Data Analytics Toolkit: From Excel to Python, R, and Tableau
English | Tutorial | Size: 3.23 GB
11+ Hours of Video Instruction
The perfect way to up your data analytics game: tools and parallel case studies!
Overview
There are lots of ways to learn data analysis, but one way that really helps it to sink in is to see analyses of actual data. Add to that the use of four analytic tools to analyze each of the five data sets, and you have an excellent way to learn data analysis. In Data Analytics Toolkit: From Excel to Python, R, and Tableau that is exactly what is done. Data from five case studies are each analyzed using Excel, Tableau, R, and Python. This approach provides a unique, thorough, and in-depth way to learn data analytics.
About the Instructors
McKenzie Lamb is professor of mathematical sciences at DePauw University. in Indiana. Although his graduate work focused on topics in differential geometry, about 10 years ago McKenzie pivoted toward more applied areas, including data analysis, applied optimization, machine learning, and quantitative reasoning. Since 2019 he has been focusing on data visualization utilizing Tableau. Since moving to DePauw University, he has had the immensely enjoyable opportunity to teach a dedicated course called Data Visualization in Tableau as part of their new School of Business and Leadership. He also recently led a Tableau workshop for masters degree students at the University of Colorado Boulder.
Eric Gaze directs the Quantitative Reasoning (QR) program in the Baldwin Center for Learning and Teaching (BCLT) at Bowdoin College, and he is also a Senior Lecturer in the Mathematics Department. He is a past President of the National Numeracy Network (NNN 2013-2019) and past chair of the BCLT (2015-2019). He gives talks and leads workshops on QR course development and assessment, in addition to being on review teams of academic support programs. He is the author of a 2023 QR textbook published by Pearson, Thinking Quantitatively: Communicating with Numbers (3rd edition).
Learn How To
Use Excel, Tableau, R, and Python to analyze data from five case studies.
RAPIDGATOR:
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TURBOBIT:
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