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Data scientists vs analysts

From Me to Everyone: 12:12 PM What are the differences between data scientists and data analysts?

From Bri Gipson to Everyone: 12:15 PM Scientists use advanced statistics for projection analysis. They usually program in R or Python to massage the data during the analysis process to bucket the data. Analysts take existing data to build reports that show trends and current states, but usually not predictive analysis. They would write more SQL and Power BI reports.

From Me to Everyone: 12:19 PM oh I see.. Thanks Bri So machine learning is a kind of job of data scientists? From Bri Gipson to Everyone: 12:19 PM Machine learning is a process that Data Scientists utilize … it’s not the only tool in their belt.

From Me to Everyone: 12:20 PM Got it

From Bri Gipson to Everyone: 12:20 PM Heavy statistics, feedback loops are other processes.

From Me to Everyone: 12:21 PM Sounds more sophisticated than the jobs of analysts..

From Bri Gipson to Everyone: 12:22 PM Depends on your perspective. Rolling up a beautiful Power BI report can show some powerful information …. That’s something a data scientist typically wouldn’t do.

From Me to Everyone: 12:24 PM I see..

aboutME

I am John Fan Zhang, a data analyst and finance researcher. I hold a PhD in finance, CFA charter and full membership of CFA New Zealand Society. I have fifteen-year experience in corporate investment and eight-year experience in advanced data analysis. My research focuses on the effect of social psychology (culture) on financial decisions. Finance research involves heaps of data analyses that lead me to the data field. I am a Microsoft Certified Solutions Expert (MCSE): Data Management and Analytics (Excel, Power BI, and SQL). Aside from Excel, Power BI and SQL, I am also familiar with econometric tools such as Stata, Eviews, and MATLAB. I use OX and Python for programming. I am an active data community event participant, volunteer, speaker, moderator, program reviewer, including PASS Marathon 2020, Global AI BootCamp Auckland 2019, SQL Saturday Auckland (2017, 2018, 2019), and Definity Conference (2018, 2019, 2020, Auckland, New Zealand).

Auckland, New Zealand

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