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- 84% Data Science:Data Mining & Natural Language Processing in R

Data Science:Data Mining & Natural Language Processing in R

$14.99Track price

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8.7/10 (Our Score)
Product is rated as #13 in category R

MASTER DATA SCIENCE, TEXT MINING AND NATURAL LANGUAGE PROCESSING IN R:

Learn to carry out pre–processing, visualization and machine learning tasks such as: clustering, classification and regression in R. You will be able to mine insights from text data and Twitter to give yourself & your company a competitive edge.

LEARN FROM AN EXPERT DATA SCIENTIST WITH +5 YEARS OF EXPERIENCE:

My name is Minerva Singh and I am an Oxford University MPhil (Geography and Environment) graduate. I recently finished a PhD at Cambridge University (Tropical Ecology and Conservation).
I have several years of experience in analyzing real life data from different sources using data science related techniques and producing publications for international peer reviewed journals. Over the course of my research I realized almost all the R data science courses and books out there do not account for the multidimensional nature of the topic and use data science interchangeably with machine learning.
This gives students an incomplete knowledge of the subject. Unlike other courses out there, we are not going to stop at machine learning. We will also cover data mining, web–scraping, text mining and natural language processing along with mining social media sites like Twitter and Facebook for text data.

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: Data Science:Data Mining & Natural Language Processing in R

Duration

13 hours

Year

2020

Level

All

Certificate

Yes

Quizzes

Yes

26 reviews for Data Science:Data Mining & Natural Language Processing in R

4.2 out of 5
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  1. Nicholas Haener

    issues with preloaded datasets not being covered

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  2. Ronald Gik

    innovative and useful method.

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  3. Reggie John

    Very well put together data science course

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  4. Anil Kumar Pandey

    Useful for me. Very knowledgeable program.

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  5. Sunny Lamba

    Kind of slow for people with prior knowledge of image processing. But I suppose absolute beginners will benefit from having a detailed overview

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  6. Posey Parker

    Its a very information dense course on data mining

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  7. sushma Pandey

    Knowledgeable and informative

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  8. Maureen

    well explained

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  9. Irfan Chaudry

    Very mechanical course that only teaches you how to run different codes in R without giving any detailed explanations on how and why different input values in different algorithms impact these algorithms and how the algorithms work.

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  10. Lucas Rex

    Perfectly explained for beginners. I wanted a structured course for a long time and finally found one.

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  11. Arnab Roy

    1) The Course coverage is good as its touched upon all critical concepts of data analytics. 2) This course is not meant for students who does not have any previous experience in data Analytics 3) The way things are explained are not clear enough, most of the time things are simply getting read from doc/ppt and no clear explanation given in why it is used and what the best industry practices around it. 4) Most of the time code implementation touched upon the use of too many packages which is confusing for someone new to R and analytics.At times it it will be better to explain only the best efficient way to achieve it with 1 or 2 examples. 5) Course design is absolutely pathetic, there is no provision to practice real time case studies. Quizz questions are not upto the mark (like asking what was the value of the in the previous example, which is pathetic as even if we are taking notes we will definitely not going to take note on the outcome of the code). 6) Video quality sometime going blur.

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  12. Thanachai Siriudomlert

    Good start

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  13. Pavel Hoq

    Really enjoyed the course! Excellent resources and the combination of theory and practical is just awesome! Data mining is really easy for me know!

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  14. Ishita Islam

    Great explanation! It is really an amazing course. As I had some general idea of Natural Language Processing, This course was so easy for me!

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  15. Maksud Alom

    I absolutely enjoyed this course, very informative and very important resources! New things are being uploaded continuously. Excellent course for data mining!

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  16. Faiza Choudhuri

    There could have been more information about the Data Mining & Natural Language Processing in R. Really enjoyed the course. Really nice and comprehensive course!

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  17. Maik Prothmann

    examples and files are not in a good structure. The video of course 58 does not fit together with the presented content. No voice o at the end of course 59. Overall it is a good overview of the topics DM and NLP in R

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  18. Hia Sumaiya

    Content is good and well explained in simpler way so its easy to understand. I believe no one could explain such a detailed way! Thanks a lot!

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  19. Sawom Tweety

    Phew…! Finally finish watching all sections. Really loving the course and the way instructor delivers and clears our concepts are tremendous! Very deep, practical knowledge, very good teaching style!

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  20. Rainuma naurin

    The course has great content and materials. Sessions are awesome! I must say this is a premium one. I learned so many things. Data mining is fun!

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  21. Snidha Sneha

    Excellent resource for learning data mining & natural language. It is truly valuable. I wish there were more practice problems during the course. Thank you for such great course!

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  22. Neamul Ishak

    Great course & lots to learn in this course! The sessions are very very easy to understand. Resources are very good. Really enjoyed!

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  23. Gaurav Jain

    Instructor is less bothered about really teaching you something but just wrapping up quickly the topics she has to cover.

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  24. Greta Wong

    A lot of data mining

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  25. Elton Pillay

    Course could be more direct. Some users might not understand the point or principles of variables. The introduction could be on the required programs and purpose of it. To some it up, keep it short and sweet.

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  26. KM Maurya

    The course is very valuable for my work and has immense potential for its useful applicability. the instructor has a fantastic way to bring home various aspects of the contents of the course.

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    Data Science:Data Mining & Natural Language Processing in R
    Data Science:Data Mining & Natural Language Processing in R

    $14.99

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