Product Analyst-Resources and Prep#
Hi everyone, I am a Data Enthusiast, and I have 2+ years of experience working in data engineering, analysis and modeling in a professional and academic environment. I an currently looking to prepare for the Product Analyst role to transition from a Data Engineer (with some SDE work at current role)The PA work excites me and in long term(5-10 years)I was hoping to move to a product manager role or do an MBA if it’s needed for a PM role then. need some help from the community to gather some resources particularly for: 1)Product sense 2)A/B Testing 3)Stats #data #dataanalytics #datascience ##engineering #tech #semiconductor #product #pm #productmanager#apple #expedia #amazon #google #meta #stripe #walmart #chime
Product sense: - Sequoia's Data Informed Product building series(https://medium.com/sequoia-capital/data-informed-product-building-1e509a5c4112) - stellarpeer blog(https://stellarpeers.com/frameworks/) - watch some videos on TryExponent(search for metrics video in this channel). A/B Testing: - Udacity A/B testing course - Trustworthy online controlled experiments(https://www.amazon.com/Trustworthy-Online-Controlled-Experiments-Practical/dp/1108724264) Stats: Practice probability questions and brush up on basic ML topics.
Thanks a ton! this is really helpful
Don’t think you’ll need an MBA to make the switch. I think you can probably get away with getting some mentoring from a good coach and some quality interview prep.
thanks for your suggestion