last update : 04/12/2017
Business Analytics with R - Instructor-led Online Training
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About the Course
This is a specialized course with an introduction to the world of analytics for all business professionals, including those with no prior analytics experience. In this course you’ll learn how data analysts describe, predict, and inform business decisions in the specific areas of marketing, human resources, finance, Fraud & Compliance, and operations, and you’ll develop basic data literacy and an analytic mindset that will help you make strategic decisions based on data. This course is also an introduction to the main tools and ideas in the analytics world. You will get an overview of the data, its interpretation, questions, and tools that data analysts and data scientists usually work with. There are two major components to this course.
a) Introduction to the ideas behind turning data into actionable knowledge.
b) Practical introduction to the tools that will be used in the program like R, RStudio, Excel, VBA Macro etc.
Detailed list of topics: Business Analytics with R
1) Concepts of Business Analytics and the Future of Analytics
2) Social media analytics
3) Data creation and preparation
4) Exploratory data analysis (EDA)
5) Experiment design and ANOVA
6) What is R and its usage
7) Correlation, Regression, Time Series forecasting
8) Linear & Logistic Regressions
9) Data creation, preparation and cleaning in R
10) Time Series modelling
11) k-Means Clustering
12) Programming constructs of R
13) Linear programming
14) Statistical Modelling
15) Solving Business cases using Analytics with R
Benefits of Business Analytics with R
Business Analytics (BA) has become an interesting arena these days and many candidates are contemplating to have a career in the field of business analytics and data science. However, before plunging into this field one should probe whether they’ve a knack in working with complex figures and statistics. Unicom certified Business Analytics with R course (Webinar classes) is an opportunity for students from any field to learn basics of business analytics covering all aspects of business decisioning, including “R” programming, Excel and Basics of Statistics. Let’s explore, what are the benefits for students to get an UNICOM certification in BA and get yourselves ready for one of the most admiring jobs in today’s industries. It also helps in Improving the decision making process with quality & relevance
1) Speeding up of decision making process
2) Better alignment with business strategy
3) Realising cost efficiency
4) Responding to user needs for availability of data on timely basis
5) Improving business competitiveness
6) Producing a single , unified view of enterprise information
7) Synchronising financial and operational strategy
8) Increase revenues
9) Sharing information with a wider audience
10) Improving awareness of recent industry changes with digital movements
11) Understanding of social media and its impact on analytics world
Course Fee : Standard Fee INR 35,000 + GST
Early Bird Fee : INR 30,000 + GST(valid till 30 days before the event)
Dates : Jan 13 , 14, 20, 21 ,
Feb 03, 04 , 10, 11 , 17,18 , 24, 25
March 03, 04 , 10
Submit your details to download the brochure:
What is R ?
R is the most common and widely used data analytics tool.It is an extremely powerful, open-source data analysis and statistics language. R is a central tool in the big data revolution.R is a free software programming language and a software environment for statistical computing and graphics. The R language is widely used among statisticians and data miners for developing statistical software and data analysis.
What is Big Data ?
Big data is a collection of data sets so large and complex that it becomes difficult to process using on-hand database management tools or traditional data processing applications. The challenges include capture, curation, storage, search, sharing, transfer, analysis, and visualization.
What is Analytics ?
Analytics is the discovery and communication of meaningful patterns in data. Especially valuable in areas rich with recorded information, analytics relies on the simultaneous application of statistics, computer programming and operations research to quantify performance. Analytics often favors data visualization to communicate insight.
What is Big Data Analytics ?
Big data analytics is the process of examining large amounts of data of a variety of types (big data) to uncover hidden patterns, unknown correlations and other useful information. Such information can provide competitive advantages over rival organizations and result in business benefits, such as more effective marketing and increased revenue.
Who will provide certificate?
Certificate of Participation will be provided by UNICOM.
Will there be any exam?We take tests during the course to gauge the knowledge imparted to students, to refresh some of the harder concepts and to repeat topics that a lot of people get wrong. The test also encourages the students to use knowledge imparted in the class into practical scenarios.
Certificate of Participation is given to all the participants who attends the program.
Are there any prerequisites to attend this program?
Programming experience and exposure with Data related work such as Reporting, Data Integration, Database Management etc.
Who should take this training course/Target Audience?
• Professionals looking to develop an understanding on big data analytics• Students looking out to pursue data science as a careerHow can I make payment?
Payment can be made via Cheque / DD / Online Funds transfer / Cash Payment/Credit & Debit Card.Cheque should be drawn in favour of "Unicom training and Seminars Pvt Ltd" payable at BangaloreNEFT Payment:Account Name: UNICOM Training & Seminars Pvt Ltd Bank Name : State Bank of India Bank Address: Ground Floor, K V Plaza, Green Glen Layout, Outer Ring Road, Bangalore.A/c Number : 31729010535IFSC : SBIN0012706A/c Type: CurrentWhom Do I Contact for more info?
You can reach Gokul at 95388 78795 or mail her at email@example.com
What is Course timing?
15 Day – 2 hours each day: (30 hours course)