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

4.2
étoiles
3,470 évaluations
811 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.

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151 - 175 sur 790 Avis pour Mastering Data Analysis in Excel

par Ruth D

Dec 25, 2017

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

par Yingyu G

Mar 25, 2016

This course really tortured me , but really worth the time and effort, I did learn something by heart :)

par Akshay K

Mar 29, 2017

Resources provided are very good in quality, completeness, easy to understand, and clear for neophyte.

par Poojitha D

Aug 15, 2020

It is a really interesting course and the assignments are tough which makes the course more exciting.

par Mitchell S

May 13, 2020

Great method. Hurt my head trying to learn all of this but really cool material! Well done professor.

par Svetlana R

Nov 10, 2019

It's a good course, lots of information. But you need to have previous knowledges in maths and excel.

par Uday P S

Jan 27, 2020

Excellent course and structure. Great lectures. Was very difficult and challenging for me. Thanks!

par Julie K

Aug 21, 2020

Out of all the course in this specialisation this course has left me wanting to keep on learning.

par Martha Y V C

May 23, 2017

I really enjoied the statistics and challenges of the course, a practical way to apply statistics

par Harsimran K

Nov 25, 2016

I being a beginner found this course to be very helpful.It gave me a good start in data analysis.

par Mara H

Jun 15, 2020

Challenging course that does a great job pushing you to learn more on analyzing data in Excel.

par Ehui E S A

Mar 17, 2018

Great course to master Data Analysis in Excel: a great part toward the Data scientist career.

par Kathryn M L

Feb 18, 2016

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

par Benjamin L

Dec 22, 2015

patctical and useful course,is better for your creer life. Thanks for sharing the knowledge.

par kwangje.baeg

Jul 25, 2016

swollen with pride that I could be a great biz analyst

ofcourse, with Great professors ^~^

par Lishu W

Dec 18, 2015

Great course! I've learned a lot useful equations in business, and the appliance in excel.

par Abir H

Oct 24, 2015

The instructions are excellent. It really helps to learn the analytical functions in Excel

par May

May 09, 2018

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

par Oscar B

Mar 07, 2016

Great Course, it's a useful tool to improve your excel, and your Knowledge in statistics.

par Anthony J

Oct 06, 2016

The course was very clear and they included topics on information theory and statistics.

par Olga A

Dec 08, 2018

Difficult, but i'm glad to tried and completed. Thanks to all, who created this course.

par Theo

Aug 07, 2017

I really enjoyed this course and I hope I could go for the next course of data analysis

par Juan P B

Apr 30, 2017

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

par LE Z

Apr 17, 2016

I hope the video could show me more about how to do these entropy calculations in Excel

par Pankaj R

Jan 24, 2020

It's very nice with unique content. But some of things needs to explain more.

Thank you