A cross-post from Python Data on getting started with data analytics and Python, including key modules for time series, NLP, and machine learning.
Why Python became my go-to tool for data analytics over R and Excel, plus the modules that make it possible.
Spend the necessary time in the data modeling phase of your next data project and you may be surprised at the quality of the output of your data analytics.
Data preparation is extremely important to your data analytics / big data projects. Good data preparation can lead to good data analytics outcomes.
Data Analytics means different things to different people. I discuss prescriptive vs descriptive analytics and try to explain why you should care.
There's no 'easy' button or 'secret' to success in big data. It takes hard work and listening to the data to let it tell its own story.
Big data and analytics is no longer about the size or type of data but about how fast data can be converted into useful business information.
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