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Opiniones y comentarios de aprendices correspondientes a Data – What It Is, What We Can Do With It por parte de Universidad Johns Hopkins

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This course introduces students to data and statistics. By the end of the course, students should be able to interpret descriptive statistics, causal analyses and visualizations to draw meaningful insights. The course first introduces a framework for thinking about the various purposes of statistical analysis. We’ll talk about how analysts use data for descriptive, causal and predictive inference. We’ll then cover how to develop a research study for causal analysis, compute and interpret descriptive statistics and design effective visualizations. The course will help you to become a thoughtful and critical consumer of analytics. If you are in a field that increasingly relies on data-driven decision making, but you feel unequipped to interpret and evaluate data, this course will help you develop these fundamental tools of data literacy....

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1 - 25 de 31 revisiones para Data – What It Is, What We Can Do With It

por Cecil C L

14 de may. de 2021

Very well! The two courses that I studied for this Specialization have really been a good reason to continue.

The voice of Mrs. Instructor and the explanation of each topic have been effective in teaching this subject.

Only many more exercises and examples are missing to experience our applications for ourselves. I hope more practice in the updates of the courses, if they exist.

Thank you!

por Steve T

30 de mar. de 2021

The quiz and test questions were really well thought out and required application of the knowledge presented in the course. They re-enforced the learning. The course definitely help shaped my view of Data Literacy. I like the support articles. Great sources for reference and further analysis. Thanks 100% enjoyed the class

por Jason P C

18 de dic. de 2020

I came in trying to get a better explanation of statistical concepts and I was not disappointed. This course demystifies statistics by providing clear and simple explanations. The use of relevant examples makes anyone be interested in using statistics to get a better view of the world.

por Jeffrey G

21 de dic. de 2020

This is a very well done course that does an excellent job at explaining concepts of scientific theory, basic data analysis, and visualization. These are concepts that I would absolutely use to introduce the subject to others in my organization.

por Elijah

7 de may. de 2021

This course is truly insightful when it comes to data analysis and visualization. I have learnt so much from the course. I hope others also get to experience the kind of joy that comes with this particular course.

por Nayyab A

5 de abr. de 2021

This course explains basic statistical data analysis and research methodology in a really easy, understandable, relatable, and intuitive manner.

por ABEL P G

14 de dic. de 2021

Contiene aspectos teóricos muy importantes, y es un buen inicio para el uso de herramientas de visualización de datos.

por vignaux

26 de jul. de 2021

Great introduction about how to understand and use Data for analysis

por Matthias G

6 de jun. de 2022

Nice and well paced review of statistical basics.

por The U L - T

14 de mar. de 2022

Very educational and thought-provoking.


16 de mar. de 2022

Explicit, detailed, interesting...

por Mellissa E

6 de mar. de 2022

Very challenging, in a good way!

por Alicia L Y

6 de abr. de 2021

Excellent introductory course!

por Cristhian C

2 de may. de 2022

Thank you for this course.

por Atul P

24 de jun. de 2021

Short and sweet.

por Jenwit C

27 de dic. de 2020

Good to start

por Raveendra N

24 de mar. de 2023

Good inputs

por Emily M

31 de ago. de 2022

Information was well presented and easy to understand. Only reason for not giving 5 stars is because many of the quizzes and at least one of the final assessments had glitches in their programming where either none of the selected answers were counting as correct for certain questions. The final assessment includes a question where the correct answer choice is "the first two answer choices" but because the answer choice order randomized, the statement "the first two" was not always correct.

por Elizabeth W

29 de mar. de 2022

This course provides a broad introduction to statistical methods and visualisations. Whilst there is not obligatory practical work to do, the course does a good job of ensuring that you understand the fundamentals. Some of the week-end quiz questions are poorly formed (e.g. gives you two answers, both of which are correct, but only one of which counts as right in the quiz) - that's my only criticism.

por Renee

25 de may. de 2021

A nice introduction. The use of the Introductory Statistics textbook was good and I've earmarked it for future reference; a couple of the blog reading choices about graph types could be updated. Looking forward to the next course in this specialization.

por Eman S

21 de abr. de 2021

An excellent introductory course for data understanding and analysis, I would advice to simplify the related readings to be more clear.

por Rob K

19 de ene. de 2022

Some of the quiz questions feel a bit unfair. Answers that are "Accurate, but..." do not feel appropriate for these kinds of lessons.

por Titir D S J

30 de jul. de 2022

The course was streamed objectively. The reading site and materials covered were broad and fulfilling the objectives.

por Danyi W

16 de feb. de 2023

professor has clarified all the contents, but those graphs are hard to remember when not using them.