Become a Better Data Analyst with Tableau - DenmarkTUG
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Presented to Denmark Tableau User Group on 2nd September 2020
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Become a Better Data Analyst with Tableau - DenmarkTUG
- 1. Skills for Success Tips to Help you Become a Better Analyst with Tableau Sarah Bartlett Denmark TUG | Sep 2020
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- 6. 9 MyFirstViz
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- 10. Why Tableau?
- 11. • Data skills are in demand • Market-leading visualisation software • Industry-agnostic • Easy to learn • Free, open source version • The Tableau Community Why Tableau?
- 12. Tips to Advance your Career in Analytics with Tableau 15
- 13. Data Tools Design Credit: Will Chase @W_R_Chase The Data Visualisation Skills Triangle
- 14. Data Viz Triangle 17 Data • Data collection methods • Data wrangling • Data structures • Basic statistics • Ability to evaluate hypothesis’s & data storytelling Design • Layout • Fonts • Colour • UX & UI Tools • BI tools – i.e. Tableau, Power BI, MS Excel • Code – i.e. SQL, D3.js, ggplot2, Python, R • Pen & paper Credit: Will Chase @W_R_Chase
- 16. Master The Basics ○ Utilise free training resources ◦ www.tableau.com/learn/training/20202 ◦ elearning.tableau.com/ ◦ thetableaustudentguide.com/ ◦ Python, R, SQL: datacamp.com/, freecodecamp.org ○ Attend a formal training class ◦ At work, online (i.e Udemy) or via a user group ○ Learn data visualisation best practices ◦ community.storytellingwithdata.com/
- 18. Practice Regularly • Download the free Tableau Public app • Choose learning projects that challenge you • Combination of small scale & larger projects
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- 20. 3. Ask the Right Questions (of your data)
- 21. Know the Questions to Ask • Is your data source trustworthy? • Is my data complete? • Can this data actually help me answer my question or do I need additional data? Understand the limits of your data ○ How Charts Lie by Alberto Cairo ○ Avoiding Data Pitfalls by Ben Jones
- 23. Study Design Fundamentals Traditional design teachings (i.e. web or graphic design) do not always apply to data viz ○ The Design of Everyday Things by Don Norman ○ Practical Typography by Matthew Butternick ○ The Big Book of Dashboards by Steve Wexler, Jeffery Shaffer and Andy Cotgreave ○ Storytelling with Data by Cole Nussbaumer Knaflic ○ Reflections in Design blog by Sam Parsons ○ Killer Visual Strategies by Amy Balliett
- 25. Publish your Work • Publish your work to Tableau Public • Share on social media - Twitter / LinkedIn / Instagram / Pinterest • Seek feedback & iterate - #MMVizReview / #DatafamFeedback / SWD Community • Show progression in your portfolio • Create a visual CV
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- 29. Engage with the Community • Join a user group (TUG) - usergroups.tableau.com/ • Follow others on Tableau Public • Join Twitter & follow data people #datafam • Join the Data Visualisation Society • Find a mentor - mentoringmeetup.com/ • SWD Community – Practice, give/receive feedback community.storytellingwithdata.com/
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- 31. 7. Get Certified
- 32. Get Certified • Prove your Tableau (& data viz) skills • Boost your CV • Stand out from the crowd • Test your knowledge – fill in the gaps • Earn badges & swag!
- 33. 36 SPECIALIST • 1 HOUR • 30 X MULTIPLE CHOICE • COSTS $100 • VALID FOREVER ASSOCIATE • 2 HOURS • 36 X MULTIPLE CHOICE • COSTS $250 • VALID FOR 2 YEARS PROFESSIONAL • 3 HOURS • PRACTICAL, HANDS ON • COSTS $600 • VALID FOR 3 YEARS Tableau Certification Paths
- 35. Community Resources • Viz Wiz – Over 1,000 Tableau blog posts by Andy Kriebel - www.vizwiz.com/ • Playfair Data – Tableau Tutorials by Ryan Sleeper - playfairdata.com/blog/ • Flerlage Twins –Tableau tutorials & templates for more advanced chart types - flerlagetwins.com • Data Revelations –Tutorials and best practices, advice for working with survey data - www.datarevelations.com/blog-page • Tableau Tim – Tableau training videos covering new features & tips - www.youtube.com/user/tfngwena/featured
- 36. 9. Teach Others
- 37. Teach Others ○ Start a blog or video channel ○ Mentor someone - mentoringmeetup.com/ ○ Present at TUG’s & Meetups ○ Answer questions on the Forums ○ Tableau Doctor / Lunch & Learns
- 38. Let’s Recap!
- 39. 42 Master the Basics Build strong foundations Practice Regularly Refine your skills & choose projects that challenge you Publish your Work Share your work & seek feedback Engage with the Community Engage with others & build your network Get Certified Prove your skills Teach Others Share your knowledge and give back Ask the Right Questions Know the questions to ask of your data Study Design Fundamentals Layout, typography, colour Leverage Community Resources
- 40. 43 Thanks! Twitter | @sarahlovesdata Blog | www.sarahlovesdata.co.uk Email | sarah_bartlett@outlook.com Public | public.tableau.com/profile/sarah.bartlett#!/ Presentation template by SlidesCarnival
Editor's Notes
- The skills required for data viz
- www.makeovermonday.co.uk www.workout-wednesday.com https://sarahlovesdata.co.uk/tag/ironquest/ https://vizzendata.com/projecthealthviz/ https://www.sportsvizsunday.com/
- This includes your initial question, i.e. hypothesis but also the questions to ask of your data
- Source: Maria Brock