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Exploratory Data Analysis for Data Science using R

Help businesses gain a competitive advantage. Learn how to use graphical and numerical techniques to quickly analyse large data sets through our exploratory data analytics certification program.

30+
Hours
24x7
Online LMS
Online
Quizzes
Hands-on
Assignments

30+
Hours

24x7
Online LMS

Online
Quizzes

Hands-on
Assignments

Knowledge
Partner

₹ 13,200

Ask us everything about the program

Exploratory Data Analysis for Data Science using R

Overview

Certification

A certificate Exploratory Data Analysis using R will make you eligible for a career as a Data Analyst.
Job Opportunities

Post the exploratory data analytics certification, you’ll be able to find better job opportunities.
Who Should Attend

Managers, analysts, business intelligence professionals, product managers.
Salary Packages

The average pay for an entry-level Data Analyst is ₹4.8 lakhs per year.
Expert Faculty

Learn from experts with a vast experience in the use of R programming for data analysis.

Certification

A certificate Exploratory Data Analysis using R will make you eligible for a career as a Data Analyst.

Job Opportunities

Post the exploratory data analytics certification, you’ll be able to find better job opportunities.

Who Should Attend

Managers, analysts, business intelligence professionals, product managers.

Salary Packages

The average pay for an entry-level Data Analyst is ₹4.8 lakhs per year.

Expert Faculty

Learn from experts with a vast experience in the use of R programming for data analysis.

About Course

Want to build a career in the field of data analytics and visualization? Exploratory data analysis is a very helpful approach for summarizing and visualizing the important characteristics of a data set, helping organizations make better business decisions. The most popular tool for exploring and analysing data is R – an open source programming language with powerful data visualization capabilities.

Manipal ProLearn’s course in Exploratory Data Analysis using R will provide you with an introduction to the R programming language and demonstrate how R can be used for exploratory data analysis and use that data in strategic predictive modelling initiatives.

What skills you learn

After completing the exploratory data analytics certification, you’ll be considered as a strong and competent data analyst. The course will help you to:

Explain the importance of EDA as the first step before modelling.
Describe datasets in terms of variables and their types.
Identify the central tendency of data using visualizations.
Describe the need for dimensionality reduction and approaches to implement the algorithms of association and cluster analysis.
Identify and handle the missing values and outliers in datasets.
Learn the need for different data transformations.

Who Should Attend this course

Engineers and non-engineers looking to perform statistical data analysis

Managers and analysts interested in understanding statistical data analysis

Business Intelligence professionals entering data analytics projects

Data Science aspirants

Engineers and non-engineers looking to perform statistical data analysis	Managers and analysts interested in understanding statistical data analysis
Business Intelligence professionals entering data analytics projects	Data Science aspirants

Key Features

Hands-On R Assignments

Learn R programming for data analysis and understand its importance in EDA with hands-on practical assignments.

Experiential Learning Model

The comprehensive curriculum of our Exploratory Data Analysis in R course is taught through videos, reading material, projects, and assignments.

Learn Relevant Techniques

Learn important EDA techniques such as handling outliers, dealing with missing values, data imputation, data transformation, and cluster analysis etc.

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Course Curriculum

1.1 Essentials of Exploratory Data Analysis: Topics Covered

Basics of EDA
Importance of EDA in Data Science domain
Key EDA techniques

1.2 Essentials of Exploratory Data Analysis: Learning Objectives

Define EDA
Explain why EDA is needed in the field of Data Science
Describe the important techniques in EDA

1.3 Foundational Concepts of Business Statistics: Topics covered

Variables & data types
Sampling techniques & samples
Frequency distribution and central tendency
Variability & shape
Relationship among variables

2.1 Foundational Concepts of Business Statistic: Learning Objectives

Describe central tendency of data and key statistics
Describe variability and shape of data in dataset
Identify association among variables
Develop insight into missing values and outliers

2.2 Foundational Concepts of Data Handling: Topics covered

Data for EDA
Data types and formats
Data quality
Data analysis types and purpose
Handling missing values in data
Data transformation for EDA

2.3 Foundational Concepts of Data Handling: Learning Objectives

Describe different types of data in enterprises
Describe the importance of data quality & cleansing
Explain the purpose of data analysis & types
Describe method to treat missing values

3.1 EDA Techniques: Topics Covered

Handling categorical & numerical variables
Plotting EDA graphs
Dimension reduction
Association analysis
Clustering
Factor analysis & PCA

3.2 EDA Techniques: Learning Objectives

Visualize central tendency, shape, distribution of dataset
Identify outliers and missing values
Explain the need for data transformation and types
Implement the algorithms of association & clustering
Describe factor analysis and Principal Component
Analysis (PCA) for dimensionality reduction

Frequent Questions we get

Why should I take up a Manipal ProLearn course?

Manipal ProLearn, a part of Manipal Global Education Services, offers a variety of professional certification courses across Technology, Digital Marketing, Data Sciences, Project Management, and Finance domains.

Carrying forward the Manipal legacy of over six decades in education, Manipal ProLearn helps working professionals and students to enhance their skills and fast-track their careers. Manipal ProLearn has partnered with industry leaders like Google, Microsoft, AWS Educate, EY, Sandbox, Manipal Academy of Higher Education, and Chartered Institute of Management Accountants (CIMA) to provide quality courses that add to your skill set.

We have redefined learning in the professional certification program space with a wide range of course options taught by expert faculty on an award-winning learning platform. Benchmarked against global certification standards of PMI, CIMA, PMBOK etc., our course content is designed and developed by industry experts. Not only are these certification courses good for skill enhancement, but with industry-recognised certification, they are also a great value-add to one's resume. Over the last two years, more than 80,000 learners have advanced their careers with the help of our courses.

Do I have to clear any entrance (screening) test before taking up the course?

Currently, none of the courses has an entrance test. But some certifications might have their prerequisites, which are mentioned on the respective course pages.

What type of support can I expect in terms of course material, assessment, evaluation, feedback, discussion forums, mentoring etc.?

Once you have enrolled in a course, you will receive a welcome e-mail and a telephonic call from our customer support team. The features offered as part of the course will be explained clearly by our representative and also will also be listed in the mail correspondence.

Besides, our Customer Support team is available between 8 AM to 8 PM every day to help students on any course related issues.

Will I be able to access the course material post-completion too?

The course material access will be active till the validity of your course which is 12 months from the date of your enrolment.

How will successful completion of the course improve my job prospects?

Manipal ProLearn gives learners an edge when it comes to employment opportunities. By partnering with industry leaders to provide quality courses, we add to your individual skill set and make you industry ready. Also, the constantly expanding list of top-end knowledge partners ensures that learners are exposed to the latest developments and trends across sectors.

What should I do if I face any issues?

In case you come across any issue, please write to us at support@manipalprolearn.com and we will be happy to assist you. For a quicker response, use your registered e-mail id to reach out to us. Our Helpdesk is also available at 1800-103-5941 (Toll-free within India) and +91-80-42515887 and it is operational between 10:00 AM and 7:00 PM IST (Monday through Saturday). All tickets will be addressed within 48 hours.

Do you have a refund policy if I am not satisfied with the course and want to withdraw? Is there a timeframe for the same?

All refund requests received by Manipal ProLearn are processed through the same gateway within 14 working days of receiving the request. For any exceptional cases where you have not received the refund amount, please write to us at support@manipalprolearn.com. We shall get back to you with an update on your refund request or valid reasons in case of rejections.

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