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Mastering Data Analysis in Excel, Université Duke

4.2
2,743 notes
617 avis

À propos de ce 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

par 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.

par 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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598 avis

par Aditya Shekhar

Feb 15, 2019

This course has enabled me to think the way a data analyst need to think. This course helps in independent growth and getting know the topics by own research. Loved it ! Thank you !

par Thomas Sullivan

Feb 12, 2019

Horrible instruction. Little to no motivation is supplied for each topic. Moreover, the statistical concepts taught in this course are not preceded by preliminary concepts. For instance, I believe it is not until the course is almost over that the concept of a random variable is discussed. Do not waste your time with this course if your goal is to be more skilled in excel.

par Elvis Asihene

Feb 06, 2019

Improvement on my Excel skills to analyse data better. I wish the organisation will be much better. Thank you!

par Tan Yong Yong

Feb 03, 2019

Very useful

par Jennifer Loomis

Jan 24, 2019

Lots of information in a short period of time. Last Final was challenging to say the least, but by reading the Discussion Form you are able to get through it.

par Olga Iliachenko

Jan 14, 2019

I wish there were more quizes after each video to memorize the formulas and get a hold of them.

For the begginers this course is way too difficult to comprehend on their own.

par Jagmohan Mohata

Dec 28, 2018

Great !

par Thanapich Thammathi

Dec 28, 2018

Sheet is hard and too high complex for understand.

par Vardges Zardaryan

Dec 15, 2018

A lot of useful theory

par Olga Atiukina

Dec 08, 2018

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