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- 82% Tidy Data: Updated Data Processing With tidyr and dplyr in R

Tidy Data: Updated Data Processing With tidyr and dplyr in R

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8.2/10 (Our Score)
Product is rated as #40 in category R

     THIS IS YOUR ROADMAP TO LEARNING & BECOMING HIGHLY PROFICIENT IN DATA PREPROCESSING, DATA WRANGLING, & DATA       VISUALIZATION USING TWO OF THE MOST IN–DEMAND R DATA SCIENCE PACKAGES!

Hello, My name is Minerva Singh. I am an Oxford University MPhil graduate in Geography & Environment & I  finished a PhD at Cambridge University in Tropical Ecology & Conservation.

I have +5 of experience in analysing real–life data from different sources using statistical modelling and producing publications for international peer–reviewed journals. If you find statistics books & manuals too vague, expensive & not practical, then you’re going to love this course!

I created this course to take you by hand and teach you all the concepts, and tackle the most fundamental building block on practical data science – data wrangling and visualisation.

THIS COURSE WILL TEACH YOU ALL YOU NEED AND PUT YOUR KNOWLEDGE TO PRACTICE NOW!

This course is your sure–fire way of acquiring the knowledge and statistical data analysis wrangling and visualisation skills that I acquired from the rigorous training I received at 2 of the best universities in the world, the perusal of numerous books and publishing statistically rich papers in the renowned international journal like PLOS One.

HERE IS WHAT THIS COURSE WILL DO FOR YOU:

Instructor Details

Hello. I am a PhD graduate from Cambridge University where I specialized in Tropical Ecology. I am also a Data Scientist on the side. As a part of my research I have to carry out extensive data analysis, including spatial data analysis.or this purpose I prefer to use a combination of freeware tools- R, QGIS and Python.I do most of my spatial data analysis work using R and QGIS. Apart from being free, these are very powerful tools for data visualization, processing and analysis. I also hold an MPhil degree in Geography and Environment from Oxford University. I have honed my statistical and data analysis skills through a number of MOOCs including The Analytics Edge (R based statistics and machine learning course offered by EdX), Statistical Learning (R based Machine Learning course offered by Standford online). In addition to spatial data analysis, I am also proficient in statistical analysis, machine learning and data mining. I also enjoy general programming, data visualization and web development. In addition to being a scientist and number cruncher, I am an avid traveler

Specification: Tidy Data: Updated Data Processing With tidyr and dplyr in R

Duration

4.5 hours

Year

2021

Level

All

Certificate

Yes

Quizzes

No

62 reviews for Tidy Data: Updated Data Processing With tidyr and dplyr in R

4.4 out of 5
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  1. Voke

    very descriptive videos and easy to follow and practice along. I will recommend it to anyone looking to learn R with no previous experience with R.

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  2. Mayur Sudan More

    Really helpful. Thank you.

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  3. Quentin Jones

    Liked the focus on two packages and the tidyverse family

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  4. Charles Knell

    The instructor was inconsistent in her use of assignment operators. The preferred R assignment operator (< ) was sometimes used and at other times the equal sign ( ) was used with no remark. My biggest gripe is the quality of the video in Section 6. More than half of the lessons had the video portion out of focus. I couldn't watch them. Generally good, but can benefit from more careful review/editing.

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  5. sushma Pandey

    Informative

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  6. Jibon Sonsar

    Complicated things explained step by step amazing. I love the focus on TIDYVERSE

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  7. Ore Baba

    S , fue una gran selecci n. Me gusta el enfoque espec fico en la familia ordenada de versos.

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  8. Molly Lim

    It covers tidyverse very well

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  9. Shithia Tanni

    The basic concept is well explained and it also provides several examples with a different scenario that very helpful to understand the theory. It will save you a lot of time to do online search when you have problems in the future.

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  10. Nicola Mendi

    Very serious and detailed.Clear to me.

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  11. Kilappa Thanisha

    Cette classe fantastique inclut la plupart des concepts utiles et du code sur le paquet tidyverse.

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  12. Nirsartho Luv

    I was exactly looking at the same requirement in my upcoming project. At the same time, my feeling is too much cool. Thanks Dear

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  13. Ian Borg

    Video editing is weak, and feels like each lecture was only recorded once with no editing or re takes, and sometimes the video seems to end almost mid sentence? However, the subject matter is current and the basics are covered, so if you aren’t a new R user then you’ll be able to take away plenty of information from this course , but newer users may struggle a bit as lectures can jump around and some concepts are only half explained.

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  14. Siam aaron

    Fully described tidyr and dplyr using R. Overall Great course outline and materials! Keep it up!

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  15. Siam aaron

    Fully described tidyr and dplyr using R. Overall Great course outline and materials! Keep it up!

    Helpful(0) Unhelpful(0)You have already voted this
  16. Topu Islam

    Course pattern is absolutely organized. Subjects like data visualization tidyverse are explained elaborately in such a small time which save my time and effort.

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  17. Topu Islam

    Course pattern is absolutely organized. Subjects like data visualization tidyverse are explained elaborately in such a small time which save my time and effort.

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  18. Afrida Sristy

    Informative, well arranged and time consuming outline. Really good course for tidy data and R

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  19. Atika Ali

    Explanation technique of trainer is awesome! Her lecture outline is very good. Over all I am happy.

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  20. Afrida Sristy

    Informative, well arranged and time consuming outline. Really good course for tidy data and R

    Helpful(0) Unhelpful(0)You have already voted this
  21. Atika Ali

    Explanation technique of trainer is awesome! Her lecture outline is very good. Over all I am happy.

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  22. Salwa Kassim

    I was really impressed with this course, it definitely was an engaging way to learn R.

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  23. Salwa Kassim

    I was really impressed with this course, it definitely was an engaging way to learn R.

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  24. Leo Maurice

    Deep learning , very nice instructor !

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  25. Leo Maurice

    Deep learning , very nice instructor !

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  26. Anurag Sharma

    Editing of the videos is pretty poor: Videos end abruptly, there is a bit of waiting around and doing nothing during some videos, the instructor’s heavy breathing interrupts the thought process, some times the jump in concepts is not intuitive, occasionally there are parts that go wrong and the instructor hasn’t explained why or fixed it but just skipped it. The quality could be improved by a great deal because the underlying content is good, but everything else that isn’t distracts you while you’re trying to learn. One major and inexcusable flaw is that the course content is not structured well at all. I don’t feel like I’m learning all there is to learn about Tidyverse.

    Helpful(0) Unhelpful(0)You have already voted this
  27. Anurag Sharma

    Editing of the videos is pretty poor: Videos end abruptly, there is a bit of waiting around and doing nothing during some videos, the instructor’s heavy breathing interrupts the thought process, some times the jump in concepts is not intuitive, occasionally there are parts that go wrong and the instructor hasn’t explained why or fixed it but just skipped it. The quality could be improved by a great deal because the underlying content is good, but everything else that isn’t distracts you while you’re trying to learn. One major and inexcusable flaw is that the course content is not structured well at all. I don’t feel like I’m learning all there is to learn about Tidyverse.

    Helpful(0) Unhelpful(0)You have already voted this
  28. Sarah Griffin

    Helpful because I know a little bit about R already and needed practice with data sets. However, the lectures could be more clear. Right now, it’s a little hard to follow the logic sometimes. Perhaps an outline or summary would help frame each lesson. There is a lot of code that is just given (typed or on the screen during lecture) but not really explained or taught. But I have learned some new skills, so I give it 3 stars because of that.

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  29. Sarah Griffin

    Helpful because I know a little bit about R already and needed practice with data sets. However, the lectures could be more clear. Right now, it’s a little hard to follow the logic sometimes. Perhaps an outline or summary would help frame each lesson. There is a lot of code that is just given (typed or on the screen during lecture) but not really explained or taught. But I have learned some new skills, so I give it 3 stars because of that.

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  30. Tommysteed

    Very slow and not good programming form.

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  31. Tommysteed

    Very slow and not good programming form.

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  32. Mary Chapman

    Very useful course and it really introduced me to the tidy verse package

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  33. Mary Chapman

    Very useful course and it really introduced me to the tidyverse package. Its so convenient

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  34. Claudia Macrone

    This is an absolutely brilliant course. The flow of the content is seamless.

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  35. Claudia Macrone

    This is an absolutely brilliant course. The flow of the content is seamless.

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  36. David Bolanos

    The instructor definitely knows her stuff but maybe not the best at explaining things. Kind of a fast course and for some reason, some videos were very blurry.

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  37. David Bolanos

    The instructor definitely knows her stuff but maybe not the best at explaining things. Kind of a fast course and for some reason, some videos were very blurry.

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  38. Selvia Jain

    Got me started with tidyverse pkg of R

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  39. Selvia Jain

    Got me started with tidyverse pkg of R

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  40. Thomas Daly

    Code did not work. Instructor unresponsive and rude.

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  41. Adhrit Pathak

    Excellent course

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  42. Adhrit Pathak

    Excellent course

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  43. Jahed Iftekhar

    Course content was simple and thorough. Minerva is very clear and entertaining while laying down the R. I hope more courses are on the way! Cheers!

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  44. Jahed Iftekhar

    Course content was simple and thorough. Minerva is very clear and entertaining while laying down the R. I hope more courses are on the way! Cheers!

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  45. Mahbub hasan

    Amazing course and amazing instructor! Really, you won’t regret any penny you spent on the course! I’m eager to learn more R tricks from Minerva! Thank you for great content!

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  46. Mahbub hasan

    Amazing course and amazing instructor! Really, you won’t regret any penny you spent on the course! I’m eager to learn more R tricks from Minerva! Thank you for great content!

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  47. Evanka Juin

    Great information at an affordable price.

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  48. Evanka Juin

    Great information at an affordable price.

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  49. Fayssal Hamdi

    So far, it has been great. Lots of really good and practical information !!!!

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  50. Sarah Dalton

    It will not bore you at any moment, it is really fun learning R with this course.

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  51. Mouni Ishaar

    Very detailed treatment of data wrangling

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  52. Anushka Jones

    Its a thorough course on tidy verse in R

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  53. Venar Salti

    It’s been great, just the right amount of difficulty for my level.

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  54. Arthur D.

    Poor thing prepared by a likely great expert. I completed the course in hope that things will be ordered and explained in latter lessons, but I disappointed. Best universities have taught R Ms Prof. Minerva, as she advertises… Hmmm…., I would feel very ashamed if students gave me remarks see others’ comments and questions and I would change nothing by months, e.g.: not working, lacking or invisible code (e.g. #40), no appropriate data (lacking csv #34), videos in resolution I guess 240 x 160 or sthg alike (#36, #38, …), so the code within RStudio is completely invisible … Last but not least: what the $^#@$# explaining OLS thoroughout the entire lecture ( #39) has to do with tidyr/dplyr?? It was very unpredictable and chaotic, copy pasting code, rollercoaster with showing tables of results within code window by scrolling up and down, messing with < ... I still had to google different issues, as the course did not explained them (e.g. do(head(blah, blah); complete.cases/na.omit/drop na; using class() instead of typeof(), ; etc. etc.). The instructor has unquestionable knowledge and practice, and I found some practical advices hence two stars but in sum it was a waste of time.

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  55. Kaushal

    Excellent & Knowledgeable

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  56. Jojo Statis

    It really does a good job of introducing such as important R package

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  57. Jahid Jakaria

    There are a number of online courses on tidy data available , but I found this to be one of the best. Lectures were based on real life problems. Course content delivery by the Instructor was very good.

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  58. Tabu Zerin

    Was my first and best experience of learning online. I think it’s the best way of learning python because you get to understand the fundamentals from really experienced instructors.

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  59. Namira Nazma

    This is a fantastic course, it is challenging and you really need to dig in to get the most out of it. I would recommend it if you want to learn tidy data completely.

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  60. Susan Tang

    Good but basic

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  61. Sabita Farah

    It is a super learning friendly course. Not too extremely hard, but also a little bit challenging sometimes. That’s why it motivates learners and keeps them keeping learning.

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  62. Rabbi Kajol

    I’ve taken a lot of various courses on tidy data, and I can safely say this crash course is a nice way to bridge the gap between baby’s first code and actual practical uses.

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    Tidy Data: Updated Data Processing With tidyr and dplyr in R
    Tidy Data: Updated Data Processing With tidyr and dplyr in R

    $14.99

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