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Roger D. Peng, PhD and Jeff Leek, PhD

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.

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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

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

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What's inside

Syllabus

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!

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Diseñado para quienes buscan mejorar sus habilidades en la gestión de análisis de datos
Aplicable a aquellos que desean liderar equipos de análisis de datos de manera efectiva
Beneficioso para quienes buscan adquirir una comprensión sólida del proceso de análisis de datos
Relevante para profesionales que buscan mejorar sus habilidades en la interpretación y comunicación de resultados de análisis de datos
Puede requerir conocimientos previos en análisis de datos
Impartido en una sola semana, lo que puede ser un plazo ajustado para algunos estudiantes

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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 Gestión del análisis de datos with these activities:
Explore the Coursera Data Science Specialization
Enhance your understanding of data analysis concepts by exploring the Coursera Data Science Specialization, which offers comprehensive courses on data science fundamentals.
Browse courses on Data Science
Show steps
  • Enroll in the Coursera Data Science Specialization.
  • Complete the introductory courses on data science principles and statistical methods.
  • Apply the concepts learned to real-world data analysis scenarios.
Review previous machine learning knowledge
Brush up on your existing machine learning knowledge to strengthen your foundation for this course.
Browse courses on Machine Learning
Show steps
  • Review notes and materials from previous machine learning courses
  • Solve practice problems and exercises
Create a data dictionary
Create a data dictionary to document the data elements used in your analysis, ensuring consistency and clarity.
Show steps
  • Identify and define the data elements used in your analysis.
  • Create a table or spreadsheet to organize the data dictionary.
  • Include the following information for each data element: name, description, data type, valid values, and any other relevant notes.
  • Review and validate the data dictionary with team members or stakeholders.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Participate in online discussion forums
Engage with classmates and instructors to clarify concepts, share insights, and expand your perspective.
Show steps
  • Review discussion topics and questions
  • Compose thoughtful responses and ask insightful questions
Work through guided tutorials on data analysis techniques
Solidify your understanding of key data analysis techniques by following structured tutorials.
Browse courses on Data Analysis
Show steps
  • Identify relevant tutorials on Coursera or other platforms
  • Complete the tutorials step-by-step
Mentor fellow students in the course
Deepen your understanding by explaining concepts and providing guidance to other students.
Browse courses on Mentoring
Show steps
  • Identify opportunities to assist classmates
  • Offer support and guidance on course material
Build a simple data analysis project
Gain practical experience by applying your knowledge to a real-world data analysis project.
Browse courses on Data Exploration
Show steps
  • Define a project scope and objective
  • Collect and clean the data
  • Explore and analyze the data
  • Visualize and interpret the results

Career center

Learners who complete Gestión del análisis de datos will develop knowledge and skills that may be useful to these careers:
Business Analyst
Business analysts use data to help businesses improve their operations. They may work on projects that involve analyzing data to identify areas for improvement, developing and implementing new strategies, and evaluating the results of those strategies. This course can help you develop the skills you need to be a business analyst, including how to manage the data analysis process from start to finish. You will also learn how to interpret the results of your analysis and communicate them to others. This course is a great option if you are interested in a career in business analysis.
Data Analyst
Data analysts use data to help organizations make better decisions. They may work on projects that involve collecting, cleaning, and analyzing data to identify trends and patterns. This course can help you develop the skills you need to be a data analyst, including how to manage the data analysis process from start to finish. You will also learn how to interpret the results of your analysis and communicate them to others. This course is a great option if you are interested in a career in data analysis.
Data Scientist
Data scientists use data to solve complex problems. They may work on projects that involve developing new algorithms, building models, and analyzing data to identify trends and patterns. This course can help you develop the skills you need to be a data scientist, including how to manage the data analysis process from start to finish. You will also learn how to interpret the results of your analysis and communicate them to others. This course is a great option if you are interested in a career in data science.
Statistician
Statisticians use data to design and conduct surveys, experiments, and other studies. They may work on projects that involve collecting, cleaning, and analyzing data to identify trends and patterns. This course can help you develop the skills you need to be a statistician, including how to manage the data analysis process from start to finish. You will also learn how to interpret the results of your analysis and communicate them to others. This course is a great option if you are interested in a career in statistics.
Financial Analyst
Financial analysts use data to evaluate the financial performance of companies and make recommendations about investments. They may work on projects that involve analyzing financial data, developing financial models, and making investment decisions. This course can help you develop the skills you need to be a financial analyst, including how to manage the data analysis process from start to finish. You will also learn how to interpret the results of your analysis and communicate them to others. This course is a great option if you are interested in a career in financial analysis.
Operations Research Analyst
Operations research analysts use data to help organizations improve their operations. They may work on projects that involve analyzing data to identify areas for improvement, developing and implementing new strategies, and evaluating the results of those strategies. This course can help you develop the skills you need to be an operations research analyst, including how to manage the data analysis process from start to finish. You will also learn how to interpret the results of your analysis and communicate them to others. This course is a great option if you are interested in a career in operations research.
Market Researcher
Market researchers use data to understand consumer behavior. They may work on projects that involve conducting surveys, focus groups, and other research methods to collect data about consumer needs and wants. This course can help you develop the skills you need to be a market researcher, including how to manage the data analysis process from start to finish. You will also learn how to interpret the results of your analysis and communicate them to others. This course is a great option if you are interested in a career in market research.
Data Engineer
Data engineers design and build systems to store and manage data. They may work on projects that involve developing and implementing data pipelines, creating data warehouses, and managing data quality. This course can help you develop the skills you need to be a data engineer, including how to manage the data analysis process from start to finish. You will also learn how to interpret the results of your analysis and communicate them to others. This course is a great option if you are interested in a career in data engineering.
Software Engineer
Software engineers design, develop, and maintain software systems. They may work on projects that involve developing new software applications, fixing bugs, and implementing new features. This course can help you develop the skills you need to be a software engineer, including how to manage the data analysis process from start to finish. You will also learn how to interpret the results of your analysis and communicate them to others. This course is a great option if you are interested in a career in software engineering.
Product Manager
Product managers oversee the development and launch of new products. They may work on projects that involve researching customer needs, developing product specifications, and managing the product development process. This course can help you develop the skills you need to be a product manager, including how to manage the data analysis process from start to finish. You will also learn how to interpret the results of your analysis and communicate them to others. This course is a great option if you are interested in a career in product management.
Project Manager
Project managers plan and execute projects. They may work on projects that involve developing project plans, managing project budgets, and tracking project progress. This course can help you develop the skills you need to be a project manager, including how to manage the data analysis process from start to finish. You will also learn how to interpret the results of your analysis and communicate them to others. This course is a great option if you are interested in a career in project management.
Management Consultant
Management consultants help organizations improve their performance. They may work on projects that involve analyzing organizational structures, identifying areas for improvement, and developing and implementing new strategies. This course can help you develop the skills you need to be a management consultant, including how to manage the data analysis process from start to finish. You will also learn how to interpret the results of your analysis and communicate them to others. This course is a great option if you are interested in a career in management consulting.
Business Consultant
Business consultants help businesses improve their operations. They may work on projects that involve analyzing business processes, identifying areas for improvement, and developing and implementing new solutions. This course can help you develop the skills you need to be a business consultant, including how to manage the data analysis process from start to finish. You will also learn how to interpret the results of your analysis and communicate them to others. This course is a great option if you are interested in a career in business consulting.
Data Protection Officer
Data protection officers oversee the protection of personal data. They may work on projects that involve developing and implementing data protection policies, conducting data privacy audits, and responding to data breaches. This course can help you develop the skills you need to be a data protection officer, including how to manage the data analysis process from start to finish. You will also learn how to interpret the results of your analysis and communicate them to others. This course is a great option if you are interested in a career in data protection.
Data Governance Analyst
Data governance analysts develop and implement policies and procedures to ensure the quality and integrity of data. They may work on projects that involve creating data governance frameworks, developing data quality metrics, and monitoring data usage. This course can help you develop the skills you need to be a data governance analyst, including how to manage the data analysis process from start to finish. You will also learn how to interpret the results of your analysis and communicate them to others. This course is a great option if you are interested in a career in data governance.

Reading list

We've selected 11 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Gestión del análisis de datos.
Provides a practical introduction to data science for business, and valuable resource for anyone who wants to learn more about the subject.
Provides a comprehensive overview of data science, and valuable reference for anyone who wants to learn more about the subject.
Provides a practical introduction to natural language processing using the Python programming language, and useful resource for anyone who wants to learn more about the subject.
Provides a practical introduction to data analysis and graphics using the R programming language, and useful resource for anyone who wants to learn more about data analysis.
Provides a gentle introduction to statistical learning, and good starting point for anyone who wants to learn more about the subject.
Provides a gentle introduction to machine learning, and good starting point for anyone who wants to learn more about the subject.

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