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- 86% R Programming: Advanced Analytics In R For Data Science

R Programming: Advanced Analytics In R For Data Science

$12.99Track price

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8.8/10 (Our Score)
Product is rated as #11 in category R

Ready to take your R Programming skills to the next level?

Want to truly become proficient at Data Science and Analytics with R?

This course is for you!

Professional R Video training, unique datasets designed with years of industry experience in mind, engaging exercises that are both fun and also give you a taste for Analytics of the REAL WORLD.

In this course you will learn:

The more you learn the better you will get. After every module you will already have a strong set of skills to take with you into your Data Science career.

Instructor Details

My name is Kirill Eremenko and I am super-psyched that you are reading this! Professionally, I am a Data Science management consultant with over five years of experience in finance, retail, transport and other industries. I was trained by the best analytics mentors at Deloitte Australia and today I leverage Big Data to drive business strategy, revamp customer experience and revolutionize existing operational processes. From my courses you will straight away notice how I combine my real-life experience and academic background in Physics and Mathematics to deliver professional step-by-step coaching in the space of Data Science. I am also passionate about public speaking, and regularly present on Big Data at leading Australian universities and industry events. To sum up, I am absolutely and utterly passionate about Data Science and I am looking forward to sharing my passion and knowledge with you!

Specification: R Programming: Advanced Analytics In R For Data Science

Duration

6 hours

Year

2020

Level

Intermediate

Certificate

Yes

Quizzes

Yes

48 reviews for R Programming: Advanced Analytics In R For Data Science

4.3 out of 5
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  1. Jenson Victor Rozario

    Awesome course. Well structured and narrated.

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  2. Raza Mustafa

    I am learning new things in this course. Kiril is an amazing instructor.

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  3. Tom Buxton

    Kirill s courses are always well worthwhile. Some good concepts here, well introduced.

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  4. Mike Messer

    Good overview, enjoy watching the videos, good pace.

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  5. David Crawford

    Great interactive course for understanding the functions and capabilities of R!

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  6. Riyaz Ali Mohammad

    Great One!

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  7. Ema Leskov ek

    Very good instructors, good course content, even at trouble you can just ask a question and get answer easily.

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  8. Maxim Bannikov

    This guy is amazing. His tutorials make me wet.

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  9. Gajendra Shrestha

    Very good course. Easy to follow instruction. Recommend everyone who is looking some advance course on R.

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  10. Andrea Lorenzoni

    Really good course on R, you need to know the basics of R, the introduction course is reccomended

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  11. Venkata Kumar

    The Course was just Awesome.

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  12. Kimberly Brown

    I will have a better idea after the course. I wish all the other websites mentioned in the welcome course and sample datasets were placed in a resource link.

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  13. Carlos Loria

    so bad!

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  14. Emad Sakkijha

    Great Course !

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  15. Lancer Brown

    This is such a great course, I really appreciate the ability to code in parallel with the course, as well as all of the examples that are provided. It makes me really want to do more with R.

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  16. Dirk Raczek

    Like the course very much in the way the content is presented. Plus a lot of practical insights!

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  17. Nicole Gee

    The course was helpful and the instructor was very clear!

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  18. Ashwini Atul Renavikar

    Speaks too fast. not able to follow

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  19. David E. Pollack

    I will review again when the course is over, so far mediocre, but useful.

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  20. John Joachim

    Wonderfully instructive course (as usual). You are an excellent and engaging instructor. My one complaint about this course (and this is so minor, but it focuses on a matter early on so therefore could be a deal breaker) was that you neglected to instruct the Student during the initial video (where you’re demonstrating the .aes function) how to call the library after it’s installed. Sure, we can see the graphic on our computer screen; but you glanced over this detail in the heat of your excitement (which is frequently an asset to your courses).

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  21. Jamie

    The exercises are very clear and I understand R in more detail. It is a very good course to learn specific data manipulation exercises, especially if you have never studied programming.

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  22. Ali Parahoo

    Course was amazing. Explanations were super clear and the notes/examples are spot on. I was always confused with concepts such as apply and this really helped a lot. Sadly this one does not have any assignments or homework like the previous course but its still amazing material!

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  23. Justin Holder

    I haven t learned anything useful yet and it s been 3 videos! Very slow start, just 2. Ideas of the instructor giving overviews and one instructing you to download a data set!

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  24. Adam Masboy

    A very good course presented in a way that makes grasping concepts much easier. I would highly recommend this course to anyone wanting to improve their R programming skills

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  25. Santiago Del Castillo

    After completing both courses (A Z and Advanced programming in R), if feel that you do not gain the core programming techniques that you expected after reading the title and the description. Despite this, Kirill it’s an outstanding instructor, and the data, exercises and explanations are impeccable and professional. The only thing that bothered me and the reason that I’m not giving this course a 5 star, even though I love Kirill courses, is because I feel that the courses could be merged as one and advertise it like R Introduction, the titles are a bit misleading but that’s a personal opinion. I again emphasize how good Kirill is as a instructor and how much he is contributing to the DataScience enthusiasts.

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  26. Flavio Cese Arantes

    This course said to download the dataset within a site that we don’t have even access.. We need to sign up to another site and even though we still don’t have access to the data.

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  27. Shane Urban

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  28. Alexander Bragg

    Bringing my R skill to the next level. I love the way that this course is laid out.

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  29. Jeffrey Palmer

    Good addition to the previous course.

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  30. Gianmarco

    Some aspects were too easy.

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  31. Yusuf firat

    It is easy to follow up.

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  32. Piotr Franczak

    Another awesome course from Kirill. Highly recommended!!!

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  33. Monica Yang

    Kirill Eremenko is the best instructor!

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  34. Shailesh Sankaran

    yes it is a good match , would like more in depth coverage on R

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  35. Alvin Fahdiansyah Helmi Yudha

    It’s very helpful, especially for hacking my career. Thanks!

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  36. Yudhistira A Satryo

    Clear and concise, not convoluted.

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  37. Siamak Izadkia

    I would like to see more on tidyverse topic and usage

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  38. Khasan Nazarov

    So far the course seems pretty interesting for me, and personally I am having doubts in my skills prior to getting in solving the upcoming problems ))

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  39. Ramisha Ali Chowdhury

    Really loved this course. I completed the R programming A Z first then this one and overall really happy with the quality for both of them. I really love R and wish there was an even more advanced/challenging R course. All in all, thanks to the team behind this course, especially the instructor. The instructor’s voice is very engaging (not monotone) so it keeps you focussed throughout!

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  40. Nenad Mihelcic

    Excellent content, very good examples and all well explained.

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  41. Pritika Sodhi

    Amazing. Really appreciate your teaching methodology which made it very interesting and simple.

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  42. Ziyu Zhou

    I really like the Apply functions section, it’s super helpful!

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  43. Satya Parmesh

    Great content

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  44. James Wilson

    Considering this is an advanced course, I actually found the delivery really easy to understand and I’d highly recommend it. The way each concept is explained is logical and simple to digest. I’ll definitely be getting other courses by this instructor.

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  45. Priyanka

    The interpretation is very easy to understand and an overall good course.

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  46. John Karuitha

    Greatest course, moreso if one desires to learn lists and missing value imputation

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  47. Sachin basavanal

    To have the better understanding of things going on in Machine learning in Data science using R and Python, I suggest u to complete the basic( R programming A Z) and This advanced course(R programming advanced). This advanced course may be short one but you get to learn important things in this course.

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  48. Mustafa Egemen zgen

    It was good to learn some additional information about R. Thank you!

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    R Programming: Advanced Analytics In R For Data Science
    R Programming: Advanced Analytics In R For Data Science

    $12.99

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