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

4.2
звезд
Оценки: 3,209
Рецензии: 732

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

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.

Фильтр по:

251–275 из 715 отзывов о курсе Mastering Data Analysis in Excel

автор: 顏慷

Sep 18, 2017

Too good to be true course

автор: Olga

Jun 02, 2016

given very useful material

автор: Jose J

Dec 20, 2015

很有趣的课程,作为基础性的知识很好地引导了学生的兴趣

автор: Javier

Jun 13, 2018

Excellent. Unique tools.

автор: Nusrat J

Nov 23, 2016

really awesome course...

автор: mikelvol1

Sep 07, 2016

闲下来复习下概率也是挺好的,excel只是个幌子

автор: Sandeep K Y

Feb 04, 2016

Really useful project :)

автор: Daniele R

Aug 15, 2019

Very interesting course

автор: Andrii K

Feb 16, 2016

Hard as hell, liked it.

автор: Giovanni V

Jan 25, 2016

This is a great course.

автор: Manoj L

Dec 11, 2015

Very Useful, Eye-opener

автор: Arjun S

Aug 20, 2019

Very,very informative.

автор: chel o

Jul 06, 2019

amazing! thank you all

автор: Kunal M

Jun 26, 2017

course is very helpful

автор: Haoran L

Dec 20, 2019

Dr. Egger is the best

автор: Stepan P

Nov 14, 2015

Great Course! Thanks)

автор: Samir C

Oct 22, 2015

This is just awesome.

автор: Zhou J

Feb 07, 2016

很棒的组织

数学与Excel结合的非常密切

автор: Meet M L

Sep 05, 2019

Excellent detailing

автор: RUSI L

Apr 27, 2017

Very useful course.

автор: OKAI-BONSU B

Jan 15, 2016

good course for all

автор: Armaghan

Dec 15, 2015

very good training.

автор: Phoebe K

Jul 02, 2018

very insightful!!!

автор: Dengjiahao

Feb 09, 2016

Very good Courses!

автор: Luis M G

Nov 23, 2015

Excelente temario!