Learn to code

Read An Introduction to Statistical Learning by Gareth James. The accessible book covers many applications in data science, including support vector machines, random forests, and clustering methods. Every chapter also includes R code for implementing relevant applications.

Read Tidy Modeling with R by Max Kuhn and Julia Silge. This book is a guide to using a new collection of software in the R programming language for model building. It focuses on how to use software for modeling and outlines good methodology and statistical practice.

Read The Pragmatic Programmer by Andrew Hunt and David Thomas. The book goes beyond writing code (but includes a wealth of best practices for that) and covers important concepts in project management and software development. Let's be honest, you probably should have read this book years ago.