Managing Data Analysis from Coursera

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

Course cover image by fdecomite. Creative Commons BY https://flic.kr/p/4HjmvD

What's inside

Syllabus

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!

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Delves into the iterative nature of data analysis, which helps learners navigate complex data problems

Appropriate for learners who want to enhance data analysis team leadership skills

Provides guidance on directing analytic activities, a valuable skill for data analysts and project managers

Taught by renowned data science experts Peng, Leek, and Caffo, ensuring high-quality instruction

Meets a common need for professionals seeking to improve their data analysis management abilities

The focus solely on managing data analysis may limit the scope for learners seeking a broader understanding of data science

Reviews summary

Data analysis for data science managers

According to students, Managing Data Analysis is the third course in the Executive Data Science specialization from Johns Hopkins University. The one-week course prepares Data Science Team Managers and provides a high-level view of the data analysis, from formulating questions to communicating results. Grading is based on several short comprehension quizzes.

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Managing Data Analysis with these activities:

Organize and review course notes, assignments, and practice exercises

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Stay organized and enhance your understanding by reviewing and organizing course materials regularly.

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Collect and organize your course notes, assignments, and practice exercises.
Review the materials periodically to reinforce your understanding.

Explore online tutorials on data visualization techniques

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Enhance your data visualization skills by exploring online tutorials and practicing different techniques.

Browse courses on Data Visualization

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Identify online tutorials that cover various data visualization techniques.
Follow the tutorials and practice creating different types of data visualizations.

Solve data analysis practice problems

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Reinforce your understanding of data analysis concepts by solving practice problems.

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Find online platforms or textbooks that provide data analysis practice problems.
Solve the practice problems and compare your solutions with provided answers or discuss them with peers.

Four other activities

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Join a study group to discuss course materials

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Engage with peers to discuss course materials and reinforce your understanding through collaborative learning.

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Find a study group or form one with classmates.
Meet regularly to discuss assigned topics or practice exercises.

Develop a data analysis plan for a real-world business problem

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Apply the principles of data analysis to solve a practical business problem and demonstrate your understanding of the data analysis process.

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Identify a business problem and gather relevant data.
Develop a data analysis plan outlining your approach, methods, and expected outcomes.
Execute the data analysis plan and present your findings.

Start a data analysis project using a real-world dataset

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Apply your data analysis skills to a real-world project and experience the entire data analysis workflow from data collection to presentation of insights.

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Identify a real-world dataset and define a specific project goal.
Clean and prepare the data for analysis.
Develop and apply data analysis techniques to extract insights from the data.
Present your findings and insights clearly and effectively.

Write a blog post or article on a data analysis topic

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Deepen your understanding of data analysis principles by writing a piece of content that explains or explores a specific topic.

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Choose a specific data analysis topic that you want to write about.
Research and gather information on the topic.
Write a well-structured blog post or article that explains the topic clearly.

Career center

Learners who complete Managing Data Analysis will develop knowledge and skills that may be useful to these careers:

Data Analyst

Data Analysts are responsible for collecting, cleaning, and analyzing data to identify trends and patterns. They use their findings to make recommendations to businesses on how to improve their operations. This course can help Data Analysts develop the skills they need to manage the data analysis process and drive it towards coherent and useful results. The course covers topics such as stating a sharp question, exploratory data analysis, inference, formal statistical modeling, interpretation, and communication.

See salaries and explore the career path for Data Analyst

Data Scientist

Data Scientists use their knowledge of math, statistics, and computer science to extract insights from data. They develop models to predict future outcomes and help businesses make better decisions. This course can help Data Scientists develop the skills they need to manage the data analysis process and drive it towards coherent and useful results. The course covers topics such as stating a sharp question, exploratory data analysis, inference, formal statistical modeling, interpretation, and communication.

See salaries and explore the career path for Data Scientist

Statistician

Statisticians collect, analyze, interpret, and present data. They use their findings to help businesses make informed decisions. This course can help Statisticians develop the skills they need to manage the data analysis process and drive it towards coherent and useful results. The course covers topics such as stating a sharp question, exploratory data analysis, inference, formal statistical modeling, interpretation, and communication.

See salaries and explore the career path for Statistician

Business Analyst

Business Analysts use their knowledge of business and data analysis to identify opportunities for improvement and develop solutions. This course can help Business Analysts develop the skills they need to manage the data analysis process and drive it towards coherent and useful results. The course covers topics such as stating a sharp question, exploratory data analysis, inference, formal statistical modeling, interpretation, and communication.

See salaries and explore the career path for Business Analyst

Operations Research Analyst

Operations Research Analysts use mathematical and analytical techniques to solve business problems. They develop models to optimize operations and improve efficiency. This course can help Operations Research Analysts develop the skills they need to manage the data analysis process and drive it towards coherent and useful results. The course covers topics such as stating a sharp question, exploratory data analysis, inference, formal statistical modeling, interpretation, and communication.

See salaries and explore the career path for Operations Research Analyst

Market Research Analyst

Market Research Analysts collect, analyze, and interpret data to understand consumer behavior and market trends. This course can help Market Research Analysts develop the skills they need to manage the data analysis process and drive it towards coherent and useful results. The course covers topics such as stating a sharp question, exploratory data analysis, inference, formal statistical modeling, interpretation, and communication.

See salaries and explore the career path for Market Research Analyst

Financial Analyst

Financial Analysts use their knowledge of finance and data analysis to make investment recommendations. This course can help Financial Analysts develop the skills they need to manage the data analysis process and drive it towards coherent and useful results. The course covers topics such as stating a sharp question, exploratory data analysis, inference, formal statistical modeling, interpretation, and communication.

See salaries and explore the career path for Financial Analyst

Epidemiologist

Epidemiologists investigate the causes and spread of diseases. They use their findings to develop public health policies and interventions. This course can help Epidemiologists develop the skills they need to manage the data analysis process and drive it towards coherent and useful results. The course covers topics such as stating a sharp question, exploratory data analysis, inference, formal statistical modeling, interpretation, and communication.

See salaries and explore the career path for Epidemiologist

Actuary

Actuaries use mathematical and statistical techniques to assess risk and uncertainty. They develop models to calculate premiums and benefits for insurance policies. This course can help Actuaries develop the skills they need to manage the data analysis process and drive it towards coherent and useful results. The course covers topics such as stating a sharp question, exploratory data analysis, inference, formal statistical modeling, interpretation, and communication.

See salaries and explore the career path for Actuary

Biostatistician

Biostatisticians use statistical methods to design and analyze studies in the biomedical sciences. This course can help Biostatisticians develop the skills they need to manage the data analysis process and drive it towards coherent and useful results. The course covers topics such as stating a sharp question, exploratory data analysis, inference, formal statistical modeling, interpretation, and communication.

See salaries and explore the career path for Biostatistician

Data Engineer

Data Engineers design and build the infrastructure that stores and processes data. This course can help Data Engineers develop the skills they need to manage the data analysis process and drive it towards coherent and useful results. The course covers topics such as stating a sharp question, exploratory data analysis, inference, formal statistical modeling, interpretation, and communication.

See salaries and explore the career path for Data Engineer

Software Engineer

Software Engineers develop and maintain software applications. This course can help Software Engineers develop the skills they need to manage the data analysis process and drive it towards coherent and useful results. The course covers topics such as stating a sharp question, exploratory data analysis, inference, formal statistical modeling, interpretation, and communication.

See salaries and explore the career path for Software Engineer

Database Administrator

Database Administrators manage and maintain databases. This course can help Database Administrators develop the skills they need to manage the data analysis process and drive it towards coherent and useful results. The course covers topics such as stating a sharp question, exploratory data analysis, inference, formal statistical modeling, interpretation, and communication.

See salaries and explore the career path for Database Administrator

Information Security Analyst

Information Security Analysts protect computer systems and networks from unauthorized access. This course may help Information Security Analysts develop the skills they need to manage the data analysis process and drive it towards coherent and useful results. The course covers topics such as stating a sharp question, exploratory data analysis, inference, formal statistical modeling, interpretation, and communication.

See salaries and explore the career path for Information Security Analyst

Computer Systems Analyst

Computer Systems Analysts design and implement computer systems. This course may help Computer Systems Analysts develop the skills they need to manage the data analysis process and drive it towards coherent and useful results. The course covers topics such as stating a sharp question, exploratory data analysis, inference, formal statistical modeling, interpretation, and communication.

See salaries and explore the career path for Computer Systems Analyst