Вернуться к Mastering Data Analysis in Excel

4.2
звезд
Оценки: 3,874

О курсе

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....

Лучшие рецензии

TB

16 нояб. 2021 г.

I like and appreciate courses provided through Coursera.This course is very interesting and valuable for those whose jobs do have relevance with data management .God bless Coursera and Duke University

JE

30 окт. 2015 г.

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.

Фильтр по:

201–225 из 923 отзывов о курсе Mastering Data Analysis in Excel

автор: Anthony J

6 окт. 2016 г.

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

автор: Olga A

8 дек. 2018 г.

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

автор: Theo

7 авг. 2017 г.

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

автор: Juan P B

30 апр. 2017 г.

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

автор: LE Z

17 апр. 2016 г.

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

автор: Pankaj R

24 янв. 2020 г.

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

Thank you

автор: Chengyu H

3 окт. 2017 г.

I'm happy to learn some concepts of handling data in excel, though it's a bit roughly.

автор: Francisco D

26 мар. 2016 г.

Excellent content, learned many new things. Mainly new tools in Excel with the Solver.

автор: Reinis S

14 дек. 2015 г.

Turning what I learned in university about data analysis to a more practical approach.

автор: Eugene T

20 дек. 2015 г.

Very challenging course that is very insightful in the use of Excel for Data Analysis

автор: Prem S S

21 окт. 2015 г.

please give some mechanism to refer my friends to this course from the website itself

автор: Hari T

23 окт. 2015 г.

great experience with great faculties and learning basics with smart ways thank you

автор: NICOLAS C H

20 сент. 2020 г.

IS A GREAT COURSE FOR MBA STUDENTS TO ACQUIRE, CONFIRM & PRACTICE THEIR KNOWLEDGE.

автор: Isaiah K A

24 нояб. 2016 г.

Great course for applying real word scenarios with analytical tools such as Excel.

автор: Deleted A

3 июня 2016 г.

Easily and fun learning for novice learners as well as non-mathematics background.

автор: Gaurav s

27 сент. 2018 г.

Excellent course. Learnt the basics of model building in a very practical manner

автор: CHANG L

6 нояб. 2017 г.

great course, the final project is really hard but I can really learn something.

автор: Kristoper J A

25 авг. 2020 г.

Nice Course, really give us the idea of Binary and Regression Model in Business

автор: nikhil s

9 авг. 2016 г.

I would like to recommend for every beginner who wants to learn data analytics!

автор: Maycon O F

12 дек. 2016 г.

Such a good course to learn about data analysis and statistics by using Excel!

автор: Zihui W

9 авг. 2016 г.

Awesome course to take if you want to be proficient with basic usage of Excel

автор: Alexander K K Y

27 сент. 2020 г.

This course is really good for Data Analysis workers to refresh their skills

автор: Gustavo H M

21 мая 2018 г.

Maybe the name could be another, but except for that it's a great course!

автор: Rajat K

6 апр. 2019 г.

great course got great knowledge about the models used for data analysis

автор: Igor S

23 мар. 2018 г.

Thank you very much for this course, although it is may too difficult.