As a business student from Bangladesh who is aspiring to be a data analyst in near future, I love this course very much. The quizzes and assessments were the places to check how much I exactly learnt.
It was really insightful, coming from knowing almost nothing about statistics or experimental design, it was easy to understand while not feeling shallow. Just the right amount of information density.
par Xiaoyang C•
The illustration is exhaustive , step by step teaching you how to set up R RStudio and GitHub. A really great foundation course for who is interesting in those software and may think of data analyst as a future professional.
par Diandian Y•
Got to know the big picture of what is data scientist and what they are doing; Set up the tools and account of git hub; the instructions of how to collaborate and share codes and views among co-workers are especially useful.
par Greg V•
This was a great first and foundational course to the Data Science Specialization. The lectures and course materials were very clear and the being my first course on Coursera, it was a great introduction to Coursera as well.
par Marinel C•
I learned a lot in this course that I did not learn when I was still studying when I was in college. And I am so thankful that I was given the opportunity to increase my knowledge.
Thank you so much po and Gob bless you all
par Abishek S•
I usually watch my online videos in 1.5 - 2x speed. But because of the robotic voice used, I found this slightly difficult. However, the content was great and this is a course that I would highly recommend beginners to take
par Benjamin S•
A good intro to data science. Highly recommend. Might be somewhat straightforward for those already using GitHub and other computing resources, but a good intro to the field of data science and the key ideas surrounding it.
par Vannesa G•
This is a really good way to start in Data Science. The course is easy to follow, it has many exercises and practices. And you can also study by your own and get more knowledge and feel more and more confident with data job
par Thomas N•
A good introduction into Data Science that is both inspiring and motivational. A stepping stone in the world of Data and a powerful foundation for acquiring more knowledge and understanding larger concepts within the field.
par Barbara J D•
This course was very difficult for me at first not so much the github portion but the git part for some reason but I did read more about it and got so I knew and understand it now. Pretty valuable to have this information.
par Wong H S•
The written instructions are very systematic and neat for me to procedurally complete my assignment and quizzes. Thank you for being presenting your lectures and lab sessions systematically and clear with perfect English.
par VENKATA R B G•
It gives me an immense pleasure to be a part of the course "The Data Scientist’s Toolbox ". It built basic knowledge on tools needed to become a Data Scientist. With the knowledge built and setup I would like move further.
par Sima S K•
Very well structured and informative course. I started by watching the videos however I found the automated voice somewhat annoying so I switched to reading the lecture notes only, which was very comprehensive on its own.
par Rifat A•
This is an awesome course for those who are learning the fundamentals of data science. The course offers useful lessons on basics of R programming, RStudio, and linking them with Github to create and manage repositories.
par Matias N H S•
Muy buen curso introductorio para saber qué es R y cómo puede ayudarnos a realizar diversas tareas, sobre todo orientadas a la respuesta con grandes cantidades de datos. Teóricamente muy completo para comenzar desde 0!!
par Divanee S•
Good course for anyone new beginners with a good explanation. The assignments and quiz urge students to go through the toolkit. But the automated voice could be is a bit faster. I would appreciate it if can be changed.
par Ricardo B M•
Es un curso para aprender a usar R y RStudio, es útil para poder der mas profesional con tu trabajo, no tiene ejemplos muy desarrollados de la estadística en R pero sigue siendo un buen curso si nunca tuviste una base.
par José A L•
Excelente curso. Para los que quieren aprender y saben NADA DE NADA, es excelente. Parte literalmente desde cero. Las evaluaciones son completamente acordes a lo que se va viendo a lo largo del curso. Muy recomendado.
par Mohammed F B F•
This course was a totally new subject for me but I truly enjoyed this course. The instructors had done a good job of providing a detailed step-by-step guide to the students on learning the course materials. Thank you.
par Georgeanne P•
Good intro course! I never understood github well until I took this course. Now I understand how version control works and how it can link with Rstudio. I look forward to the next course and putting the tools to use.
par Cairo J S S•
Este es un increíble curso, totalmente recomendado, aprenderás desde instalar todos y cada uno de los programas que utilizarás en el futuro, hasta comandos primordiales en el uso de cada uno de ellos.
¿Qué esperan? :)
This was a great introduction into a Data Scientist Tool Box. While I did enrolled formally in the class it provided me with the knowledge to understand better Data Science. I would definitely recommend this course.
par Hernan M B•
It is an excellent course, it is very well explained and I understood it well even though my native language is not English.
Congratulations to those who developed this course to Johns Hopkins and Coursera.
par Peleise S•
This is a wonderfully productive introduction to the Data Scientist Specialization. The course and materials are clearly organized, and the tools needed were easy to find and the final assignment was very practical.
par Kevin M•
This course is a great "get your feet wet" introduction to data science. If you're thinking about becoming a data scientist or are simply curious about the profession, The Data Scientist's Toolbox is a great start!
The Course content is great but the reading part sucks. I literally had to zoom in my browser window to be comfortable read the stuff. And then zoom out to do other stuff. Coursera kindly work on the reading part!