1 / 19

Crash Course on Startup Analytics

Get a basic intro into the world of analytics! These slides will take you through sorting data sets for your startup.

GrowthHackingAsia
Download Presentation

Crash Course on Startup Analytics

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  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])

  13. IF STATEMENT • =IF(logical_test,[value_if_true],[value_if_false])

  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

More Related