R: Learn to Program in R & Use R for Effective Data Analysis
R: Learn to Program in R & Use R for Effective Data Analysis
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 4.5 Hours | 304 MB
Genre: eLearning | Language: English
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 4.5 Hours | 304 MB
Genre: eLearning | Language: English
Go deeper into Data Analysis. Learn R—Google & Facebook employees use it to do data manipulation and management.
This course is about learning R Tool which is one of the most popular Analytical Tool used in the Industry.
Why learning R will make a difference / Why this Course ?
- Professional Relevance :
R is gaining popularity day by day ; companies like Facebook, Google are using R in extensive manner. Demand for the tool is increasing as it is available for free.
- Put your Resume in spotlight :
In most of the Data Analyst Resume you will find SAS/SPSS and other conventional tools ; by learning R you can add extra points to your Resume.
- Its easy to Learn R :
R is an opensource language ; it is available for free. Huge R community is adding to the functionality of R daily . All the tutorials/code are easily available.
Materials Included :
- Materials in the form of attachments are included with the session itself ( wherever necessary)
Structure of the course :
The course has 5 sections with 15 lectures. It is designed to introduce you to foundational topics leading to more complex ones as you progress.
Section 1: Know your R Tool
Section 2: Data Manipulation : Use of Data types and Data structures
Section 3: Data Management : Packages and File import/export
Section 4: Advance Use : Logical operation and Merging in R
Section 5: Text Analytics Project : Learn how to create wordcloud
Duration of the course :
The course has 5 sections with 15 lectures and the overall duration of the course is 2.5 hours.
- Its easy to Learn R :
R is an opensource language ; it is available for free. Huge R community is adding to the functionality of R daily . All the tutorials/code are easily available.
Materials Included :
- Materials in the form of attachments are included with the session itself ( wherever necessary)
Structure of the course :
The course has 5 sections with 15 lectures. It is designed to introduce you to foundational topics leading to more complex ones as you progress.
Section 1: Know your R Tool
Section 2: Data Manipulation : Use of Data types and Data structures
Section 3: Data Management : Packages and File import/export
Section 4: Advance Use : Logical operation and Merging in R
Section 5: Text Analytics Project : Learn how to create wordcloud
Duration of the course :
The course has 5 sections with 15 lectures and the overall duration of the course is 2.5 hours.
R: Learn to Program in R & Use R for Effective Data Analysis
