This course is part of the Executive Data Science Specialization

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Jeff Leek, PhD +2 more instructors

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Executive Data Science SpecializationJohns Hopkins University

About this Course

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This one-week course describes the process of analyzing data and how to manage that process. We describe the iterative nature of data analysis and the role of stating a sharp question, exploratory data analysis, inference, formal statistical modeling, interpretation, and communication. In addition, we will describe how to direct analytic activities within a team and to drive the data analysis process towards coherent and useful results. 
This is a focused course designed to rapidly get you up to speed on the process of data analysis and how it can be managed. Our goal was to make this as convenient as possible for you without sacrificing any essential content. We've left the technical information aside so that you can focus on managing your team and moving it forward.

After completing this course you will know how to….

1. Describe the basic data analysis iteration
2. Identify different types of questions and translate them to specific datasets
3. Describe different types of data pulls
4. Explore datasets to determine if data are appropriate for a given question
5. Direct model building efforts in common data analyses
6. Interpret the results from common data analyses
7. Integrate statistical findings to form coherent data analysis presentations

Commitment: 1 week of study, 4-6 hours

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Earn a Certificate upon completion

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Coursera Labs

Includes hands on learning projects.

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Course 3 of 5 in the

Executive Data Science Specialization

Approx. 8 hours to complete

English

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What you will learn

Differentiate between various types of data pulls
Describe the basic data analysis iteration
Explore datasets to determine if data is appropriate for a project
Use statistical findings to create convincing data analysis presentations

Skills you will gain

Data Analysis
Communication
Interpretation
Exploratory Data Analysis

Flexible deadlines

Reset deadlines in accordance to your schedule.

Shareable Certificate

Earn a Certificate upon completion

100% online

Start instantly and learn at your own schedule.

Coursera Labs

Includes hands on learning projects.

Learn more about Coursera Labs

Course 3 of 5 in the

Executive Data Science Specialization

Approx. 8 hours to complete

English

Could your company benefit from training employees on in-demand skills?

Try Coursera for Business

Instructors

Instructor rating

4.62/5 (271 Ratings)

Offered by

Johns Hopkins University

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Syllabus - What you will learn from this course

Content Rating95%(7,874 ratings)

Week1

Week 1

9 hours to complete

Managing Data Analysis

Welcome to Managing Data Analysis! This course is one module, intended to be taken in one week. The course works best if you follow along with the material in the order it is presented. Each lecture consists of videos and reading materials that expand on the lecture. I'm excited to have you in the class and look forward to your contributions to the learning community. If you have questions about course content, please post them in the forums to get help from others in the course community. For technical problems with the Coursera platform, visit the Learner Help Center. Good luck as you get started, and I hope you enjoy the course!

9 hours to complete

19 videos (Total 144 min), 17 readings, 7 quizzes

19 videos

What this Course is About2mData Analysis Iteration8mStages of Data Analysis1mSix Types of Questions6mCharacteristics of a Good Question6mExploratory Data Analysis Goals & Expectations11mUsing Statistical Models to Explore Your Data (Part 1)13mUsing Statistical Models to Explore Your Data (Part 2)5mExploratory Data Analysis: When to Stop6mMaking Inferences from Data: Introduction5mPopulations Come in Many Forms4mInference: What Can Go Wrong7mGeneral Framework8mAssociational Analyses10mPrediction Analyses10mInference vs. Prediction12mInterpreting Your Results10mRoutine Communication in Data Analysis6mMaking a Data Analysis Presentation5m

17 readings

Pre-Course Survey10mCourse Textbook: The Art of Data Science10mConversations on Data Science10mData Science as Art10mEpicycles of Analysis10mSix Types of Questions10mCharacteristics of a Good Question10mEDA Check List10mAssessing a Distribution10mAssessing Linear Relationships10mExploratory Data Analysis: When Do We Stop?10mFactors Affecting the Quality of Inference10mA Note on Populations10mInference vs. Prediction10mInterpreting Your Results10mRoutine Communication10mPost-Course Survey10m

7 practice exercises

Data Analysis Iteration30mStating and Refining the Question30mExploratory Data Analysis30mInference30mFormal Modeling, Inference vs. Prediction30mInterpretation30mCommunication30m

Reviews

4.6

464 reviews

5 stars
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4 stars
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3 stars
5.66%
2 stars
1.06%
1 star
0.88%

HIGHLIGHTS

"Helpful quizzes" in 3 reviews

"Well-organized content" in 24 reviews

TOP REVIEWS FROM MANAGING DATA ANALYSIS

by MMJan 20, 2017

Overall, the course is well structured. The topics covered are very significant in my day to day operations. I can apply everything I learnt from this course with greater understandability.

by KLApr 16, 2018

Great course for those who want a comprehensive overview of an analysis from A-Z. The professor explains each aspect in perfect detail, gives easy to understand examples, very comprehensive.

by JWMay 29, 2016

This is a challenging and excellent course ! This course really tunes you into the nuances of Data Analysis.

I would recommend this course for anyone in Data Management.

by SKOct 10, 2015

Good course for the fundamentals of making sure data analysis is done correctly. These are good things to keep in mind when you are managing a data science team.

View all reviews

About the Executive Data Science Specialization

Assemble the right team, ask the right questions, and avoid the mistakes that derail data science projects.

In four intensive courses, you will learn what you need to know to begin assembling and leading a data science enterprise, even if you have never worked in data science before. You’ll get a crash course in data science so that you’ll be conversant in the field and understand your role as a leader. You’ll also learn how to recruit, assemble, evaluate, and develop a team with complementary skill sets and roles. You’ll learn the structure of the data science pipeline, the goals of each stage, and how to keep your team on target throughout. Finally, you’ll learn some down-to-earth practical skills that will help you overcome the common challenges that frequently derail data science projects.

Frequently Asked Questions

When will I have access to the lectures and assignments?
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.
The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
What will I get if I subscribe to this Specialization?
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.
Is financial aid available?
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

More questions? Visit the Learner Help Center.

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Managing Data Analysis

About this Course

What you will learn

Skills you will gain

Instructors

Jeff Leek, PhD

Brian Caffo, PhD

Roger D. Peng, PhD

Offered by

Johns Hopkins University

Syllabus - What you will learn from this course

Managing Data Analysis

Reviews

HIGHLIGHTS

TOP REVIEWS FROM MANAGING DATA ANALYSIS

About the Executive Data Science Specialization

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Managing Data Analysis

About this Course

What you will learn

Skills you will gain

Instructors

Jeff Leek, PhD

Brian Caffo, PhD

Roger D. Peng, PhD

Offered by

Johns Hopkins University

Syllabus - What you will learn from this course

Managing Data Analysis

Reviews

HIGHLIGHTS

TOP REVIEWS FROM MANAGING DATA ANALYSIS

About the Executive Data Science Specialization

Frequently Asked Questions

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