/
- Leetcode: https://leetcode.com/
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