The secret to a great data science career is continuous learning, strong qualifications, and advanced skill sets. If you are looking to distinguish yourself as a competent data scientist, this DASCA guide provides practical insights to help you make smarter business decisions and become more effective in your role.
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Being a data scientist is not only about data crunching. It’s about understanding the business challenge, creating some valuable actionable insights to the data, and communicating their findings to the business.
Find some basic, yet critical tips and tricks to understand the strategies and practices followed by experts in data science.
Python is the go-to language in data science and machine learning. Learn some 'pythonic' hacks to code better and easier.
Learn some tips and tricks to extract and clean the data to make it analysis-ready.
Learn a few hacks on the functions to use for normalization and testing if the data you have is enough.
Learn model building hacks, tips, and tricks explore the libraries you can use for robust model testing and data visualization.
Here are some ways to gain the relevant skills and knowledge to successfully grow in and demonstrate your fitness for data science.