The introductory material for bioinformatics and data science are similar. Here's some suggestions from the DS path. Kaggle Learn has excellent and free tutorials on Python, data science & ML (https://www.kaggle.com/). The Swirl package teaches you R and statistics from inside the R console (https://swirlstats.com/). R for Data Analysis (https://r4ds.hadley.nz/) and Python for Data Analysis (https://wesmckinney.com/book/) are top notch and free.
Thank you so much for all these resources. As a beginner, I was overwhelmed by the amount available online but this helped me a lot. Thank you so much.😊
The introductory material for bioinformatics and data science are similar. Here's some suggestions from the DS path. Kaggle Learn has excellent and free tutorials on Python, data science & ML (https://www.kaggle.com/). The Swirl package teaches you R and statistics from inside the R console (https://swirlstats.com/). R for Data Analysis (https://r4ds.hadley.nz/) and Python for Data Analysis (https://wesmckinney.com/book/) are top notch and free.
Yes, there is quite a lot of overlap. Thank you for sharing the extra recommendations!
Thank you so much for all these resources. As a beginner, I was overwhelmed by the amount available online but this helped me a lot. Thank you so much.😊