Chevron Left
Retour à Mastering Data Analysis in Excel

Avis et commentaires pour l'étudiant pour Mastering Data Analysis in Excel par Université Duke

4.2
3,036 notes
680 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

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.

Filtrer par :

176 - 200 sur 661 Examens pour Mastering Data Analysis in Excel

par José G F

Jan 31, 2016

It´s an excellent courser, very dynamic and fun. You´ll learn a lot of usefull techniques to use in daily life or work

par Rafael M

May 22, 2016

so far, so good

par Kathryn M L

Feb 18, 2016

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

par Javier C

Dec 21, 2015

Awesome course; it's not only about the tool, but mostly about the rationale behind what to do and how to do it.

par Ruth D

Dec 25, 2017

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

par Paul O

May 17, 2016

Detailed videos

par Swetha C

Nov 22, 2015

Very good course. Loved Daniel's teaching. I have a request to make coming from healthcare/ lifesciences background and a starter to analytics it would be very very helpful if Daniel can include basic/ elementary videos on probability and statistics/ Bio-Statistics in this course to enable us to go deeper.

Else a separate course on BioStatistics and probability would be WOW. Looking forward for more courses from Daniel.

Thanks,

Swetha

par 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.

par Sreedharrao V R

Jan 08, 2018

Good starting point exercises are challenging .

par Paula T B

Oct 21, 2015

Excellent

par Alison T

Dec 21, 2015

This course was a great recap in math/statistics that I had totally forgotten about. Things were explained clearly, and the application of concepts was practical

par Andrii K

Feb 16, 2016

Hard as hell, liked it.

par Mike A

Feb 13, 2016

Excellent class. Much tougher than expected. I went in thiinking I was an Excel guru, and learned a ton.

par Evandro M S R

Dec 16, 2015

I teach quantitative methods in a Business course at University of São Paulo (Brazil). This is an excelent course with fundamentals and very usefull applications.

par Huiquan L

Jan 02, 2016

Extremely useful and easy to follow!

par Yichen W

Mar 10, 2016

Fantastic course, a lot of work. You definitely need decent maths and a bit of basic statistics to fully understand the course. The course covers many topics and provide great practice on core application in statistics field.

par Bruno H N

Apr 21, 2016

Fantastic!!

par Cristian D A

Dec 13, 2015

GREAT!!

par Molly M

Jan 25, 2018

This course is very informative, and I am already thinking about applying the things I've learned in my work. I found that the first part of the final project was the most difficult and time-consuming part of the course. Budget extra time for it!

par Li T

Jan 01, 2016

very useful, but hopefully, there will be some slides for learning.

par Nikolay L

Jan 15, 2016

Excellent and reasonably challenging course. One of the courses that would be extremely hard without a solid foundation in maths.

The final project is massive and time-consuming - I didn't see it coming and was surprised, not in a good way ;) You better start working on the final assignment since the beginning of the course.

par Juan P B

Apr 30, 2017

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

par Kubra K S

Sep 21, 2016

Egger is very well instructor. The course is useful.

par JOSE M A A

Feb 04, 2016

I thank Prof. Daniel for the clear exposition of the course.

par Juan C D O

Jun 23, 2016

Excelent!