Chevron Left
Zurück zu Mastering Data Analysis in Excel

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

3,378 Bewertungen
787 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....



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.

Filtern nach:

251 - 275 von 768 Bewertungen für Mastering Data Analysis in Excel

von Athanasios K

Jul 25, 2017

Amazing and Very tough Course!!!

von Elena D

Jul 03, 2017

Really good and complete course.

von Oscar R

Jan 09, 2016

Very good teachers/instructors.

von Marcelo A S

Oct 29, 2015

Exactly what I was looking for!

von Celine S

Mar 14, 2016

learn lots of practical things

von AIDA B S H

Nov 09, 2015


von Andres F G P

Dec 03, 2017

Very good learning experience

von Tewende J E K

Aug 03, 2016

We learn a lot in this course

von Ashish K R

May 12, 2020

your lectures were the best.

von Mark S

Feb 28, 2020

Great instruction and exams!


May 09, 2017

Great. Thank you. Keep going

von 马杰

Apr 12, 2016

Great contents and teachers!

von Jessie H

Jun 29, 2020

This course is very useful.

von Subrata K D

Sep 11, 2017

Nice Course. Nice Analysis.


Dec 29, 2017

great course to learn basi

von 顏慷

Sep 18, 2017

Too good to be true course

von Olga

Jun 02, 2016

given very useful material

von Jose J

Dec 20, 2015


von Javier

Jun 13, 2018

Excellent. Unique tools.

von Nusrat J

Nov 23, 2016

really awesome course...

von mikelvol1

Sep 07, 2016


von Sandeep K Y

Feb 04, 2016

Really useful project :)

von AINA A F

Jul 18, 2020

Very interesting course

von Daniele R

Aug 15, 2019

Very interesting course

von Andrii K

Feb 16, 2016

Hard as hell, liked it.