My course will help you implement the methods using real data obtained from different sources. Many courses use made-up data that does not empower students to implement R based data science in real life. After taking this course, you’ll easily use packages like caret, dplyr to work with real data in R. You will also learn to use the common social media mining and natural language processing packages to extract insights from text data.
I will even introduce you to some very important practical case studies - such as identifying important words in a text and predicting movie sentiments based on textual reviews. You will also extract tweets pertaining to trending topics and analyze their underlying sentiments and identify topics with Latent Dirichlet allocation. With this Powerful course, you’ll know it all: extracting text data from websites, extracting data from social media sites and carrying out analysis of these using visualization, stats, machine learning, and deep learning!
Start analyzing data for your own projects, whatever your skill level and Impress your potential employers with actual examples of your data science projects.
HERE IS WHAT YOU WILL GET:
Data Structures and Reading in R, including CSV, Excel, JSON, HTML data.
Web-Scraping using R
Extracting text data from Twitter and Facebook using APIs
Extract and clean data from the FourSquare app
Exploratory data analysis of textual data
Common Natural Language Processing techniques such as sentiment analysis and topic modelling
Implement machine learning techniques such as clustering, regression and classification on textual data
All the data and code used in the course has been made available free of charge and you can use it as you like. You will also have access to additional lectures that are added in the future for FREE.
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
Reviews and Ratings
View More Reviews
Frequently Asked Questions
It is an online tutorial that covers a specific part of a topic in several sections. An Expert teaches the students with theoretical knowledge as well as with practical examples which makes it easy for students to understand.
A Course helps the user understand a specific part of a concept. While a path and E-Degrees are broader aspects and help the user understand more than just a small area of the concept.
A Course will help you understand any particular topic. For instance, if you are a beginner and want to learn about the basics of any topic in a fluent manner within a short period of time, a Course would be best for you to choose.
We have an inbuilt question-answer system to help you with your queries. Our support staff will be answering all your questions regarding the content of the Course.
Frequently Bought Together
Black Friday Excusive Offer
Use Coupon -
To Avail Flat 5% Extra Discount
Combo Price: 0