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Open Source tools for Data Science

Open Source tools for Data Science

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8.7/10 (Our Score)
Product is rated as #88 in category Data Science

What are some of the most popular data science tools, how do you use them, and what are their features? In this course, you’ll learn about Jupyter Notebooks, RStudio IDE, Apache Zeppelin and Data Science Experience. You will learn about what each tool is used for, what programming languages they can execute, their features and limitations. With the tools hosted in the cloud on Cognitive Class Labs, you will be able to test each tool and follow instructions to run simple code in Python, R or Scala. To end the course, you will create a final project with a Jupyter Notebook on IBM Data Science Experience and demonstrate your proficiency preparing a notebook, writing Markdown, and sharing your work with your peers. LIMITED TIME OFFER: Subscription is only $39 USD per month for access to graded materials and a certificate. IBM offers a wide range of technology and consulting services; a broad portfolio of middleware for collaboration, predictive analytics, software development and systems management; and the world’s most advanced servers and supercomputers. Utilizing its business consulting, technology and R&D expertise, IBM helps clients become “smarter” as the planet becomes more digitally interconnected. IBM invests more than $6 billion a year in R&D, …

Instructor Details

Polong is a Data Scientist at IBM, with a focus on data science advocacy and partnerships. He is a co-founder of a Data Science Bootcamp at IBM and currently leads Canada's largest meetup group for data science in Toronto.

Specification: Open Source tools for Data Science

Duration

8 hours

Year

2018

Level

Beginner

Certificate

Yes

Quizzes

Yes

153 reviews for Open Source tools for Data Science

3.6 out of 5
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  1. Max G

    Good for pointing you towards free open source tools to practice developing in for both Python and R. Also has a nice introduction of how to use some basic feature of these tools.

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  2. Wesley v W

    Videos are out of data and the navigation is different from video to new software

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  3. Luanna E K

    A bit boring, but necessary. I think there could be more graded exercises instead of ungraded experiments. To make it more challenging.

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  4. Subhajit S

    Excellent course.

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  5. Ankit S

    Gentle introduction to Watson Studio and skills lab

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  6. UMASANKAR N

    nice course

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  7. Taracha M

    Good info. Nothing deep. Anticipating more.

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  8. wesen t

    This is a great course to learn critical Data science tool.

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  9. Jikai Z

    The instruction for the final assignment is totally outdated, it was a terrible experience.

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  10. Ratnesh K G

    Good course

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  11. utkarsh d

    i have learn so many thing like R studio,juypter and how to visulaize the data etc good course i have recommeneded so much for fresher

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  12. candi r

    The contents need to be updated

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  13. Fedrizzi E

    Material seems outdated, and poorly informative. Too many topics are just mentioned without details, which is frustrating: I got the feeling that to have a minimal real understanding of the subject I had to do a lot of personal research outside of the course.

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  14. Joseph E

    THis is a worse course here, I can’t move forward! No Support we can go with…. including Coursera

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  15. Adetunji O

    Please update the videos to reflect the updated IBM Watson studio’s new look. Besides that, the course is solid!

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  16. Muhammad M A

    Awesome

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  17. Aseel A

    This course was very useful!

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  18. Amine J

    Very interesting

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  19. PARASKEVI–SPYRIDOULA K

    Even thought the course content is interesting, videos provided are not updated, making the learning experience a bit confusing

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  20. PARASKEVI SPYRIDOULA K

    Even thought the course content is interesting, videos provided are not updated, making the learning experience a bit confusing

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  21. Maria B

    The course is not really well organized. Furthermore, the videos are deprecated wrt the open sources they refer to. I wouldn’t recommend it!

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  22. Mohamed A

    Great course, would love more work examples to improve my skills

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  23. ADU I O

    It’s a very practical course, giving me a direct access to the tools and languages used by Data Scientists all across the globe.

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  24. Harsh M S

    Wonderfully Designed Course in the field Data Science.

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  25. Zyad M E E

    Splendid!

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  26. Muktar D

    Thanks NB: Videos need to be updated though

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  27. Nishaanth S P

    Worth the time

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  28. Lawrence R

    Enlightening course

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  29. Manpreet S G

    The Data Science experience change to Watson studio is great. However, the videos and instructions need to be updated for clarity.

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  30. Jing F F

    Video regarding IBM watson need to be updated.

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  31. Ann S

    week 3 was very confusing as the video was severely out of date.

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  32. Ahmed A A A

    the course was interesting with a lot to know but sometimes pages can’t be loaded

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  33. Debakanta S

    its okay

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  34. Raymond K C

    This course gave me the confidence that I can in fact learn about Data Science and excites me to learn even more!

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  35. Pampa H

    It’s very helpful.

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  36. Melissa k

    some videos/ articles are outdated. please update, especially watson studio’s part.

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  37. Shun–Chieh M

    Update the videos before releasing this as a class

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  38. Aimen M

    The course was amazing, I was more than happy to find out that there are easy ways to perform the tasks of data science in environments that are ready and perfect and I’ll definitely use them. Thanks a loT Coursera and IBM

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  39. Shun Chieh M

    Update the videos before releasing this as a class

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  40. Luis F P

    Me gustaria que tuviera mas ejercicios practicos

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  41. Julio V

    Very informative!

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  42. Bibek N

    This course was very helpful.

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  43. Daniel U

    Outdated, mostly ads for the used services. You could learn all the information provided in this course in under half an hour just by reading.

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  44. Sarah G

    The videoes were not updated. I have spent hours to figure out how to follow the videos.

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  45. Srinivasa R S R

    Course was well laid out. Systematic and detailed. helps any new bie to Data Science.

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  46. Toni K

    Enjoyed this course. Great in understanding IBM cloud tools.

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  47. Robert C

    Much of this was 5–star worthy, but a new video is desperately needed, as it does not match up with the current Watson environment and creates a lot of unnecessary confusion.

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  48. Nathan E

    It was nice to get an overview of the tools, but I found the labs very simple. There didn’t seem to be any important tasks to complete.

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  49. Julia M

    I think that this course needs to be re–engineered. The videos are outdated and the videos jump right into the programming without explaining why you are typing out this code. It is not a course for beginners.

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  50. Zacky E P

    NIice

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  51. Hemant S

    Video content is a bit outdated so kindly update it or at least attach reading with it to let the students understand

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  52. Parshad S

    Great course to get familiarized with the available tools for Data Science beginner.

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  53. Oladiti S

    Interesting course

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  54. SK N H

    Not updated Test are very novice

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  55. Avinash k

    excellent course.!!

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  56. Ayush K

    loved this course. this was quite an good experince

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  57. Gavin P

    Not good. Bugs. Discrepancies between material and tools. Probably needs to be updated. I might drop this track and go to another set of courses because this course is fundamental to the other 7 in this track, and IBM tools are not widely enough used to warrant spending a lot of time learning a track that is IBM tool specific.

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  58. Arun P

    Its a very good informative course for different types of open source data science tool.

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  59. Maxim M S

    Thank you very much for the excellent presentation of the material and the available intellectual tasks.

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  60. Muhammad L

    It’s too useful step towards my career

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  61. Marceline C M

    I loved the practical approach of the course. It’s not just listing of tools but step by step application which makes me more confident I know exactly where to fetch each tool I need in a Data Science Project. Thank you.

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  62. PAmer H

    The contents were not updated

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  63. Chan K F

    Introduction are well prepared

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  64. Md. R T S

    Outdated Tutorials. Very Difficult to figure everything out.

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  65. Parthasarathi D

    I found the course helpful. The flow is also good

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  66. Dovile K

    The course is pretty outdated

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  67. Luis D Q C

    Excellent, easy to follow very clear

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  68. Christopher H

    Wonderful course!

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  69. Sushant K S

    This course is very helpful in understanding different types of Open sources platform regarding data science and their feature

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  70. shem m a

    Very well structured and delivered

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  71. Reyna P

    Materials were not updated and it was confusing to follow along.

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  72. KVD S

    wounderfull

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  73. Salvador I S R

    very good

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  74. Kateryna T

    It requires to register in different tools outside the coursera to proceed further.

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  75. Jaime F

    Introduces the sources used in Data Science in a very easy but applicable manner.

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  76. Sirwan K

    This was my first time to get to know open source data science tools and it gave me a general view of the same. of course, self study is a must to get more familiar with these tools.

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  77. Abhaya K S

    Good to start with the basics about the open source tools which are ready to use for exploring the data science field.

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  78. ThanhCj

    Please update videos base on new updated of Wastion Studio

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  79. Alexis R

    The source tools demonstrated in this course have been updated and changed. The user must visit the forums to get more current information not provided by the course materials.

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  80. SHUBHAM K

    This course introduces the learner to the open source tools for Data Science in a very efficient manner. It describes the usefulness of different open source tools and at the same time provides hands on experience with them. There will be graded quiz sessions about each open source tool and it really helps to get the concepts clear. At the last, we have to write a Jupyter notebook and share it with our peers. We have been really guided very well to create our shareable notebook. Thanks for this course.

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  81. Abel F

    Good starting point for data science

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  82. Ross T

    A great overview of the key open source tools out there I’ve used RStudio and Jupyterlab in the past so was expecting these, Zeppelin was a pleasant surprise.

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  83. chetan

    I was knowing about R and Jupyter note book and i was not knowing about the zepplien notebook.

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  84. Shubhal S P

    Good teaching of Open Source tools for Data Science Keep it up…

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  85. Leonardo M

    Excelente! muy bien estructurado y enfocado en la practica.

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  86. Prieshecumar S P

    The IBM Data Studio videos are outdated and they don’t reflect what you find on IBM Data Studio’s new version. Please update the videos.

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  87. Tennakoon M C B T

    Learnt a lot of tool s that are valuable.Some vedios need to be updated.

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  88. Shruti K

    Great Course!

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  89. Matt H

    I enjoy the thorough instructions while enabling curiosity and going further individually

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  90. Garrett A G

    It would be helpful to update the videos, please.

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  91. Mingshu L

    too basic… and it’s really weird that I have to submit so many times for quiz until it feels less of a learning experience but more of a bug experience

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  92. Stephen M

    I enjoyed this course. The opportunity to work with Zeppelin notebooks, R, and Watson studio was great! The only small stumbling block was the old videos on Watson Studio. But you know about that and I’m sure you are actively working on it. Thank you.

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  93. Vasanthaenian S

    A good introduction to various Notebooks & easy to use

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  94. Erik P

    You need links and updated screens to got with IBM Watson Studio.

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  95. Harsh S

    Nice course for learning the basics of open source tools required in the data science field.

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  96. Grzegorz K

    The material is chaotic, it’s more tutorial and ad for three presented platforms than an independent course presenting available tools

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  97. Michel R

    Interesting course that will introduce with the existing data science platforms.

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  98. Tsholofelo S

    Good course, some of the tools are outdated though

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  99. Aarushi S

    I appreciate the efforts that were put together in the course, and I have had very good experience with IBM courses in the past. However, was a bit disappointed with this one. The videos for IBM Watson Lab were outdated, which resulted in a lot of wastage of time to submit the final assignment*. Also, it does not make sense for students to compulsory learn IBM software and use it for assignments. Basically had to learn an extra software which we did not even sign up for. As part of IBM professional certificate, I think it was a bit redundant and can easily be made part of a Python beginner or Data Science beginner course. *Faculty were helpful to point this out and point a step by step procedure for the updated version. But this was in the discussion section, and also immediately makes having watched the videos completely futile.

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  100. Ajoy K M

    Great course

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  101. Andy G

    Only issue we ran into is that there have been some URL and naming updates that aren’t reflected in the training yet. Such as DSX is now call Watson Studio. The data science work bench also does not include Rstudio at the time of me writing this. I believe they are in the process of an update that is why the link to RStudio did not work.

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  102. Igor L

    Great introductory course to free open source tools when working with Data

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  103. Jose C V M

    Thank you for this opportunity, it was 10/10

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  104. Gabriel D V

    It was a good course, but could be condensed and more the point.

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  105. Veretennikova Y

    This is a great course, very detailed and interesting.

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  106. Agalakov S A

    This course is pretty good but there are a lot of stuff that is not releveant anymore/outdated. For example Data Science Experience doesnt exist anymore and it was quite challenging to follow the videos when you dont have the same interface as shown in video.

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  107. Sergio R H

    Introductory and easy

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  108. Ravi S

    Every thing is excellent just some videos are outdated like in week 2 there is skill lab in which there is no RStudio in march 2020 but videos shows to complete Rstudio practical. except this this is very good course.

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  109. Dmitry B

    I appriciated the course in general. Nevertheless, for me the main issue was that the video lectures concerning watson are outdated. The information provided does not correspond to the real platform

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  110. James O S

    This course is seriously broken. The last section of the course requires you to use cloud.ibm.com, but the applications referenced have been significantly changed, and do not work as described. Until this is significantly revised, this course cannot be completed.

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  111. Benjamin S

    The platforms are not ready. Instructions are outdated. Just familiarized with possible platforms, didn’t learn anything useful.

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  112. GREGORY M

    Loved the practical exercises and information. Hands on in the notebooks in a few different environment gave me confidence to try out other things on my own. Thanks.

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  113. chamath p s d s

    great course

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  114. Facundo H

    Amazing course!

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  115. Ravi S

    Every thing is excellent just some videos are outdated like in week 2 there is skill lab in which there is no RStudio in march 2020 but videos shows to complete Rstudio practical. except this this is very good course.

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  116. Iordanis C

    inaccurate walk through the tools there are no supervisors able to check if the peer to peer grading is correct or not

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  117. Oliver E A B

    Is good to get to know the tools, but you do not acquire actual skills.

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  118. Roberta B

    The course is good but it would be great if the nomenclature of the cloud based applications would match the current version of the toolkit!

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  119. Dragoljub R

    I’ve been able to learn basics in data science software. It was a nice experience and an introduction to something I am looking for to learn. I would recommend to all without prior experience, though those who have already worked with those tools this course won’t mean too much.

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  120. Apurva R

    Though the interface in the videos were little outdated, the IBM professionals are working on it to make it better. The style of teaching is incredible. Extremely responsive team. Thanks for giving us a chance to learn.

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  121. Yelena K

    There was a problem with the connection to R lab, never fixed. Also, some tutorials are outdated. These are the negative parts and why I give four stars. Other than that I like the course so far.

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  122. Miguel A I B

    excellent training to familiarize with Data Analytics open source program tools and workbooks capabilities and functionalities

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  123. Turkesh P

    essential contents for beginner from scratch

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  124. KASEKE K T

    The tutorial videos need to be updated.

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  125. AKEEM O B

    Awesome

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  126. daiddoh d m

    Great course. Practical example given and it’s concise.

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  127. Md. A A J

    This course creates a friendly environment to learn Jupiter notebook, Zeppelin Notebooks, RStudio and IBM Watson Studio step by step. Course materials and assignments are great!!

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  128. Mauro F

    The course doesn’t give interesting information and videos are not update, so I wasted a. lot of time to setup watson studio istance

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  129. Ruhul A

    This seems to be a good start to know the tools in the field and have a brief introduction on each one of them, must for someone who is looking for a trend which Data Science had and has in past and present.

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  130. Jakub C

    There are some videos which are not updated and IBM Watson doesn’t really work as described in scripts and videos. Project parts completely missing for some settings.

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  131. Alessandro M

    Very well done as introduction of the tools needed to be successful in data science.

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  132. Charles J

    Actually videos about IBM Watson Studio just describes the former edition instead of present one, so it can be really confused to practice as in the videos.

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  133. Hong W

    Good to learn some popular open resource tools especially for the IT dumb like me.

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  134. Rohan J G

    It’s a good introductory course to know all the open source tools available for data science. However, it will not teach you how to code for these tools apart from introducing a few basic lines.

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  135. Iwan M J

    Good article and video content and just the right amount of writing code to make it interesting!

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  136. Neelabh S

    Really nice introductions to these amazing tools such as Jupyter Noteboos, Zeppelin, IBM Watson Studio and RStudio IDE. Very easy to grasp and the final project helps practice all the basics in Jupyter notebook using some Python code.

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  137. Daniel Y G

    update the videos please…

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  138. Prashnat H P

    good

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  139. David J H

    A good overview of the various open source tools available. The videos, however, did not always match the material which made it confusing here and there. I am aware they are currently working on fixing this.

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  140. Abhishek G M

    It was very nice course on introduction to the open source tools

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  141. Kartic A

    THE LAB CANNOT BE ACCESSED .

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  142. Wai L

    Really easy to follow along until Week 3 when the videos were all out of date. 1 star for that.

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  143. Rohan T

    Well balanced course material for beginners to learn about the open source tools.

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  144. Gabriel D V

    It was a good course, but could be condensed and more the point.

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  145. Nikhil J

    Great resources, but more focused towards “Open Source tools of IBM”. Felt could have been better.

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  146. Antonio S

    IBM watson studio videos are outdated. Ibm platform has been updated and the videos do not correspond to the current version making it difficult to follow. this should be improved

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  147. Leonard B

    This course was tough but good. I’m excited to learn a new skill, one I hope will increase my worth in the near future.

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  148. ALABE L W

    Thank you IBM the course is well structure and self understanding.

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  149. Abhishek V

    In the information part course is awesome but the content needs to be updated.

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  150. Moises A M T

    It’s been a great learning curve.

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  151. Md T A

    Gives overview of tools required and how to use them.

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  152. Farooq Y

    I have to admit, I was a bit skeptical before starting this course. However, the more I get into it, the more I realise why this course alone teaches you more than hours and hours of youtube videos. Props to the course creators. It is very interactive and fun.

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  153. Gage S

    Some of the material wasn’t up to date. However, it was still easy to figure everything out

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