Crash Course on Startup Analytics
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The document is a crash course on startup analytics presented by Sik Hoe Yong, focusing on essential techniques for manipulating data using tools like Microsoft Excel, Google Sheets, and SQL. It covers the basics of analytics, key functions, and workshops for hands-on experience with various analytics tools. The course aims to familiarize participants with practical data analysis techniques and useful features for reporting and visualization.
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Crash Course on Startup Analytics
- 1. Crash Course on Startups Analytics Presenter: Sik Hoe Yong BI Lead, Speedrent
- 2. Background • Education: – University of Wisconsin-Madison, USA – Bachelor in Business Administration – Majors: Actuarial Science & Risk Management • Past Experience: – Towers Watson- Actuarial Analyst – Easy Taxi- Head of BI – foodpanda- Head of Ops BI
- 3. Objective • Learning the basic/most useful techniques to manipulate data – Getting familiar with Excel/Google Sheets – Getting familiar with some useful formulae/features – Explore possibilities with these tools
- 4. Agenda • Brief Introduction to Analytics • Choosing the Right Tools • Workshop – Microsoft Excel – Google Sheets – Google App Scripts
- 5. Brief Introduction of Analytics • What is analytics? • Why analytics? • Who uses analytics?
- 6. Choosing the right tools • Basic Analysis: Microsoft Excel • Report Sharing/Automation: Google Sheets • Data Visualization: Microsoft Power BI • Data Crunching: SQL • Data Modeling: R
- 7. Workshop • Excel • Google Sheets • Apps Scripts
- 8. Getting Started • Download Raw Data: – Go to http://bit.ly/ghaws – File>Download as>Comma Separated values – Open in Microsoft Excel
- 9. Microsoft Excel • One of the most popular analytics tool • Many one-click features • Good for basic/simple analysis, but too slow for massive data crunching
- 10. Popular/Useful Features • Text to Column • Drop Down Items • PivotTable • Macro Recording
- 11. Manipulating Dates • Getting Day, Month, Year from Dates • Getting Dates from Day, Month, Year • Finding the Beginning/End of Week/Month
- 12. VLOOKUP/INDEX+MATCH • =VLOOKUP(lookup_value, table_array, col_index_num,[range_lookup]) • =INDEX(array, row_num, col_num) • =MATCH(lookup_value, lookup_array,[match_type])
- 14. Google Sheets • Very progressive, a lot more possibilities – Apps Scripts, Extensions, Add-ons – Google services • Google Finance • Google Translate • But with certain limitations
- 15. Google Sheets • Useful Features – Add-ons – Autochart/analysis
- 16. Google Sheets: Useful Functions • FILTER • QUERY(advanced) • ARRAYFORMULA • IMPORTRANGE
- 17. Other cool functions • https://support.google.com/docs/table/25273 • =GOOGLEFINANCE • =GOOGLETRANSLATE • =IMAGE
- 18. Apps Script • Similar to JavaScript • Build Almost Anything • Build a Tic-Tac-Toe
- 19. Prepared by: Sik Hoe Yong sikhoe.yong@uwalumni.com
Editor's Notes
- #4: There are many tools out there that helps you to visualize raw data, so you just need to click on one button and you get your analysis. But sometimes, these tools are not flexible enough to just run a simple analysis that perhaps just need one excel formula. So what we are learning today, are these small little techniques that allow you to run some quick analysis, and as you keep doing it, you will slowly learn how you can combine all these small little techniques to run a complex analysis.