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Отзывы учащихся о курсе Mastering Data Analysis in Excel от партнера Университет Дьюка

Оценки: 3,805
Рецензии: 920

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

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

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:

226–250 из 901 отзывов о курсе Mastering Data Analysis in Excel

автор: Li T

1 янв. 2016 г.

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

автор: Jeyhun N

24 июня 2020 г.

well organized, only was missing more details of specific problems

автор: Pedro A L M

8 мар. 2016 г.

I really recommend this course. Very useful!!

Perfectly explained.

автор: Adelodun A

24 дек. 2020 г.

excellent course. Learning new concept. The facilitator is superb

автор: Deleted A

16 окт. 2017 г.

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

автор: Jean-Christian M O

22 февр. 2016 г.

Great course. Relevant ad practical examples and case studies.

автор: Bhavya D

5 мар. 2021 г.

This course is really good and intresting..Thank you so much.

автор: Sanni f O

28 июля 2017 г.

Great course. Can't wait to complete the whole specialization

автор: JOSE M A A

3 февр. 2016 г.

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

автор: Erin C

24 янв. 2016 г.

very practical course with understanding of business context

автор: Daniel M

22 янв. 2016 г.

great statistic refresher and hands-on experience with excel

автор: Partha G

3 дек. 2015 г.

Great knowledge to build your own equity in decision making.

автор: Ming J

9 нояб. 2016 г.

Really great! Things taught in this course are useful.

автор: Shuang G

22 дек. 2015 г.

Very good! Useful for both new learners and expertise.

автор: Sebastián O

17 дек. 2016 г.

Muy buen curso para iniciarse en modelado estadístico

автор: Ian J

2 февр. 2016 г.

Excellent instruction/instructor and great templates.

автор: TrinaA

16 апр. 2020 г.

Very challenging class - I learned a lot! Thank you!

автор: Kubra K S

21 сент. 2016 г.

Egger is very well instructor. The course is useful.

автор: Aysharjo H

28 мар. 2019 г.

really helped me understand the material for my job

автор: Rezaan H

29 сент. 2018 г.

Good content, broad and well tested but definitely

автор: María I B

5 дек. 2016 г.

Excelentes tutoriales y muy interesante el temario

автор: matthewcs

17 июня 2016 г.

Great - the maths section was actually educational

автор: Alfred H

11 февр. 2016 г.

Clear, concise and clean communication! Thank you!

автор: Hang S

7 февр. 2016 г.

Awesome!However, you need knowledge of statistics.

автор: Luciano d A P

15 нояб. 2015 г.

Great course! Excellent videos and good exercises.