Closed ghost closed 7 years ago
I'll open with two posts that are kinda related and I'll have more detail as subsequent comments.
In terms of tools i suggest learning R and Python. Not one or the other, but really both.
Pick up tools like Pandas and Dplyr, seaborn and ggplot2. That should get you started just being able to manipulate and visualize data.
While I don't think Kaggle competitions is a good place to learn data science, i believe the kernels are a great place to learn about code.
First I'd recommend Andrew Ng's Coursera Course on Machine Learning.
If I was to recommend one book it would be this it will take you from start to finish.
I'd suggest using DataTau to find interesting articles and also find bloggers that you like to read.
Facebook Analytics suggested these books so I'll pass them along too.
FYI "elements of statistical learning" is available online via UW library
http://www.lib.uwaterloo.ca/find.php?sstring=elements+of+statistical+learning
actually here's a direct link. just click "read this book", then click university of waterloo, then log in.
What do you think is the best way to get started in order to get in to this field? What would you say are the essentials everyone needs in this field?