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The Data Scientist's Toolbox

The Data Scientist’s Toolbox

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8.7/10 (Our Score)
Product is rated as #97 in category Data Science

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.

Instructor Details

Jeff Leek is an Assistant Professor of Biostatistics at the Johns Hopkins Bloomberg School of Public Health and co-editor of the Simply Statistics Blog. He received his Ph.D. in Biostatistics from the University of Washington and is recognized for his contributions to genomic data analysis and statistical methods for personalized medicine. His data analyses have helped us understand the molecular mechanisms behind brain development, stem cell self-renewal, and the immune response to major blunt force trauma. His work has appeared in the top scientific and medical journals Nature, Proceedings of the National Academy of Sciences, Genome Biology, and PLoS Medicine. He created Data Analysis as a component of the year-long statistical methods core sequence for Biostatistics students at Johns Hopkins. The course has won a teaching excellence award, voted on by the students at Johns Hopkins, every year Dr. Leek has taught the course.

Specification: The Data Scientist’s Toolbox

Duration

9 hours

Year

2015

Certificate

Yes

Quizzes

Yes

97 reviews for The Data Scientist’s Toolbox

4.5 out of 5
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  1. uttam K

    good course

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  2. Sarwar A

    The lectures were good.After all it’s robot orienting converstaion it has lot of pace in speech I think that is not good for me.Because It was little bit hard to grasp the message.The pace is only the concerned.Overall lectures were good.

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  3. Azeem S

    A very good understanding of the course material

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  4. Nguyen N T

    The course size is pretty small compared to other courses I joined in Coursera. It took me only 3 days to complete the 3 day course. I think all setup guides should be left as assignments for students with some links where we can refer to on our own. Anyway, the course finally convinced me to start using R.

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  5. Willie C

    This course is fairly rudimentary, but it does a really nice job of getting you all set up with the tools you’ll need to tackle the rest of the Data Science specialization

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  6. abdulai

    Direct contact and references could have helped more

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  7. Sreejith K S

    Great start

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  8. Yash K

    Detailed Introduction

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  9. Candice A M J

    The tools needed are all explained well, including installation. Still getting used to the new Amazon Polly format. A few questions in quizzes seem to not align with updated material, but that could just be an intentional push to be resourceful. Looking forward to the next course.

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  10. Akshay N

    Basic course. Didn’t really enjoy the automated voice from Polly.

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  11. Mohsin A

    it was an excellent course.

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  12. Dexy Y C D

    Excellent course that provides the necessary tools for those that want to get started into the Data Science.

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  13. Brendan S

    Solid starting class that highlights the fundamental software you will be working with for the Data Science Specialization. It holds your hand at the beginning, but familiarizing yourself with the software may lead to a few bumps in the road. Some of the issues were due to unclear directions and, at one point, a needed additional package to knit PDFs from RStudio R Markdowns. While the forums are not very active, there are a few people who might be able to help you. Also, Google (along with the listed Data Science forums) is your friend when looking for answers.

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  14. Shannay R

    An excellent introduction to R, RStudio, Git and GitHub. The course content is well designed and touches upon various topics in a crisp tone. The course lowers inhibitions and allows learners without any coding experience to test the waters. Definitely recommended for all enthusiasts looking to venture in Data Science

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  15. Colin S

    A lot of throat clearing, but I feel ready to keep going

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  16. Victor A T

    A very good course for beginner to start off with. This course really helps setup the fundamental toolkit to create a efficient workflow. The git/github version control linking with R/Rstudio is the best thing I got from this caourse.

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  17. Bharat c

    awesome course structure and proper way to begin data science journey with this course

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  18. Cecilie M A D

    Great course that goes through the basics of data science.

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  19. Gala G B

    Very good course to get the basic skills for R programming

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  20. Jiranathanan S

    good course. perfect introduction into Data Science. Learnt a lot about overall concept and many tools involved such as Rstudio, Git

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  21. Rohit P

    A very balanced and quick course to introduced R, R studio, Github and other tools for data analysis. Also, the examples and methods of communicating critical terms are impressive and are forever etched in my memory. As a trainer myself, I will do my best to employ these in my workshops.

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  22. Daniel H J

    Awesome

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  23. BHAGAWAT M

    It’s really enjoyable, a lot to know and a lot to discuss. The other links provided for more details are very much helpful. The feature of the discussion form is very helpful. Thanks, to Coursera and the team of Coursera for your high great work to open this platform.

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  24. Francisco J A O

    Really gets me, so I renew my interest in learning new things, It’s a well implemented course to introduce you to RStudio

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  25. gabriela C

    Great course to learn the basics. Highly recommended.

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  26. bhargav j

    great course to learn new things

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  27. Kelly R

    Great introductory course.

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  28. Vishnu J

    Nice course. I got basic idea about data science, R and Rstudio. I have previous knowledge about Git. Apart from the contents, the new way of presentation is not impressing, many of the lengthy videos, it was annoying. Like, if it is a real human video, the instructor will change the tunes and it is more important in the communication. I am suggesting the same method with a human voice instead of computer generated audio/explanation. I rated 5 star for the way of progress, the context of each lesson. I felt I learned new things.

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  29. Thiago F N

    HORRIBLE, SO DAMN BAD! I’ve done over 50+ courses online from places like Coursera, edX,Udemy and I’ve never been across a course so bad like this one, the whole content could have been summarized and turned into a one week part inside another course. And the robot voice?! Geez, I understand why, but don’t, just don’t, it makes us lose the interest in the course, thankfully I have other Data Science certifications and I could do all the tests, but damn, SO SO BAD!

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  30. Joseph S

    The theoretical part of the course is good, but the quizz questions were simplistic and very hastily prepared. I would recommend this course as an optional module and not as a graded course.

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  31. Juan P R U

    An excellent introduction to Data Science, perfect for beginners and would pursue the other courses to finish the specialization.

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  32. Shashwat T

    Some lecture wold be better if it were given by lecturers, not the software: basically the third module.

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  33. William R

    Great introduction to the basics for Data Science

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  34. kodamagulla k

    Wow!!! Amazing intro towards data science

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  35. PIYUSH K

    just the basic info about R,r stdio and github

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  36. Prottay H

    Great intro course. Got me in the mood, established the perspective I should have going in. I felt that some of the lessons like R Markdown were a bit rushed and at times I felt like I was just following along without understanding the commands and ideas. Perhaps that is simply a lack of emphasis or a lenience in tone (like don’t worry, we’ll look at this later), but in that case I suppose it did not translate through the synthesized speech.

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  37. Hongxuan Y

    This course would be quite helpful for those who step into data science for the first time!

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  38. Miguel D B

    Straight to the point. I see a lot of value with the links provided for reference with the notes.

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  39. robin r J

    great start for whom who want to learn data science from scratch….

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  40. Abdelyazid B

    Very user friendly course !

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  41. Nattanan P

    Great course for introducing about data sience, exploring the tools for using and explaining how to use and why we have to use it.

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  42. Mahmoud H

    it was a very good start in the field of data sience

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  43. TANMAY C

    Easy to understand. A person who really wants to learn will enjoy this course.

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  44. YNAG Z

    Thanks for uploading this course!

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  45. Jekabs B P

    Well designed course; great for first in sequence. On a couple of parts I had to struggle to figure out how to complete an installation or proper launch of a program, but between the instructor’s instruction, classmate’s comments, and google searching, all was completed. Thank you for designing a great course!

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  46. Tameria S

    Good material and instructors.

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  47. Natya N N

    Easy to understand, very systematic, step by step are easy to follow even for non IT learners

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  48. Greg K

    The content is good, but there are numerous technical problems in the course. Frequently there are references to “copy the code” which is only present in a video frame, so you can’t copy it. There are also references to “follow the link” and there is no link to click on. Sometimes you can type it in from the slide, but other times there are no links given. Some of the questions in the self assessment do not have correct answers. I can verify this by taking the self assessment multiple times and choosing a different answer each time and never getting it right. Some of the questions are also miscategorized in the wrong lessons self assessment.

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  49. Marlon C

    Very good course to start the data science learning journey.

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  50. Shannon P

    This was a very basic introduction to the concepts of Data Science and the software necessary for future courses. Overall it was fine, but I hated the robotic voiced over videos and ended up playing them on mute to get through them. Also, considering the explanation that doing the class content and videos this way allows the university to keep the courses up to date and correct errors faster, there was still several out of date sections of the course and a number of errors, so I really felt the automated setup as an annoyance not a benefit.

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  51. Jay R K

    Totally worth the time and effort!!!

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  52. kodamagulla k

    Wow!!! Amazing intro towards data science. Must for beginners in data science and version control management.

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  53. Beval

    really good couse

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  54. Susan S

    Great introductory. Some of the instructions were a bit vague at times instructions RE code could have been more precise.

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  55. Bibek S S

    This course is really great for the beginners who wants to learn data science.

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  56. Ruwaa I M

    Good introductory course with great supplementary materials and hyperlinks.

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  57. Wendell B

    Reviews or Test should rely more heavily on the instruction that goes into detail on a topic matter and questions that were asked on quizes. For example, the datasharing question was worth 2 points, when that topic was only cover very briefly.

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  58. Andrea A

    Very helpful to get a good start with R.

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  59. 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

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  60. DANIEL C C

    This is a very good course. I ‘ve learnded so much. Thanks to Coursera and Johns Hopkins University.

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  61. Maria A

    Easy to follow

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  62. David B

    The Data Scientist’s Toolbox was a great course. There was effective exposure to each of the elements that will be of importance to Data Scientists.

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  63. Venkata R S R

    The videos voice is a little different but overall the course content and explanation is very good.

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  64. Katherine A O

    Muy buen curso introductoria a importantes herramientas como lo son GitHub y Rstudio

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  65. Gautam J

    good course to begin

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  66. Varun V

    It was a really good course for a beginner who is new to both the world of data science and R programming! Recommended!

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  67. KUSHAL G

    The course was great. The way the concepts are explained in such a laymen terms are great.

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  68. Manik V C

    Thank you, Coursera for this wonderful course. really good course to get to improve skills in data science tool.

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  69. Stephen A

    Really brilliant course. A well rounded introduction to data science and I advise anyone interested in data science to take this course.

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  70. F B

    I didn’t like how I couldn’t do some of the tasks because some steps were missing from videos and texts and there is no help in the course except the forum

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  71. Eric A

    Great piece of course. I really love the package and the support base for the program.

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  72. Ruya L

    Easy to follow, very nicely organized courses.

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  73. Julian A P Z

    Muy buen curso

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  74. JAEHYUN K

    Goooooooooooooooooooooooooooooooooooooooooooooooooooooooooood !

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  75. YASH A D

    the course is good but the language is little bit hard because it is auto generated

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  76. Raksha S

    This course is just amazing! I had the best experience learning it at my own pace, and the interactive learning session was an added fun to the whole course! I am looking forward to learning so much more! The slides had very illustrious graphs and teaching was in such simple words that I could grasp everything so well!

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  77. John S

    Was great to knock the rust off my IOP degree from 2001! Thanks to George Mason for embedding Stats into my brain.

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  78. sabri c

    Excellent course. I found it so easy navigate. Instructions were very helpful.

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  79. Hande K

    Very useful course to start learning data science. Explains things clearly. Some explanations could have been more detailed.

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  80. Abby W

    Clear steps, lots of real world examples included. LIked the git element to the course.

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  81. Debika G

    I found this course to be very well explained and systematic. I have learnt quite a bit from this project.

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  82. NAYAN K S

    Very good course for Data science

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  83. Jason K

    Great introduction to Data Science and the tools needed to analyze big data. Looking forward to the remainder of the course.

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  84. Raghavendra G

    This was a good course. The only challenge was creating the PDF in R, which require LaTex installed

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  85. Amouna

    I definitely did not like the robot voice even though the course mentioned that it could be annoying. I wish there was more instruction involved, especially for beginners like myself. It was still confusing to complete some of the tasks.

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  86. Amsalu B B

    I have learned interesting lesson on this one attempt alone.

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  87. Amsalu B B

    I have learned interesting lesson on this one attempt alone.

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  88. Hassan M S

    The method of presenting the course is a dream come true for me! I am the type of person who can better learn by reading and always enjoyed the reading material of the course. A course containing solely the reading material is epic!

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  89. Mohamed A G

    Great introductory course!

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  90. Marcos S d S

    Otimo curso! Bem estruturado e progressivo e com conteudo extremamente relevante! Parabens aos idealizadores!

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  91. Geetha G

    This course was very informative on the fundamentals of using R.

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  92. Venkata S P

    Good Introduction

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  93. William L A E G

    It did not meet my expectations. It is more an informative course than a specialization course. They thought they were going to go deeper into the use of statistical programs, they only cover details that you can discover for yourself.

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  94. Adriana M M V

    Needs examples and practical exercises. The videos are long and monotonus mainly because the speaker.

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  95. Sathishkumar V

    Such a wonderful course, Good way of learning practically. I learned to use RStudio, GitHub and Version Control practice.

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  96. Howie Z

    It does nothing better than just a PDF file… I would appreciate if they actually provide a PDF file, so everything is integrated and no loading time.

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  97. Oyetunde G

    Highly recommended for a fine and gentle Intro to R.

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