About this Course
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Start instantly and learn at your own schedule.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Approx. 29 hours to complete

Suggested: 6 weeks, 8-10 hours per week...

English

Subtitles: English

Skills you will gain

Binary ClassificationData AnalysisMicrosoft ExcelLinear Regression

100% online

Start instantly and learn at your own schedule.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Approx. 29 hours to complete

Suggested: 6 weeks, 8-10 hours per week...

English

Subtitles: English

Learners taking this Course are

  • Controllers
  • Marketing Analysts
  • Data Analysts
  • Chief Financial Officers (CFOs)
  • Operations Analysts

Syllabus - What you will learn from this course

Week
1
1 hour to complete

About This Course

2 videos (Total 11 min), 2 readings
2 videos
Introduction to Mastering Data Analysis in Excel6m
2 readings
Specialization Overview10m
Course Overview10m
2 hours to complete

Excel Essentials for Beginners

8 videos (Total 52 min), 1 reading, 2 quizzes
8 videos
Basic Excel Vocabulary; Intro to Charting7m
Arithmetic in Excel2m
Functions on Individual Cells3m
Functions on a Set of Numbers10m
Functions on Ordered Pairs of Data8m
Sorting Data in Excel5m
Introduction to the Solver Plug-in8m
1 reading
Tips for Success10m
2 practice exercises
Excel Essentials Practice30m
Excel Essentials30m
Week
2
2 hours to complete

Binary Classification

6 videos (Total 46 min), 1 reading, 2 quizzes
6 videos
Bombers and Seagulls: Confusion Matrix8m
Costs Determine Optimal Threshold4m
Calculating Positive and Negative Predictive Values5m
How to Calculate the Area Under the ROC Curve11m
Binary Classification with More than One Input Variable7m
1 reading
Tips for Success10m
2 practice exercises
Binary Classification (practice)30m
Binary Classification (graded)45m
Week
3
2 hours to complete

Information Measures

7 videos (Total 42 min), 1 reading, 2 quizzes
7 videos
Probability and Entropy7m
Entropy of a Guessing Game7m
Dependence and Mutual Information3m
The Monty Hall Problem8m
Learning from One Coin Toss, Part 15m
Learning From One Coin Toss, Part 28m
1 reading
Tips for Success10m
2 practice exercises
Using the Information Gain Calculator Spreadsheet (practice)30m
Information Measures (graded)45m
Week
4
3 hours to complete

Linear Regression

11 videos (Total 73 min), 1 reading, 3 quizzes
11 videos
Introduction to Standardization4m
Standard Normal Probability Distribution in Excel7m
Calculating Probabilities from Z-scores4m
Central Limit Theorem3m
Algebra with Gaussians6m
Markowitz Portfolio Optimization12m
Standardizing x and y Coordinates for Linear Regression6m
Standardization Simplifies Linear Regression9m
Modeling Error in Linear Regression10m
Information Gain from Linear Regression5m
1 reading
Tips for Success10m
3 practice exercises
The Gaussian (practice)30m
Regression Models and PIG (practice)45m
Parametric Models for Regression (graded)45m
4.2
661 ReviewsChevron Right

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started a new career after completing these courses

22%

got a tangible career benefit from this course

Top reviews from Mastering Data Analysis in Excel

By JEOct 31st 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.

By NCDec 20th 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.

Instructors

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Jana Schaich Borg

Assistant Research Professor
Social Science Research Institute
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Daniel Egger

Executive in Residence and Director, Center for Quantitative Modeling
Pratt School of Engineering, Duke University

About Duke University

Duke University has about 13,000 undergraduate and graduate students and a world-class faculty helping to expand the frontiers of knowledge. The university has a strong commitment to applying knowledge in service to society, both near its North Carolina campus and around the world....

About the Excel to MySQL: Analytic Techniques for Business Specialization

Formulate data questions, explore and visualize large datasets, and inform strategic decisions. In this Specialization, you’ll learn to frame business challenges as data questions. You’ll use powerful tools and methods such as Excel, Tableau, and MySQL to analyze data, create forecasts and models, design visualizations, and communicate your insights. In the final Capstone Project, you’ll apply your skills to explore and justify improvements to a real-world business process. The Capstone Project focuses on optimizing revenues from residential property, and Airbnb, our Capstone’s official Sponsor, provided input on the project design. Airbnb is the world’s largest marketplace connecting property-owner hosts with travelers to facilitate short-term rental transactions. The top 10 Capstone completers each year will have the opportunity to present their work directly to senior data scientists at Airbnb live for feedback and discussion....
Excel to MySQL: Analytic Techniques for Business

Frequently Asked Questions

  • Once you enroll for a Certificate, you’ll have access to all videos, quizzes, and programming assignments (if applicable). Peer review assignments can only be submitted and reviewed once your session has begun. If you choose to explore the course without purchasing, you may not be able to access certain assignments.

  • When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.

  • No. Completion of a Coursera course does not earn you academic credit from Duke; therefore, Duke is not able to provide you with a university transcript. However, your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.

More questions? Visit the Learner Help Center.