Certificate Program in Data Analytics using R Programming

Learn concepts of data analytics using R programming with hands-on case studies

paid 18 Students Enrolled
Created By Imurgence Learning Last Updated Thu, 12-Sep-2019
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Description
This Imurgence course dives deep into data analytics, R interface, and data handling by thoroughly understanding data structure and data types in R, R internal functions, data manipulation and data visualisation.
Free Courses Included

  • Upon successful completion of this course, the learner will be skilled in R programming to perform data analytics on business data.

Target Audience
This course is ideal for anyone looking to improve their skills or start a career in data science, business analytics, artificial intelligence (AI) or machine learning.

Access Time frame
One Year from the date of access.

Prerequisites
There are no prerequisites for this course, but a general understanding of statistics and an inclination to learn coding would benefit the learner.

Type of Certification
Certificate of Completion

Format of Certification
Digital

Professional Association/Affiliation
The certificate is issued by Imurgence an autonomous institution. The certificate is endorsed by SiCureMi an IIT Delhi incubated Health care analytics company.

Method of Obtaining Certification
Upon successfully completing 80% of this course, the learner will be able to download digital copy of the Certificate and Mark sheet from the Certificates section . The Mark Sheet will keep on updating as the learner progresses towards 100% completion.



Curriculum For This Course
60 Lessons 6:28:01 Hours
Introduction to Data Analytics
6 Lessons 00:40:33 Hours
  • Overview and Scope of Analytics 1.1 00:10:57
  • Overview and Scope of Analytics 1.2 00:08:26
  • Overview and Scope of Analytics 1.3 00:12:24
  • Introduction to R 1.4 00:04:14
  • Introduction to R 1.5 00:02:02
  • Application of Analytics 1.6 00:02:30
  • R Base and R Studio Installation 2.1 00:04:32
  • How to Use R Studio 2.2 00:02:34
  • How to Use R Studio 2.3 00:08:56
  • Data Types 3.1 00:05:14
  • Data Types 3.2 00:06:33
  • Data Types 3.3 00:04:01
  • Data Types 3.4 00:07:42
  • Data Types 3.5 00:05:48
  • Data Types 3.6 00:09:25
  • Arithmetic Operators in R 3.7 00:04:54
  • Relational Operators in R 3.8 00:06:24
  • Logical Operators in R 3.9 00:09:12
  • Assignment Operators in R 3.10 00:04:09
  • Matrix 3.11 00:05:54
  • Matrix 3.12 00:02:01
  • Matrix 3.13 00:06:40
  • Matrix 3.14 00:06:20
  • Matrix 3.15 00:12:19
  • Factors 3.16 00:04:56
  • Factors 3.17 00:06:59
  • Factors 3.18 00:09:31
  • Factors 3.19 00:03:37
  • Lists 3.20 00:04:51
  • Lists 3.21 00:07:08
  • Data Frames 3.22 00:04:46
  • Data Frames 3.23 00:08:04
  • Data Frames 3.24 00:05:13
  • Data Frames 3.25 00:09:02
  • if statement 4.1 00:06:18
  • if else statement 4.2 00:13:17
  • Switch Statement 4.3 00:04:05
  • Repeat loop 4.4 00:05:47
  • While loop 4.5 00:03:17
  • For loop 4.6 00:02:13
  • Apply Function 5.1 00:04:02
  • Apply Function 5.2 00:07:53
  • Apply Function 5.3 00:04:27
  • Apply Function 5.4 00:02:14
  • Lapply Function 5.5 00:04:41
  • Sapply Function 5.6 00:10:08
  • Vapply Function 5.7 00:02:26
  • Tapply Function 5.8 00:03:57
  • User-defined Functions 5.9 00:07:32
  • User-defined Functions 5.10 00:08:32
  • Import and Export of Data 6.1 00:05:15
  • Sample Function 6.2 00:10:55
  • Data Exploration in R 6.3 00:06:36
  • Data Exploration in R 6.4 00:09:43
  • Data Exploration in R 6.5 00:05:44
  • Missing Values 6.6 00:08:49
  • Basic Plot 7.1 00:08:04
  • Plotting Categorical Data 7.2 00:04:54
  • Histogram 7.3 00:10:14
  • Pie Chart 7.4 00:09:40
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Student Feedback
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Reviews
  • Mon, 13-May-2019
    Aditya patil
    I needed to start as researching the content is an unending task, I took the 2k course by paying 1st  installment of 1K and now I am more aware of what Data Science is. The chat group is good and helps me correct my learning course in an timely manner.
  • Tue, 28-May-2019
    Pradeep Gandhi
    The course is good and basically I find it as a good deal, I completed my 2K course and now learning the complimentary courses. I am a working professional, hence I will have to plan and join the advance R courses, which I didn't enrol for earlier.
  • Mon, 22-Jul-2019
    Fatima Shaikh
    I am pursuing last year of Computer Science with Data Science as an adhoc subject, I have discovered that this course is inconceivably useful and significant. Great work all round and I will certainly be looking at other courses you may have available.
  • Tue, 23-Jul-2019
    chetan tyagi
    A The course outlines the significant parts of Data Science particularly for learners and beginners like me.
  • Thu, 25-Jul-2019
    Kush Verma
    Substantially more volume of learning than I anticipated. Math training is genuinely satisfactory. The models are concrete and striking. Great online class for beginning data science journey.
  • Fri, 26-Jul-2019
    naksh mahajan
    Studying Data Science at Imurgence has been an extraordinary learning experience for me. They constantly instill invaluable learning through online modules coupled with their Technical chat group. The technical team was were very supportive when it came to clarifying doubts.
  • Mon, 29-Jul-2019
    hiza das
    This is an awesome course for somebody who is interested about the Data Interpretation/extraction, however, a learning made me realize how immense the subject is. One can start with just about zero information of math and programming and end up with a generally excellent comprehension of these concepts. After this course, you will have solid fundamental built up, which ideally is required to pursue career opportunities in Data Science.
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Includes:
  • Self-Paced Training
  • 6:28:01 Hours Videos
  • 60 Lessons
  • Certification Course
  • All Levels