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.
HO
it was very helpful as it provided me with general idea on how to analyze and interpret data
RK
Some of the quiz questions feel a bit unfair. Answers that are "Accurate, but..." do not feel appropriate for these kinds of lessons.
HK
Very nice and clearly explained the topics with practical examples.
HX
Very useful course and clear instructions. Great doc supplementary, but it's usually a long doc which requires more time to complete.
ES
An excellent introductory course for data understanding and analysis, I would advice to simplify the related readings to be more clear.
MG
Nice and well paced review of statistical basics.
LL
Good general overview of data description, different ways of reading/presenting data sets.
NA
This course explains basic statistical data analysis and research methodology in a really easy, understandable, relatable, and intuitive manner.
TJ
The course was streamed objectively. The reading site and materials covered were broad and fulfilling the objectives.
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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.
Some of the quiz questions feel a bit unfair. Answers that are "Accurate, but..." do not feel appropriate for these kinds of lessons.
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!
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
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.
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.
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.
This course explains basic statistical data analysis and research methodology in a really easy, understandable, relatable, and intuitive manner.
Contiene aspectos teóricos muy importantes, y es un buen inicio para el uso de herramientas de visualización de datos.
Great introduction about how to understand and use Data for analysis
Very nice and clearly explained the topics with practical examples.
Nice and well paced review of statistical basics.
It was interesting and challenging too.
Very educational and thought-provoking.
Very good material , Learn new things
Explicit, detailed, interesting...
Very challenging, in a good way!
Excellent introductory course!
Thank you for this course.
Nice course Materials