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A guide to your career in analytics track
Updated on Sep, 2026
Programming, Software Engineering, Software Practices
Duration - 2.5 hours
Training 5 or more people ?
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Do you need analysis in your work? Or you want to be an analyst but don't know where to start? Many companies claim that they are data-driven and looking for analytical talents. But what is data driven and what exactly is analytical skills? Why we are already looking at numbers but still don't know what to do? Why I have required skills like SQL or Python, but still not hired?
If you have related questions like mentioned above or wonder if analytics career is right for you, this course could be right to you. This course won't teach you everything of SQL, Python, or R. But will let you know what tools or techniques you need to be an analyst. It's perfect for students or people who want to be analyst.
I'll walk you through what roles you would have chance to apply analysis, what popular tools there are in tech industry, and how the interviews would look like. I even provided the list of courses and resources that I recommend. My 5 years of experience and job searching knowledge sharing in a nutshell.
Different roles and their scenarios of using analysis during work
Quantitative Analysis
Frequently seen mistakes
No prerequisite for coding and analysis, but requires basic statistics knowledge, i.e. mean, percentiles, and distribution
Ideally some SQL & spreadsheet knowledge would be better
Check out the detailed breakdown of what’s inside the course
Over 100+ interviews with over 50 companies in 10 different countries in the past 5 years of professional experience. Also an interviewer for an analytics role. Analytics @ FAANG, a pre-IPO unicorn company, and getting offers from 5 different countries. Designed and analyzed Product Development and Marketing experiments for AB testing experiment design and metrics defined, optimized company-wise workflows, and saved workload by proposing and developing new tools. Self-driven as posting 700 posts and reaching 5M+ on LinkedIn in the past 5 years. Aspiring to grow data maturity with organizations, leveraging experimentation and causal inference for growth strategy.
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