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듀크대학교의 Mastering Data Analysis in Excel 학습자 리뷰 및 피드백

4.2
3,039개의 평가
680개의 리뷰

강좌 소개

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....

최상위 리뷰

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.

NC

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.

필터링 기준:

Mastering Data Analysis in Excel의 661개 리뷰 중 251~275

교육 기관: Amrisha

Jun 04, 2017

The instructor has taken every possible care to present the content in a very lucid manner, decked with illustrative examples and case analytics.

교육 기관: Partha G

Dec 04, 2015

Great knowledge to build your own equity in decision making.

교육 기관: 陈思达

Oct 29, 2015

This course is amazing! Very useful for students who are looking for data-driven position. Thanks for sharing.

교육 기관: Elena D

Jul 03, 2017

Really good and complete course.

교육 기관: Jagmohan M

Dec 28, 2018

Great !

교육 기관: Simran K

Dec 18, 2015

Great one

교육 기관: XUZHENGYU

Mar 30, 2016

very nice course,discussions are very helpful.

교육 기관: Rezaan H

Sep 29, 2018

Good content, broad and well tested but definitely

교육 기관: Ian J

Feb 02, 2016

Excellent instruction/instructor and great templates.

교육 기관: Balachandra P H

May 31, 2018

The course was interesting and challenging. Professor Egger's lectures were very useful in understanding the concepts.

교육 기관: Christian M

Oct 31, 2017

Excelent!!!

교육 기관: Tripper R

Nov 27, 2017

A challenging course that rewards conscientious effort. Heavy on math, both practical and theoretical. Highly recommend comfort with college level statistics before taking this course.

교육 기관: Kathryn M L

Feb 18, 2016

Instructor is highly knowledgeable and provides an interesting and thought provoking lecture.

교육 기관: Juan P B

Apr 30, 2017

Fun to watch, great exercises and examples, interesting subjects made simple. Congrats!

교육 기관: Sirsendu S

Jul 30, 2017

loved it

교육 기관: Ricardo B

Oct 24, 2017

Great course.

교육 기관: NASANTOGTOKH E

Sep 04, 2018

So cool course :)

교육 기관: Rafael M

May 22, 2016

so far, so good

교육 기관: Ming J

Nov 09, 2016

Really great! Things taught in this course are useful.

교육 기관: Rogelio R G

Oct 26, 2015

Excellent Idea and concept, thank you!

교육 기관: May

May 09, 2018

This course is good for learners to practice and apply the math method to the real case.

교육 기관: Saurabh S

Mar 05, 2016

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

교육 기관: Ruth D

Dec 25, 2017

Really enjoyed it, felt challenged and engaged, and learnt a lot of valuable information and techniques!

교육 기관: Muhammad b A

Aug 24, 2017

Very challenging

교육 기관: Nicolas E

Jun 10, 2016

Very important course if you want to know more about data analysis. Fascinating materials (Markowitz optimisation, linear regression, information gain, binary classification...) with both theoretical and practical aspects! In spite the fact you won't learn much about VBA skills, this course will definitely give you a very good basis for addressing any data analysis problem with Excel.