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Avis et commentaires pour d'étudiants pour Mastering Data Analysis in Excel par Université Duke

3,460 évaluations
809 avis

À propos du cours

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....

Meilleurs avis


Oct 31, 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.


Dec 20, 2016

Overall, the course material is good with many example. Need a general knowledge with mathematical and statistical from the beginning to pass the exam, because course slide is a little bit fast.

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226 - 250 sur 789 Avis pour Mastering Data Analysis in Excel

par Sreedharrao V R

Jan 08, 2018

Good starting point exercises are challenging .

par Juan A C J

Feb 06, 2016

very good is increible this course for practice

par Shubhangi

Aug 15, 2020

Great course and definitely a recommended one.

par Nhan T N

Jul 11, 2019

Great course for essential knowledge in Excel!


Mar 30, 2016

very nice course,discussions are very helpful.

par Rohan D

Dec 22, 2015

Meticulously designed for crisp understanding!

par Vladimir P

Aug 17, 2016

Indeed a Mastering course for Data Analysis!

par Majid A

Feb 18, 2016

Simply if define it in one word. EXCELLENT!!

par Sylvia S

Jan 27, 2016

Very thorough and useful. Thank you so much.

par Isaiah T C

Jan 22, 2016

I never knew excel had so much possibilities

par 赵旭鹏

Jan 27, 2016

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

par Munyaradzi M

Sep 10, 2018

very good course for analytics, the maths!

par Mohammad U

Aug 26, 2016

First step toward becoming data scientist.

par Austin K

Jun 01, 2017

pretty clear explanation for new learner

par Danny I

May 14, 2016

Dense! Very Dense. Cool testing methods.

par Anirudh R

Sep 21, 2016

Excellent Faculty and robust coverage!!

par Saurabh S

Mar 05, 2016

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

par Rogelio R G

Oct 26, 2015

Excellent Idea and concept, thank you!

par Philip L

Sep 24, 2016

Very practical course! Learned a lot.

par konglingyu

May 27, 2018

1 start for its so hard to find data


Feb 07, 2017

Teaching method of Daniel is awseome


Jun 13, 2016

Excellent explanation and examples..

par Chandler

Mar 24, 2016

very helpful and useful in real case

par balaji p

Jan 19, 2016

Good content and practical examples.

par Huiquan L

Jan 02, 2016

Extremely useful and easy to follow!