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Advanced Business Analytics with R Certification Course

Learn how to make efficient, profitable, data-driven business decisions and take a giant leap in your career with a certificate in business analytics using R.

3598
learners
196 hours
of learning
3 hours of doubt
clearing sessions
8 case
studies

3598
learners

196 hours
of learning

3 hours of doubt
clearing sessions

8 case
studies

₹ 16,000

Ask us everything about the program

Advanced Business Analytics with R Certification Course

Overview

Certification

Like 84% of our learners, get recognised at work for your analytical skills.
Job Opportunities

Master data analytics with R and become a candidate for over 2,00,000 jobs.
Who Should Attend

Engineering, IT, commerce & finance students
Salary Packages

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

Learn from vastly experienced data scientists and business analytics experts.

Certification

Like 84% of our learners, get recognised at work for your analytical skills.

Job Opportunities

Master data analytics with R and become a candidate for over 2,00,000 jobs.

Who Should Attend

Engineering, IT, commerce & finance students

Salary Packages

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

Expert Faculty

Learn from vastly experienced data scientists and business analytics experts.

About Course

Gain a competitive edge in the fast-paced world of analytics and build a rewarding career in the Business Service industry by learning predictive modelling in R - a powerful language to build programmatic models for predictive analytics. There is an increasing demand for highly skilled business analysts across various sectors with top companies always on the lookout for professionals who can fill the gap.

Manipal ProLearn’s comprehensive certificate in Business Analytics using R is tailored to train candidates on all aspects of Business Analytics; starting from exploratory data analysis, statistical and quantitative analysis, testing analytics models and forecasting through predictive modelling using R & Microsoft Excel. In a very highly scientific approach, the course will elucidate some of the most complex statistical tools used for data analysis through live web-based classes, real-life case study demonstrations, and videos.

What skills you learn

After completing this advanced course in business analytics using R, you’ll be considered a strong and competent data modelling professional. One of the best data analytics certification courses, it will help you:

Use basic statistical concepts on multiple types of data to prepare reports.
Use data sampling techniques to select, manipulate and analyse different data points to identify patterns and trends.
Solve complex problems with R which is the most popular language for data science and an essential tool for Finance and analytics-driven companies.
Optimise business situations that involve whole numbers, take decisions that involve multiple input variables to predict between two possible outputs, and optimise business situations where the two variables do not move in a linear fashion.
Model decisions under a variety of future uncertain states, depending on the decision maker’s proneness or aversion to risks.
Compute correlation between data points in a time series.
Compute the regression model for time series data that has a correlation within itself.
Test hypothesis for experiments involving different treatments and Identify the source of differences to pinpoint which experimental treatments were effective.
Model continuous outcomes that depend on more than one input variable.

Who Should Attend this course

Entry to senior level managers handling data entry

Engineering/IT Graduates

Management/Commerce Graduates

People who want to upskill themselves in Business Analytics

Entry to senior level managers handling data entry	Engineering/IT Graduates
Management/Commerce Graduates	People who want to upskill themselves in Business Analytics

Key Features

Learn the most popular tools in analytics

Gain hands-on experience in R and Excel – two of the most widely used tools for data analytics.

Comprehensive Course Curriculum

Learn predictive modelling in R through videos, case studies, reading material, and live webinars.

Online Live Sessions with Experts

During the course of this online business analytics certification using R, you’ll be a part of numerous live online sessions and webinars with industry and analytics experts.

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Course Curriculum

1.1 What is Business Analytics?

Describe business analytics
Describe the evolution of analytics beginning with “scientific management” to its present form
Describe the differences between analytics and analysis and explain the concept of insights
Describe the broad types of business analytics

1.2 A Case for Business Analytics

Describe how organisations benefit from using analytics

1.3 Understanding Data

Describe the importance of data in business analytics
Describe the differences between data, information and knowledge
Describe the various stages that an organization goes through in terms of data maturity
Explain what an organization can do in the absence of good quality data

1.4 Business Analytics, Business Intelligence and Data Mining

Explain the differences between Business Analytics and Business Intelligence
Describe the two major components within Business Analytics and Business Intelligence
Understand how Data Mining as a technique helps both Business Intelligence and Business Analytics

1.5 Analytical Decision-Making

Describe the analytical decision-making process
Describe the characteristics of the analytical decision-making process

1.6 Analysing Business Problems Using Key Questions

Describe how a business problem can be broken down repeatedly into key questions and then answered through analytics
Describe the characteristics of a good key question

1.7 Skills of a Good Business Analyst

Identify the skills of a good business analyst

1.8 Future of Business Analytics

Describe the current trends that are likely to shape the future of business analytics

2.1 Big Data Analytics in the Enterprise

Describe the characteristics of big data
Describe how hardware and software technologies are helping analytics handle extremely large volumes of data

2.2 Social Media Analytics

Define social media analytics
Describe the capabilities and common goals of social media analytics

2.3 Basic Statistical Concepts and Types of Data

Define statistics and its use in business
Describe the types of data
Describe the basic statistical concepts

2.4 Sampling Techniques

Explain the concept of sampling and why it is necessary
Describe the various techniques for sampling
Describe a good sample

2.5 Frequency Distributions and Measures Of Central Tendency

Describe frequency distributions
Explain the various measures of central tendency

2.6 Variability and Shape

Explain the different measures of dispersion
Explain the different measures of shape

2.7 One-way Analysis of Variance

Explain the concept of ANOVA
Calculate ANOVA using MS Excel
Test a hypothesis using ANOVA

2.8 Correlation

Evaluate the statistical relationships between two random variables and understand the measure of correlation
Identify and quantify the correlation between two datasets using MS Excel
Explain the concepts of correlation versus causation

3.1 Linear Regression

Explain how to model statistical relationships between two data series using linear regression
Create a linear regression model to forecast values using linear regression in MS Excel

3.2 Linear Programming

Explain the concept of linearity
Describe linear programming
Formulate a linear programming problem

3.3 Linear Programming – Allocation Models

Describe allocation models in linear programming
Solve allocation model problems in linear programming using MS Excel

3.4 Linear Programming – Covering Models

Describe covering models in linear programming
Solve covering model problems in linear programming using MS Excel

3.5 What is R

Understand the need to learn R
Identify the R interface - Console

3.6 k-Means Clustering

Identify what is Clustering?
Understand the Concept of k-Means Clustering
Cluster a dataset in MS Excel using k-Means
Cluster a dataset in R using k-Means

3.7 Statistical Modelling

Define a Statistical Model
Understand and build Linear Models
Compute Regression Statistics
Determine ANOVA

3.8 Regressions

Understand the concept of Multiple Regression
Create a Multiple Regression Model in MS Excel
Create a Multiple Regression Model in R
Understand the concept of Logistic Regression
Create a Logistic Regression Model in MS Excel

Frequent Questions we get

Is the price of the program inclusive of taxes?

The price mentioned on the page is inclusive of all taxes and you do not have to pay anything over and above that.

Is this a distance or online program?

This is an online program, available in 1 mode – Instructor-Led.

Is there any option of online classes?

No. Instructor-led is the only options available.

What is the duration of Advanced Business Analytics program with R?

The duration of all our courses is 90 days. You can become an expert Business Analyst by spending just 1 hour every day for 90 days.

What are the unique features of this program?

We provide hands-on experience with Excel and R along with seamless access to reading materials, videos, case studies and hands-on experience with Excel and R tool

How and when are the exams conducted?

The exams window is activated 1 month after the course purchase. You will get 3 attempts to clear the certification. Please note that there should be a minimum gap of 7 days between each attempt.

If I clear the assessment in the first attempt, is there a scope for improvement?

Yes. There is. Even after clearing the assessment in the first attempt, you can go for the remaining 2 attempts. The best grade among the 3 assessments will be considered as the final grade for certification.

Do I have to pay separately for the exam?

The exam fee is included in the fee. You will not be charged anything extra for it.

What is the passing mark?

The minimum marks that you need to pass are 50%.

What if I am not able to pass the exam in the first attempt?

No worries at all. If you are not able to pass the exam in the first attempt, you will get two more attempts and we will not charge you a single rupee for it. Just note that there should be a minimum gap of 7 days before taking the re-exam.

How is the curriculum designed?

The Business Analyst Certificate Training includes 24 modules wherein 10 modules are based on statistical tool and concepts, 10 are based on analytical concepts and 4 on tool R.

Other than the course modules, what will I learn from the program?

Besides the extensive course material, you will also be provided Excel solver tool and R tool.

What are the payment options?

You can pay through your debit card or net banking in one shot. You can also pay by Credit Card from all the leading banks. EMI Option can be availed when using a credit card (interest will have to be borne by you).

Once I Register, what are the next steps?

As soon you pay for the course, you will be provided with a login and password to access EDUNXT.MANIPALPROLEARN.COM. You can find all the information and study material related to your course on EDUNXT.MANIPALPROLEARN.COM. You can access this platform 24x7, download PDF files of study material and chat with faculty when in doubt.

What will I be qualified to do upon completing the Business Analytics Certification?

Upon successful completion, you will become an expert in optimising business situations, taking effective business decisions and get a competitive edge in the fast-paced and competitive field of Business Analytics.

I’m not a techie. What background knowledge is necessary for this course?

No previous knowledge or experience is required, but elementary statistical knowledge will prove helpful.

For how long will I have access to the course materials?

You will have 12 months of access to the course material.

When will the webinars be conducted?

The webinars are conducted from the next month of your enrollment. These webinars are live, wherein you will be able to interact with the faculty.

When will the webinars take place and what will be their timings?

Each webinar session will be for 2 to 2 ½ hours. Webinars are generally conducted during the weekend. The date and timing of the webinar will be shared 4-5 days in advance, via e-mail.

Do I need to go to a particular location to attend the webinar?

No, webinars are conducted online and can be accessed from anywhere.

What if I miss the webinar?

At Manipal ProLearn, you will never lose a lecture. In case you are unable to attend the live webinar, you can access the recorded version of the webinar on the EDUNXT.MANIPALPROLEARN.COM (Learning Management System).

Can I see the recorded version of the webinar, even if I have attended the live version?

Yes, of course. You can watch all the recorded version of all the 6 webinars, how many ever times you want.

What is the relevance of the certification?

The Advanced Business Analytics with R certificate offered by Manipal ProLearn on the successful completion of the course is industrially recognised and has global acceptance.

When will I get the certificate?

You can download the e-certificate as soon as you complete your assessment. No hard copy certificates will be provided.

Does the program provide job assistance services?

While we ensure the students get depth of knowledge and develop their skills in applying their learning, we do not provide job assistance service yet.

What If I have more queries?

In case, there is something more that you want to know, then please do call us at our toll-free number 1800-103-5941 or drop us a mail at support@manipalprolearn.com.

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