This is a guest post from Michael Li of The Data Incubator. The The Data Incubator runs a free eight week data science fellowship to help transition their Fellows from Academia to Industry. This post runs through some of the toolsets you’ll need to know to kickstart your Data Science Career. If you’re an aspiring data scientist but still processing your data in Excel, you might want to upgrade your toolset. Why? Firstly, while advanced features like Excel Pivot tables can do a lot, they don’t offer nearly the flexibility, control, and power of tools like SQL, or their functional equivalents in Python (Pandas) or R (Dataframes). Also, Excel has low size limits, making it suitable for “small data”, not “big data.”
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