Zurück zu Mastering Data Analysis in Excel

4.2

Sterne

3,202 Bewertungen

•

729 Bewertungen

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....

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.

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.

Filtern nach:

von Rebekah L

•Sep 05, 2016

Very little to do with Excel, mostly focused on statistics with brief overviews of how things could be done within Excel, but very little focus on actual Excel use and knowledge.

von Smit R

•Jul 05, 2017

The lectures are poorly delivered. The quizzes are ambiguous. The files available for download are erroneous. It seemed the professor was not paid for this course. Stay Away!!

von Olga I

•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.

von Hannah S

•Dec 04, 2015

Too much material, that moved too fast. Wasn't opportunity for enough feedback and explanation. I say this as someone who went to Duke and has taken similar classes at Duke!

von Ashish M

•Feb 17, 2016

The content of the course was good.

However, I did not like the presentation of the material, moreover such a topic would need to be covered by a longer duration course.

von Abdullah A M A

•Jul 08, 2016

The title is misleading .

This course has a little to do with excel , you could get some mathematical information but I do not think you will master anything

von KIM P C S

•Oct 30, 2015

The transition is from easy to advanced. It gets really confusing, not sure if it's just me. I am not following the lessons anymore so I left the course.

von Steph L

•May 02, 2016

I found Week 2: Binary Classification really confusing. It was just not clear. Specifics were not given. Definitions were not given. Poorly instructed.

von Nagraj N

•Apr 16, 2018

Course material is too heavy for a beginner. I would not be able to continue. For a new comer it is an heavy stuff taught like a brushing up course.

von Patricio L M

•May 28, 2018

Significant difference between the material covered during the class period and the examinations. It could be improved considerably. Thank you.

von Daniel R C

•Nov 23, 2015

Great idea. Unfortunately, the course is young and there were too many bugs to get past Week 2. Hopefully these will be finished my next session

von Kentaro H

•Aug 09, 2017

Very confusing. I passed this course but I felt like I didn't learn too much. I think they should include prerequisite for this course.

von Michelle V

•Mar 28, 2016

I found much of this material wasn't as applicable to excel analysis as hoped and didn't cover many of the analysis tools

von Gabriela M

•Feb 15, 2020

Este curso tiene mal el titulo, no trata sobre excel en absoluto, sino mas bien es un curso sobre matemáticas.

von Jairo S

•Mar 11, 2019

The course is poorly structured, taking a lot of effort to decipher what is required in the assignments.

von Alfonso F

•May 07, 2017

Some hard statistical/mathematical concepts with little explanation. Bad pacing and confusing structure.

von Hassaan K

•Jan 12, 2016

Content not discussed in proper detail. Instructor skims over the concepts. Its difficult to follow.

von Wings S Q

•Sep 25, 2016

I'm here learning Excel skills, but this course, especially week 2, does not teach Excel skills.

von Lidiya G N

•Nov 12, 2017

Not enough examples on how to actually do the complicated assignment at the end of the course.

von Jaya S

•Feb 27, 2016

To course got tougher every week while the lecture video is not cover everything.

von 何泽林

•Apr 12, 2019

There are some problems with the spreadsheet, which cost me truly a lot of time.

von Kong L

•Jan 21, 2016

This course is mostly theory based and certainly not what i am expected!

von Nazish K

•Mar 03, 2016

This is definitely not a course for beginners .

von Edward J B

•Nov 28, 2019

Not what i expected for my analysis via excel

von yishu s

•Mar 04, 2016

This course contains too few solid content.

- KI für alle
- Vorstellung von TensorFlow
- Neuronale Netzwerke und Deep Learning
- Algorithmen, Teil 1
- Algorithmen, Teil 2
- Maschinelles Lernen
- Maschinelles Lernen mit Python
- Maschinelles Lernen mittels Sas Viya
- R-Programmierung
- Einführung in die Programmierung mit Matlab
- Datenanalyse mit Python
- AWS-Grundlagen: Mit der Cloud vertraut werden
- Grundlagen der Google Cloud-Plattform
- Engineering für Site-Funktionssicherheit
- Englisch im Berufsleben
- Die Wissenschaft des Wohlbefindens
- Lernen lernen
- Finanzmärkte
- Hypothesenüberprüfung im öffentlichen Gesundheitswesen
- Grundlagen für Führungsstärke im Alltag

- Deep Learning
- Python für alle
- Data Science
- Angewandte Datenwissenschaft mit Python
- Geschäftsgründungen
- Architektur mit der Google Cloud-Plattform
- Datenengineering in der Google Cloud-Plattform
- Von Excel bis MySQL
- Erweiterte maschinelles Lernen
- Mathematik für maschinelles Lernen
- Selbstfahrende Autos
- Blockchain-Revolution für das Unternehmen
- Unternehmensanalytik
- Excel-Kenntnisse für Beruf
- Digitales Marketing
- Statistische Analyse mit R im öffentlichen Gesundheitswesen
- Grundlagen der Immunologie
- Anatomie
- Innovationsmanagement und Design Thinking
- Grundlagen positiver Psychologie