Coursera

Gestión del análisis de datos (Coursera)

Offered by Johns Hopkins University,

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.

Class Deals by MOOC List - Click here and see Coursera's Active Discounts, Deals, and Promo Codes.

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….

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

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

Syllabus

WEEK 1
Gestión del análisis de datos
¡Te damos la bienvenida a Gestión del análisis de datos! Este curso consiste en un módulo diseñado para realizarse en una semana. El curso funciona mejor si avanzas con el material en el orden en el que se presenta. Cada clase cuenta con videos y material de lectura que aportan información adicional a la clase. Me entusiasma tenerte en la clase y espero recibir tus contribuciones para la comunidad de estudiantes. Si tienes preguntas sobre el contenido del curso, publícalas en el foro para obtener ayuda de otras personas de la comunidad del curso. Si tienes problemas técnicos con la plataforma de Coursera, visita el Centro de ayuda para estudiantes. ¡Buena suerte en el inicio del curso y espero que lo disfrutes!

Go to Class

MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

Coursera

University of Minnesota

Interprofessional Healthcare Informatics (Coursera)

Statistics & Data Analysis Data Science

Interprofessional Healthcare Informatics is a graduate-level, hands-on interactive exploration of real informatics tools and techniques offered by the University of Minnesota and the University of Minnesota's National Center for Interprofessional Practice and Education. We will be incorporating technology-enabled educational innovations to bring the subject matter to life. Over the 10 modules, we will create a vital online learning community and a working healthcare informatics network.

Sep 14th 2026

5-12 Weeks

Healthcare Informatics Telehealth

Coursera

Rutgers University

Business Intelligence and Competitive Analysis (Coursera)

Business

By the end of 2019, it is clear that American Airlines (AAL), the world’s largest airline group, is in trouble. With the growth rate of its stock price ranked at the bottom of all major US airlines and going in the opposite direction from the SP500 index, AAL needs to find out what is going on, and how to turn the company and its stock price around.

Sep 28th 2026

4 Weeks

Data Analysis Business Intelligence Benchmarking

Coursera

Johns Hopkins University

Analysis and Interpretation of Large-Scale Programs (Coursera)

Health & Society

This course is for implementers, managers, funders, and evaluators of health programs targeting women and children in low- and middle-income countries as well as undergraduate and graduate students in health-related fields. Course participants will learn how to 1) transform quantitative components of an evaluation measurement plan into a sound analysis plan to address the evaluation questions, 2) conduct quantitative analyses of primary or secondary surveys or other available data, 3) interpret the meaning of the analysis results and their implications, and 4) disseminate the evaluation findings to program implementers, local and global stakeholders.

Sep 21st 2026

5-12 Weeks

Analysis Data Analysis Evaluation

Coursera

Columbia University

Causal Inference (Coursera)

Statistics & Data Analysis Data Science

This course offers a rigorous mathematical survey of causal inference at the Master’s level. Inferences about causation are of great importance in science, medicine, policy, and business. This course provides an introduction to the statistical literature on causal inference that has emerged in the last 35-40 years and that has revolutionized the way in which statisticians and applied researchers in many disciplines use data to make inferences about causal relationships.

Sep 21st 2026

5-12 Weeks

Statistics Regression Inference

Coursera

University of California, Santa Cruz

Bayesian Statistics: Mixture Models (Coursera)

Statistics & Data Analysis

Bayesian Statistics: Mixture Models introduces you to an important class of statistical models. The course is organized in five modules, each of which contains lecture videos, short quizzes, background reading, discussion prompts, and one or more peer-reviewed assignments. Statistics is best learned by doing it, not just watching a video, so the course is structured to help you learn through application.

Sep 21st 2026

5-12 Weeks

Statistics Data Analysis Statistical Models

Coursera

University of Edinburgh

Football: More than a Game (Coursera)

Education

Explore the world of football (soccer), the money, the rivalries, the trends, the past, the present, the men’s game, the women's game and the real issues. Whether you love it, hate it or try to ignore it – join us as we go behind the scenes to examine why football is more than just a game.

Sep 21st 2026

5-12 Weeks

Sports Data Analysis Football

Coursera

Illinois Tech

Introduction to Time Series (Coursera)

Statistics & Data Analysis Data Science

This course introduces basic time series analysis and forecasting methods. Topics include stationary processes, ARMA models, modeling and forecasting using ARMA models, nonstationary and seasonal time series models, state-space models, and forecasting techniques.

Sep 28th 2026

5-12 Weeks

Data Analysis Statistical Analysis Forecasting

Coursera

Eindhoven University of Technology

Process Mining: Data science in Action (Coursera)

Statistics & Data Analysis Data Science

Process mining is the missing link between model-based process analysis and data-oriented analysis techniques. Through concrete data sets and easy to use software the course provides data science knowledge that can be applied directly to analyze and improve processes in a variety of domains. Data science is the profession of the future, because organizations that are unable to use (big) data in a smart way will not survive. It is not sufficient to focus on data storage and data analysis. The data scientist also needs to relate data to process analysis.

Sep 21st 2026

5-12 Weeks

Business Data Mining Data Analysis

Coursera

University of London,University College London,CORE

Doing Economics: Measuring Climate Change (Coursera)

Statistics & Data Analysis Data Science

This course will give you practical experience in working with real-world data, with applications to important policy issues in today’s society. Each week, you will learn specific data handling skills in Excel and use these techniques to analyse climate change data, with appropriate readings to provide background information on the data you are working with. You will also learn about the consequences of climate change and how governments can address this issue.

Sep 21st 2026

4 Weeks

Economics Climate Change Data Analysis

Coursera

Johns Hopkins University

Assessing Health Program Delivery (Coursera)

Health & Society

This course provides in-depth knowledge about implementation strength, quality of care, and service utilization, which are essential components of health program delivery. This course is primarily aimed at implementers, managers, funders, and evaluators of health programs in low- and middle-income settings (LMISs) targeting women and children, and undergraduate and graduate students in health-related fields.

Sep 21st 2026

5-12 Weeks

Health Data Analysis Quality Control

Coursera

University of Illinois at Urbana-Champaign

Empathy, Data, and Risk (Coursera)

Business

Risk Management and Innovation develops your ability to conduct empathy-driven and data-driven analysis in the domain of risk management. This course introduces empathy as a professional competency. It explains the psychological processes that inhibit empathy-building and the processes that determine how organizational stakeholders respond to risk.

Sep 28th 2026

4 Weeks

Risk Management Data Analysis Brainstorming

Coursera

Universidad de los Andes

Fundamentos de estadística aplicada (Coursera)

Statistics & Data Analysis CS: Programming

El curso está orientado a profesionales de diferentes campos, que estén interesados en adquirir conceptos fundamentales de estadística aplicada. El contenido del curso será particularmente útil para profesionales que estén interesados en adelantar estudios de postgrado en ingeniería, administración o economía, entre otras profesiones, y que requieran de una adecuada fundamentación en estadística.

Sep 28th 2026

4 Weeks

Statistics Data Analysis Linear Regression