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Marketing Analytics and Reporting

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

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.

Top Courses For Data Engineers
https://www.youtube.com/watch?v=kW8_l57w74g

Data Engineering Project Ideas
https://youtu.be/LJkVvNWlO0g

If you want to learn more about machine learning, check out DataCamps Machine Learning Course

https://bit.ly/3BeLEml

If you’d like to read up on my updates about the data field, then you can sign up for our newsletter here.

https://seattledataguy.substack.com/​​

Or check out my blog
https://www.theseattledataguy.com/

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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