What is Data Analytics Journal about?
This Journal is about data analysis, data science, and business intelligence.
There is so much theory around today about big data. I aim to bridge the gap between academic knowledge and industry requirements. Therefore, I write here practical examples, interesting solutions, interview questions, helpful tips, upcoming events, and relevant news for busy analysts.
Who Reads the Journal?
You are a data scientist, data analyst, researcher, product analyst, data engineer, or anyone interested to get to data analysis backstage or stay in tune with events and trends in technology across the big data industry.
Who am I?
I’m Olga Berezovsky, Senior Data Analyst. I bring 10 years of data analysis expertise working, supporting, or volunteering at Change.org. Microsoft, First Republic Bank, F5, PyLadies, Women Who Code, etc. Read more about my projects and values: http://olgaberezovsky.com/
Why do I do this?
I am on a mission to bring classic Data Analysis back.
I met too many data scientists who don’t understand analysis and BI (LTV, MRR, CAC MAU), or PMs who don’t do proper A/B testing and user analytics, or data engineers who overcomplicate data pipelines.
As technologies have matured, they become not a cutting-edge advantage, but a competitive expectation for many companies. It forces analysts to focus on “how” rather than “what” or “why” in their work. I started this journal because I want to encourage and inspire my fellow data fans and enthusiasts to come back to the basics and enjoy genuine data analysis.
What You’ll Get?
Every week I pick only essential news and insights for you to learn about data analysis:
webinars, meetups, and publications you shouldn’t miss
popular frameworks for data analysis
Python exercises and interview questions
common data analysis topics and challenges
must-have applications, tools, and software for data analysis
business intelligence and web analytics tools overview