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#### 100% online

Start instantly and learn at your own 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.

#### Approx. 29 hours to complete

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

#### English

Subtitles: English

### Syllabus - What you will learn from this course

Week
1
1 hour to complete

2 videos (Total 11 min), 2 readings
2 videos
Introduction to Mastering Data Analysis in Excel6m
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
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
Tips for Success10m
2 practice exercises
Binary Classification (practice)30m
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
Tips for Success10m
2 practice exercises
Using the Information Gain Calculator Spreadsheet (practice)30m
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
Tips for Success10m
3 practice exercises
The Gaussian (practice)30m
Regression Models and PIG (practice)45m
4.2
657 Reviews

## 25%

started a new career after completing these courses

## 23%

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

### Jana Schaich Borg

Assistant Research Professor
Social Science Research Institute

### Daniel Egger

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