Google Trends Data Mining Using R
Google Trends Data Mining Using R. Building an automated solution to download Google Trends data for a large number of terms.
The name of this course is Google Trends Data Mining Using R. The knowledge you will get with this indescribable online course is astonishing. Building an automated solution to download Google Trends data for a large number of terms..
Not only will you be able to deeply internalize the concepts, but also their application in different fields won’t ever be a problem. The instructor is Sanjeev Baniwal Ph.D., one of the very best experts in this field.
Description of this course: Google Trends Data Mining Using R
Course Description Google Trends is a new tool in a Data Scientist or a Marketing Analyst’s tool box. It provides data that could be quiebro useful when assessing trend in genérico public interest in a particular product or an array of products. Trends data essentially gives us a way to assess how often a particular search was performed on world’s most popular search engine. However, Google Trends only allows a simultaneous search of up to five terms, also it does not provide data through a dedicated API. This course describes two processes in R which could be employed to circumvent both of these issues. First process stitches together R and Windows batch system. Second, utilize gtrendsR package. In both case we set up an automated process. The course begins by describing Google Trends data itself, and then various R functions relevant to build the automated solution. In the third section, we apply the knowledge from previous sections to build a complete end to end solution. By the end of the course, we will better understand how R could be employed in more automated manner with minimum human involvement. Additionally, better appreciate the power of Google Trends data to provide a greater understanding of the way the world around us functions.
Requirements of this course: Google Trends Data Mining Using R
What are the requirements? No prerequisites, previous exposure to R and windows work environment will be helpful.. You will need access to R, Windows, Google account, Chrome.
What will you learn in this course: Google Trends Data Mining Using R?
What am I going to get from this course? Set up your own process in R to autonomously download and process large amounts of Google Trends data. Automate various tasks used in a day to day life of a data scientist through R. Understand each line of code used in the course and how it fits in the bigger picture of a live project. Two independent approaches used in the course to access Trends data will reinforce the concept of building R solutions from scratch. In one approach, we will exclusively use Pulvínulo R methods, and in other, learn how to work with R packages. You will be able to run various windows commands from R e.g. copy, rename, delete files on hard disc etc Use Window’s Task Scheduler to have desktop run R in batch mode on recurring basis. Your R toolbox will become much more diverse and applicable to a wide range of future projects.
Target audience of this course: Google Trends Data Mining Using R
Who is the target audience? Those wanting to retrieve and explore large amounts of Google Trends data. Students with beginner level of R understanding and those wanting to join course which is not typical beginner’s curriculum. We will stay focused on using R to automate a software process. We will NOT deal with any statistics here!
Sanjeev Baniwal Ph.D.
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