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

4.2
3,005 notes
669 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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176 - 200 sur 653 Examens pour Mastering Data Analysis in Excel

par Ndilisa M

Sep 28, 2017

Great course!

I would have liked more practical linear regression example. This course has both been challenging and informative! Thank you.

par Chen X

Dec 06, 2017

hard but useful

par May

May 09, 2018

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

par Jianhui B

Oct 16, 2017

I like the supplemental materials, which are all very helpful!

par Bharath M

Jul 04, 2017

good

par Christopher M

Aug 14, 2017

Excellent course. I came in a very good user of Microsoft Excel and have left being a much better user. Simpl

par Amar S

Aug 13, 2017

I would recommend this course who are thinking to learn data analysis. Its your gateway to the field of data analysis.

par Javier G

Aug 08, 2017

Great Class but it could use some more detail and info for all the concepts and terminology. For example, entropy would be better understood with more detailed information about entropy and its concept.

par Subrata K D

Sep 11, 2017

Nice Course. Nice Analysis.

par Athanasios K

Jul 25, 2017

Amazing and Very tough Course!!!

par Ibrahima D D

Jan 18, 2016

Great class

par Md. H I S

May 28, 2017

Excellent!!!

Its has so many things to learn; from understanding the data analysis process to building actual models. This course definitely laid the foundation of basic understanding and implementation of making decision thorough data analysis.

I would recommend this course to whoever is interested in learning data analysis or is involved in rational decision making through the data analysis.

par Fidel B

Mar 28, 2016

Excellent

par Mohammad U

Aug 26, 2016

First step toward becoming data scientist.

par Sylvia S

Jan 27, 2016

Very thorough and useful. Thank you so much.

par 陈思达

Oct 29, 2015

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

par Lisa Y

Jun 05, 2017

Very informative and a big learning curve for beginners. But love the guiding projects, which make sense of a lot things!

par Barbora B

Feb 06, 2018

Amazing course, I recommend it very much!! It is a just-right challenge - not too easy but not impossible to do either. It's also quite up to everyone how deeply he/she decides to immerse in the subject. Thank you professor Egger!!

par HUILIN M

Dec 02, 2015

useful

par Franco A M A

Jan 11, 2016

amazing!

par Kuljeet K

May 27, 2016

Very good course

par Partha G

Dec 04, 2015

Great knowledge to build your own equity in decision making.

par juan a c

Feb 06, 2016

very good is increible this course for practice

par Sy Y W

Apr 05, 2017

Hello, I am Gabriel Wang from TAIWAN. I am currently working as HSEQ Manager in a LNG shipping management company. Thank you for been so patient & Nice for having course online. I DO learnt a lot from it. Appreciated.

par Kyriaki B

Feb 12, 2016

Very interesting!