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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.
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:
Entry to senior level managers handling data entry
People who want to upskill themselves in 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
Describe how organisations benefit from using analytics
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
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
Describe the analytical decision-making process
Describe the characteristics of the analytical decision-making process
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
Identify the skills of a good business analyst
Describe the current trends that are likely to shape the future of business analytics
Describe the characteristics of big data
Describe how hardware and software technologies are helping analytics handle extremely large volumes of data
Define social media analytics
Describe the capabilities and common goals of social media analytics
Define statistics and its use in business
Describe the types of data
Describe the basic statistical concepts
Explain the concept of sampling and why it is necessary
Describe the various techniques for sampling
Describe a good sample
Describe frequency distributions
Explain the various measures of central tendency
Explain the different measures of dispersion
Explain the different measures of shape
Explain the concept of ANOVA
Calculate ANOVA using MS Excel
Test a hypothesis using ANOVA
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
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
Explain the concept of linearity
Describe linear programming
Formulate a linear programming problem
Describe allocation models in linear programming
Solve allocation model problems in linear programming using MS Excel
Describe covering models in linear programming
Solve covering model problems in linear programming using MS Excel
Understand the need to learn R
Identify the R interface - Console
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
Define a Statistical Model
Understand and build Linear Models
Compute Regression Statistics
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
The price mentioned on the page is inclusive of all taxes and you do not have to pay anything over and above that.
This is an online program, available in 1 mode – Instructor-Led.
No. Instructor-led is the only options available.
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.
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
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.
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.
The exam fee is included in the fee. You will not be charged anything extra for it.
The minimum marks that you need to pass are 50%.
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.
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.
Besides the extensive course material, you will also be provided Excel solver tool and R tool.
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).
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.
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.
No previous knowledge or experience is required, but elementary statistical knowledge will prove helpful.
You will have 12 months of access to the course material.
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.
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.
No, webinars are conducted online and can be accessed from anywhere.
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).
Yes, of course. You can watch all the recorded version of all the 6 webinars, how many ever times you want.
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.
You can download the e-certificate as soon as you complete your assessment. No hard copy certificates will be provided.
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.
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 email@example.com.