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

4.2
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3,518 Bewertungen
828 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....

Top-Bewertungen

JE

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.

PW

Oct 14, 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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351 - 375 von 809 Bewertungen für Mastering Data Analysis in Excel

von Juan C D O

Jun 23, 2016

Excelent!

von Fidel B

Mar 28, 2016

Excellent

von Valeria M G R

Mar 11, 2016

Excellent

von Simran K

Dec 18, 2015

Great one

von Paula T B

Oct 21, 2015

Excellent

von Anil K

Aug 31, 2020

too good

von Sirsendu S

Jul 30, 2017

loved it

von Artem A

Apr 14, 2016

Noiiice!

von Franco M

Jan 11, 2016

amazing!

von Monica C M

Dec 27, 2015

Awesome!

von Hector G

Sep 05, 2020

perfect

von AshQiu

Nov 28, 2019

awesome

von LINDA A L

Oct 30, 2019

Exel'nt

von Jagmohan M

Dec 28, 2018

Great !

von Liu Y

Oct 29, 2017

like it

von Cristian D A

Dec 13, 2015

GREAT!!

von Pramit A M

Nov 02, 2015

Awesome

von Jose C S M

Feb 11, 2016

Great!

von Marica C

Dec 13, 2015

Great!

von HUILIN M

Dec 02, 2015

useful

von Md. R Q S

Oct 10, 2020

good

von Dishant P

Feb 12, 2020

Nice

von Chirag K

Sep 27, 2019

Good

von Meenal C

Dec 05, 2018

ccol

von Bharath M

Jul 04, 2017

good