Coursera

Gestión del análisis de datos (Coursera)

Offered by Johns Hopkins University,
Gestión del análisis de datos (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.

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….

  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

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

Data Visualization for Genome Biology (Coursera) Coursera
University of Toronto

Data Visualization for Genome Biology (Coursera)

Statistics & Data Analysis Data Science

The past decade has seen a vast increase in the amount of data available to biologists, driven by the dramatic decrease in cost and concomitant rise in throughput of various next-generation sequencing technologies, such that a project unimaginable 10 years ago was recently proposed, the Earth BioGenomes Project, which aims to sequence the genomes of all eukaryotic species on the planet within the next 10 years. So while data are no longer limiting, accessing and interpreting those data has become a bottleneck. One important aspect of interpreting data is data visualization. This course introduces theoretical topics in data visualization through mini-lectures, and applied aspects in the form of hands-on labs.

Sep 21st 2026
5-12 Weeks
Biology Genome Data Analysis
Details
Reproducible Templates for Analysis and Dissemination (Coursera) Coursera
Emory University

Reproducible Templates for Analysis and Dissemination (Coursera)

Statistics & Data Analysis

This course will assist you with recreating work that a previous coworker completed, revisiting a project you abandoned some time ago, or simply reproducing a document with a consistent format and workflow. Incomplete information about how the work was done, where the files are, and which is the most recent version can give rise to many complications.

Sep 14th 2026
5-12 Weeks
Analysis Dynamic Data Analysis
Details
Big Data Analysis with Scala and Spark (Coursera) Coursera
École Polytechnique Fédérale de Lausanne

Big Data Analysis with Scala and Spark (Coursera)

CS: Theory CS: Programming

Manipulating big data distributed over a cluster using functional concepts is rampant in industry, and is arguably one of the first widespread industrial uses of functional ideas. This is evidenced by the popularity of MapReduce and Hadoop, and most recently Apache Spark, a fast, in-memory distributed collections framework written in Scala. In this course, we'll see how the data parallel paradigm can be extended to the distributed case, using Spark throughout.

Sep 14th 2026
4 Weeks
Programming Algorithms SQL
Details
Business Statistics and Analysis Capstone (Coursera) Coursera
Rice University

Business Statistics and Analysis Capstone (Coursera)

Statistics & Data Analysis Data Science

The Business Statistics and Analysis Capstone is an opportunity to apply various skills developed across the four courses in the specialization to a real life data. The Capstone, in collaboration with an industry partner uses publicly available ‘Housing Data’ to pose various questions typically a client would pose to a data analyst. Your job is to do the relevant statistical analysis and report your findings in response to the questions in a way that anyone can understand.

Sep 14th 2026
4 Weeks
Data Analysis Microsoft Excel Business Analysis
Details
Football: More than a Game (Coursera) 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
Details
Doing Economics: Measuring Climate Change (Coursera) 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
Details
Fundamentals of Data Analysis in Excel (Coursera) Coursera
Corporate Finance Institute

Fundamentals of Data Analysis in Excel (Coursera)

Economics & Finance Statistics & Data Analysis

Excel is the most widely used analysis tool in the world and a great starting point for diving into data analysis. In this course, you’ll apply Excel’s native tools to structure your data into spreadsheets and tables. You’ll then analyze and produce insights from that data using pivot tables. Finally, you’ll visualize those insights by building a dashboard in Excel. You’ll apply these skills using modern functionality like dynamic array formulas, linked data types, and Ideas in Excel. You’ll work hands-on with real-world scenarios, using datasets pulled from financial statements and retail sales.

Sep 21st 2026
5-12 Weeks
Excel Data Analysis Microsoft Excel
Details
Principles of fMRI 1 (Coursera) Coursera
Johns Hopkins University

Principles of fMRI 1 (Coursera)

Statistics & Data Analysis

Functional Magnetic Resonance Imaging (fMRI) is the most widely used technique for investigating the living, functioning human brain as people perform tasks and experience mental states. It is a convergence point for multidisciplinary work from many disciplines. Psychologists, statisticians, physicists, computer scientists, neuroscientists, medical researchers, behavioral scientists, engineers, public health researchers, biologists, and others are coming together to advance our understanding of the human mind and brain. This course covers the design, acquisition, and analysis of Functional Magnetic Resonance Imaging (fMRI) data, including psychological inference, MR Physics, K Space, experimental design, pre-processing of fMRI data, as well as Generalized Linear Models (GLM’s).

Sep 14th 2026
4 Weeks
Medicine Statistics Data Analysis
Details
Data Science for Business Innovation (Coursera) Coursera
Politecnico di Milano,EIT Digital

Data Science for Business Innovation (Coursera)

Statistics & Data Analysis Data Science

The course is a compendium of the must-have expertise in data science for executive and middle-management to foster data-driven innovation. It consists of introductory lectures spanning big data, machine learning, data valorization and communication. Topics cover the essential concepts and intuitions on data needs, data analysis, machine learning methods, respective pros and cons, and practical applicability issues.

Sep 21st 2026
4 Weeks
NoSQL Machine Learning Big Data
Details
Assessing Health Program Delivery (Coursera) 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
Details