Chevron Left
Вернуться к Набор инструментальных средств для специалистов по обработке данных

Отзывы учащихся о курсе Набор инструментальных средств для специалистов по обработке данных от партнера Университет Джонса Хопкинса

4.6
звезд
Оценки: 32,310
Рецензии: 6,902

О курсе

In this course you will get an introduction to the main tools and ideas in the data scientist's toolbox. The course gives an overview of the data, questions, and tools that data analysts and data scientists work with. There are two components to this course. The first is a conceptual introduction to the ideas behind turning data into actionable knowledge. The second is a practical introduction to the tools that will be used in the program like version control, markdown, git, GitHub, R, and RStudio....
Основные моменты
Foundational tools
(рецензий: 243)
Introductory course
(рецензий: 1056)

Лучшие рецензии

SF
14 апр. 2020 г.

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.

LR
7 сент. 2017 г.

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.

Фильтр по:

351–375 из 6,787 отзывов о курсе Набор инструментальных средств для специалистов по обработке данных

автор: saicharan s

22 мая 2020 г.

This Course is very well structured and paced which makes students to analyse and understand things in a smooth and efficient way also this course provides enough intro towards big data and data analysis tools

автор: Marvin G W

1 дек. 2019 г.

Basic intro but good material and refreshers. Git lesson is great for those of us that haven't been in that environment for a while or have never been there to start with. Looking forward to the next course!

автор: Azhan A

17 мар. 2018 г.

Awesome course! I would say, I was dreaded github, it never made sense to me but now I know what it is, the course covers super basics and I recommend everyone who is new to data science or even new to coding.

автор: Venkata D

6 нояб. 2017 г.

This is a very valuable course for the biology or health research background students or scientists who have great interest in data and analysis can learn and explore newer skills. Very well structured course.

автор: Franklin F A C

15 июля 2020 г.

Es un buen curso para ser la base de todo el programa de especialización en ciencia de los datos en R. He aprendido mucho y vale la pena para quienes no conocíamos muy bien este lenguaje y sus potencialidades

автор: Dasarathan S

17 сент. 2019 г.

All information given in this course is very basic overview about Data Scientist. It covers basic requirements at macro level and helped me to understand what is Data Scientist. Great course to start with it.

автор: John S

15 июля 2019 г.

Most helpful for those who don't exactly know what they are doing and need help setting up R, R Studio, GitHub, and Git. Be warned, o actual programming here. However, I definitely appreciate what I learned.!

автор: sandeep

15 февр. 2017 г.

It's really a great introduction to know the very basic things of Data Science. This course will be useful in setting-up the required tools of R programming on your computer. For the beginners this is a must.

автор: Osman A

31 авг. 2020 г.

I found this course is very helpful and I am new to Data Science but this course help me to get my fundamentals very well organize and I am looking forward to compete all Data Science Specialization courses.

автор: SHASHI P

15 июля 2020 г.

Though this is robotic voice course but the content organisation is very well and illustrative for even a beginner. Topics are well covered and the software installation processes are also cleared very well.

автор: NISCHAL S

1 мая 2020 г.

The contents of the course were excellent, and every bit of instruction was to the point. The idea of providing the text version of the video was apparent. The voice of the narrator could be a little better.

автор: Sruhith K

23 окт. 2019 г.

I loved the support of the Coursera, throughout this course and the way of unfolding a course all the way through till the end!

Really loved each and every aspect of the whole cream.

Thanks and love, Coursera!

автор: April H

2 нояб. 2020 г.

Great course! It was especially helpful for me to connect RStudio to GitHub and understand how the two tools work together for version control. I never would have figured this out on my own! Thanks so much!

автор: KHANGJRAKPAM A

5 янв. 2020 г.

It was an amazing course. The versioning of code during development is something that Data Scientist new to the trade are unaware of . It was good to have this knowledge of how to do versioning through Git.

автор: Darcy L

12 сент. 2018 г.

Nice balance between giving me the info I needed to complete the course and homework and providing links to materials and suggestions on how to find answers that were not explicitly covered in the videos.

автор: Álvaro G

17 июля 2017 г.

I loved this class. The lessons were concise and very well planned, the information clear and easy to grasp and it gave me a very good perspective of what the rest of the specialization is going to entail.

автор: Priyanka K

30 июня 2016 г.

Thank you so much for the great course! Looking forward to taking the rest of the classes in the specialization. I really love the GitHub info, lectures overall, as well as the Textbooks you have provided.

автор: Soumyadeep S

30 дек. 2020 г.

Week 3 was so informative and well constructed. It was a joy doing the course. Git and Github part is excellently explained and the linking between Git hub and R Studio as well. Fantastic course overall.

автор: Nnamdi E

14 мая 2020 г.

This course is wonderful. Very detailed.

My main concern with MOOCs is the data consumed by videos but the videos here are so light. I don't have to worry about the size and I played them more than once.

автор: Sohan A

6 янв. 2020 г.

A well structured course. At first you feel like there is nothing interesting but later on, I enjoyed this and boost my confidence. Only minus point was sound in video, it should have been real persons'.

автор: Robin F

12 окт. 2018 г.

This course will probably be too easy if you already know about data science but it is perfect for neophytes who do not have the tools and the codes of data science yet. I strongly recommend this course!

автор: Lailatul S B A R

12 июня 2020 г.

Good introductory course and easy to follow to have basic understanding on Data Science and R programming language and how to use and interlink between R, RStudio, GitHub and the rest of the tools used.

автор: Christian S

12 янв. 2020 г.

I've been using SAS and Visual Basic as primary data manipulation tools from my very first job to date. I wanted to learn R/RStudio and this course provided a very good introductory learning experience.

автор: Alice

30 мар. 2019 г.

A great start to the world of data science. Love the idea of duplicating videos with text courses. I'm saving all texts to a folder for future use - this is a gold mine! Great job on the course, people!

автор: Ishtiak A

7 янв. 2018 г.

This a a nice introductory course for approaching data science domain. The instructor and course materials are very good to understand the basic concepts of the tools required for data science projects.