DataScience with R

 

R language, a skill required to set up a career as Data analyst or Data Scientist. Through this course learn to handle, store and analyse data. 

The course is designed in, easy -to - understand and learn format, and is a perfect way to start your Data Science journey.

 

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What will you learn?

HubSpot Video
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WHAT WILL YOU GET ?

WHAT WILL YOU GET ?


  • 5-hour Training
  • Mock Exams
  • Course Completion Certificate
  • 24/7 Instructor Support

Learning Experience

SKILLS

Learn to the tools that will enable you to handle raw data. Through this course you will be able to critically assess, analyse and shape new data science projects 

OUTCOME

Become a data scientist or data analyst learn to tackle professional data science projects with full confidence

WHO THIS COURSE IS FOR ?

Anyone who wants to set up a career as Data Scientist or Data Analyst can apply for this. 

No prior knowledge is required to apply.

learning experience

Program Curriculum

  • Inbuilt functions in R
  • Operators in R
  • Data exploration
  • Data structures in R

 

  • Removing N/A values
  • Selecting rows and columns
  • Combining different functions
  • SQL based functions
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  • Types of Graphs ( Bar Graph, Histogram & Density Plot )

  • Types of Graphs ( Box Plot, Facet Grid & Scatter Plot )

  • Mini Project ( Basic project using all the concepts learnt in the above videos )

 

Upcoming Schedules

 

Our instructors, mentors, and support team gear themselves towards ensuring that all students fare well in the program and achieve the success their efforts deserve

On-demand self-learning
Access to video lectures, simulated tests, and 24*7 support.
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USD 15
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Group Training

For group enrolment of 5+ students or custom training requirements.

Certificate

certificate

Where some of
our global
alumni work

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Student Experiences

  • Nicole

    Nicole

    Thanks to mock exams I could understand the language in much better way. 

  • Andrews

    Andrews

    Good course, was pretty helpful

Be a certified R Programmer

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