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Kursteilnehmer-Bewertung und -Feedback für Mastering Data Analysis in Excel von Duke University

3,730 Bewertungen
901 Bewertungen

Über den Kurs

Important: The focus of this course is on math - specifically, data-analysis concepts and methods - not on Excel for its own sake. We use Excel to do our calculations, and all math formulas are given as Excel Spreadsheets, but we do not attempt to cover Excel Macros, Visual Basic, Pivot Tables, or other intermediate-to-advanced Excel functionality. This course will prepare you to design and implement realistic predictive models based on data. In the Final Project (module 6) you will assume the role of a business data analyst for a bank, and develop two different predictive models to determine which applicants for credit cards should be accepted and which rejected. Your first model will focus on minimizing default risk, and your second on maximizing bank profits. The two models should demonstrate to you in a practical, hands-on way the idea that your choice of business metric drives your choice of an optimal model. The second big idea this course seeks to demonstrate is that your data-analysis results cannot and should not aim to eliminate all uncertainty. Your role as a data-analyst is to reduce uncertainty for decision-makers by a financially valuable increment, while quantifying how much uncertainty remains. You will learn to calculate and apply to real-world examples the most important uncertainty measures used in business, including classification error rates, entropy of information, and confidence intervals for linear regression. All the data you need is provided within the course, all assignments are designed to be done in MS Excel, and you will learn enough Excel to complete all assignments. The course will give you enough practice with Excel to become fluent in its most commonly used business functions, and you’ll be ready to learn any other Excel functionality you might need in the future (module 1). The course does not cover Visual Basic or Pivot Tables and you will not need them to complete the assignments. All advanced concepts are demonstrated in individual Excel spreadsheet templates that you can use to answer relevant questions. You will emerge with substantial vocabulary and practical knowledge of how to apply business data analysis methods based on binary classification (module 2), information theory and entropy measures (module 3), and linear regression (module 4 and 5), all using no software tools more complex than Excel....


30. Okt. 2015

The course deserves a 5-star rating because: (1) content is relevant, (2) the professor is concise and possesses great teaching skills, and (3) the learning modules are applicable to daily problems.

13. Okt. 2020

The course was excellent. A little difficult and overwhelming at times but as long as you stayed the course the professors gave you every opportunity to succeed. Thank you for your time professor.

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251 - 275 von 882 Bewertungen für Mastering Data Analysis in Excel


16. Nov. 2016

pragmatic enough and a lot of stat to be learned

von Frank-Nelson M

7. Apr. 2020

Valuable insights on data analysis using Excel!

von Sreedharrao V R

7. Jan. 2018

Good starting point exercises are challenging .

von Juan A C J

6. Feb. 2016

very good is increible this course for practice

von Shubhangi

15. Aug. 2020

Great course and definitely a recommended one.

von NGO T N

10. Juli 2019

Great course for essential knowledge in Excel!


29. März 2016

very nice course,discussions are very helpful.

von Rohan D

22. Dez. 2015

Meticulously designed for crisp understanding!

von Vladimir P

17. Aug. 2016

Indeed a Mastering course for Data Analysis!

von Majid A

18. Feb. 2016

Simply if define it in one word. EXCELLENT!!

von Sylvia S

27. Jan. 2016

Very thorough and useful. Thank you so much.

von Isaiah T C

22. Jan. 2016

I never knew excel had so much possibilities

von 赵旭鹏

26. Jan. 2016

very uesful for me ,i'am a student in china

von Munyaradzi M

10. Sep. 2018

very good course for analytics, the maths!

von Mohammad U

26. Aug. 2016

First step toward becoming data scientist.

von Austin K

1. Juni 2017

pretty clear explanation for new learner

von Danny I

14. Mai 2016

Dense! Very Dense. Cool testing methods.

von Esther-Alexandra N

30. Dez. 2020

Great course that challenges you a lot.

von Anirudh R

21. Sep. 2016

Excellent Faculty and robust coverage!!

von Saurabh S

5. März 2016

Goto course ...... very nice ....... :)

von Rogelio R G

26. Okt. 2015

Excellent Idea and concept, thank you!

von Daniel K

21. Nov. 2020

Pretty hard course but great lectures

von Philip L

24. Sep. 2016

Very practical course! Learned a lot.

von konglingyu

27. Mai 2018

1 start for its so hard to find data


7. Feb. 2017

Teaching method of Daniel is awseome