Data
Free
London (老虎机游戏)
Monday, 14 October, 2024
6
–
8
am
CDT
Hands-on Excel Analytics | FREE Data Skills
About This Class
With the right questions and a clean dataset in-hand, the time has finally come to find the answers to your questions with data analysis in Excel.
This free, two-hour session gives you hands-on practice applying some of the most commonly used Excel actions like regular tables, PivotTables, VLOOKUP, charts, and conditional formatting to your dataset to extract the answers to your questions — and maybe prompt some new questions.
With freshly analyzed data in-hand, make sure to join our next session where you’ll take your findings from our Excel analysis and Visualize that Data in Tableau. We’ll see you there.
Takeaways
- Understand when, why, and how to use regular tables and VLOOKUP.
- Learn how PivotTables work, and how to use them to quickly create dynamic aggregations, slices, and filters.
- Get hands-on practice with common Excel visualizations like bar graphs, pie charts, line charts, and conditional formatting.
Preparation
- This is a beginner-friendly series, so no prior knowledge is necessary.
- You’ll need an Excel account if you’re planning to follow along live. If you don’t have one already, you can sign up for a Free 1-Month Trial of Microsoft 365. Keep in mind, this part is optional.
- A recording of this session will be sent via email at the end of the full Skill Seeker series.
- This session will be held in a Zoom webinar, so your mic and camera will be off. We’ll interact through the chat, Q&A, and reactions.
About the Instructor
Ed is a data scientist who is based in London, UK. Ed graduated with a degree in Product Design and Innovation and enjoys thinking creatively about problems. This lead him to become an interactive producer creating solutions such as augmented reality apps for Mercedes and viral virtual reality roller coaster rides.
After working with augmented and virtual, Ed realised the new reality was that he was much more interested in data science and pivoted his career. He transitioned to become a data scientist and found his niche in developing machine learning models in the MedTech space.
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