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How To Become A GREAT Data Analyst – Skills And Best Practices For Data Analysts [Video]

Marketing Analytics and Reporting

How To Become A GREAT Data Analyst – Skills And Best Practices For Data Analysts

Data analysis is part of any data scientist’s daily work (along with data munging and cleansing). It is also important for many other people in the modern workforce, system analysts, business owners, financial teams, and project managers.

However, most undergrad courses do not (or at the very least, did not) teach the basics of data analysis in any of their courses. There are maths courses and statistics, as well as computer programming courses which involve data structures and algorithms.

Yet, none of these focused on how to look at data sets from databases, CSV’s, or other data sources available in the modern data world.

If you enjoyed this video, check out some of my other top videos.

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0:00 Intro
2:15 Set Up A Clear Data Analytics Process
4:56 Don’t Bury The Lede
6:39 Data Analytics Peer Review
8:51 Triple Check Your Data
11:46 Know When To Stop Your Analysis
13:05 Recap

Tags: Data engineering projects, Data engineer project ideas, data project sources, data analytics project sources, data project portfolio

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About me:
I have spent my career focused on all forms of data. I have focused on developing algorithms to detect fraud, reduce patient readmission and redesign insurance provider policy to help reduce the overall cost of healthcare. I have also helped develop analytics for marketing and IT operations in order to optimize limited resources such as employees and budget. I privately consult on data science and engineering problems both solo as well as with a company called Acheron Analytics. I have experience both working hands-on with technical problems as well as helping leadership teams develop strategies to maximize their data.

*I do participate in affiliate programs, if a link has an “*” by it, then I may receive a small portion of the proceeds at no extra cost to you.

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