Analytics for Managers is a five-day custom-curated program designed for learners to build data-driven decision-making skills. Data-driven decision-making skills are not a choice for business leaders and professionals anymore; it is a bare minimum requirement. Today, Machine Learning and Artificial Intelligence power all the business functions, processes, products, and projects of an organization. To build a successful career and create sustainable organizations, one needs to harness the humongous amount of data available within and outside the organization. This unique program will help the learner to appreciate the data-driven processes and build descriptive, diagnostic, and predictive models in a real-time business setting with cases drawn from various functions.
Course Features
Duration
Eligibility
Working professionals with any UG degree and have a minimum of 2+ years of industry experience.
Program Fee
Five Reasons to Choose Analytics for Managers Certification
Five reasons how the Analytics for Managers Certification program helps to pursue a successful career.
Develop Decision-Making Skills with Analytics
The program is designed to help the learner in applying analytics in real-life situations that require a combination of knowledge and skills in domain understanding, applied statistics, data understanding, business problem-solving, descriptive modeling, predictive modeling, dashboarding, etc. The program will help the learner not only to apply analytics to real-world business situations but also enable them to make appropriate managerial decisions.
Designed for Creating Enterprise Leaders with Futuristic Skills
Analytics for Managers Certification program is designed to build a strong foundation for enterprise leaders or managers of all levels to acquire the practical business and data analytics knowledge and skills. With these acquired skills and knowledge, managers or enterprise leaders can extract insights from data to understand customers, detect and manage risks, and enhance operational efficiency.
Develop Hands-On Skills with Case Studies
Upon completion of the certification, the learners will learn different data science techniques and their applicability in a business scenario via 6 plus case studies. The case studies explored will demonstrate how enterprises are leveraging data from different sources including big data using different analytical techniques to enhance business performance.
Caters to the Job Requirements
This certification program is designed to cater to all experience levels and specializations and aligns with the industry standards. The program helps to identify best practices in data analytics that can be used effectively in everyday work as well as the competencies required to build a data science team.
Designed to Benchmark Success
This certification enables the learners to set themselves apart from their peers. The program helps learners to accomplish key career goals and enhance their overall job performance, which enables them for continued professional development.
Program Objectives and Industry Ready Outcomes
The 5-days certification program in Analytics for Managers is designed and curated exclusively for decision-makers. The program enables the learners to:
Apply analytics in four important business
functions: Marketing, Finance, HR,
and Supply Chain
Build hands-on skills in
descriptive and predictive
modeling
Develop an analytical
mindset to help better
decision-making.
Learning Outcomes
Upon the completion of the program, the participants will have enhanced knowledge of analytics vocabulary and techniques and problem-solving skills with data. They will have hands-on skills to apply the analytics framework and build machine learning models independently or in groups as per the need.
Day 1
Keywords/skills
Working with Analytics Frameworks:
- CRISP-DM
- SEMMA
- TDSP
- Project FluidTM
Learning Outcome
- Transform a business objective into a machine learning problem
- Acquire, process, and transform the data
- Building relevant models
- Deploy, maintain and monitor analytics models
Tools
- Tableau
Use case I:
New hire renege prediction for an IT firm
Key skills: Classification models
Tools:
Excel, Orange, IBM SPSS, Tableau
- Perform Exploratory data analysis
- Build visual dashboards and validate assumptions
- Learn to build logistic regression models
- Building an optimized hiring plan
Day 2
Use case II:
Customer Analytics for a Supermarket
Key skills: Clustering
- Perform Exploratory data analysis
- Build visual dashboards and validate assumptions
- Apply clustering techniques to segment the customers
- Build the customers clusters based on business value
- Cluster customers based on RFMPT
- Build clusters to maximize the monetary value
Tools:
Excel, IBM SPSS, Orange
Day 3
Use case III:
Customer Analytics for a Telecom Company
Key skills: Predictive Models
- Perform Exploratory data analysis
- Build visual dashboards and validate assumptions
- Learn to build predictive models
- Design the recommendations based on model output to reduce churn.
Tools:
Excel, Orange, IBM SPSS, Tableau
Day 4
Use case IV:
Supply Chain Modeling for an E-commerce organization
Key skills: Forecasting
- Perform Exploratory data analysis
- Build visual dashboards and validate assumptions
- Learn to build forecasting models
- Monitoring the forecasting system
Tools:
Excel, Orange, IBM SPSS, Tableau
Day 5
Mini Project – Customized
- Learn to build an end-to-end analytics project
- Enhance presentation skills
- Improve decision-making skills with data
Schedule and Support
Participants will get access to seamless learning and support through multiple platforms. Since most of the services are cloud-based, the support is always available uninterrupted.
- 24/7 online access to course materials through LMS
- Appropriate analytics tools will be used ranging from Advanced Excel, Qlik Sense, Orange, etc.
- Classroom discussion facilitated by trainers will provide a strong foundation to the knowledge levels of the participants
- Case studies will facilitate discussions and help to learn different data science techniques and their applicability in various business scenarios
MENTORS
Industry mentors are the assets of REVA Academy for Corporate Excellence. The industry experience of our mentors helps the participants to bridge the gap between classroom learning and the industry
Dr. J B Simha
Dr. Simha’s core competency is in R&D, business intelligence and analytics consulting. He has implemented several large scale systems for telecom, BFSI and manufacturing industries in business intelligence and analytics. He has been recognized as one of the ‘Top 10 Most Prominent Data Science Academicians in India: 2019’ by Analytics India Magazine.
SUCCESS STORIES
Success is in the DNA of RACE. Decipher the successful journey of RACE through our mentors and participants.
We are training industry professionals and far ahead in imparting education specifically in cutting-edge technology education. RACE, REVA University is the best in terms of state-of-the-art labs. I’m proud to be associated with RACE since the beginning in developing course curriculum and content. What I feel good about RACE programs is that the programs offered here are not available pan India, except in few universities. The live projects of these programs give great exposure to the participants to get into future jobs.
I’m very grateful and proud to be part of the MBA in Business I’m very grateful and proud to be part of the MBA in Business Analytics program at REVA Academy for Corporate Excellence (RACE), 2019-2021 Batch. The credit goes to RACE mentors and my batch mates. Still, a long way to go to learn and improve my skills I’m very grateful and proud to be part of the MBA in Business I’m very grateful and proud to be part of the MBA in Business I’m very grateful and proud to be part of the MBA in Business
The program added value to my experience in Data Science The program added value to my experience in Data Science The program added value to my experience in Data Science and Business Analytics domain as the program allowed me to solve real-life problems using machine learning models and data science techniques. The program added value to my experience in Data Science The program added value to my experience in Data Science The program added value to my experience in Data Science
“I have been associated with REVA University for Corpddordate I have been associated with REVA University for Corporate Excellence for last 4+ years, working closely with the PGDM/MBA in Business Analytics Batches in delivery, helping with use cases, and some of the data processing areas. Even though the participants joining RACE’s programs are well-experienced, they would like to expand or switch their career for better opportunities. To advance in their career, MBA/PGDM in Business Analytics program of RACE is a great choice.
The program helped me to make a career transition as a Data The program helped me to make a career transition as a Data Analyst. The well-structured MBA program of RACE has supported me in my career and has offered a lot of exposure in the data science/analytics domain. The structured and experiential learning at RACE will help the program participants to advance in their career. “The program helped me to make a career transition as a Data Analyst. The well-structured MBA program of RACE has supported
Being a program/project manager for the past 7 years and with Being a program/project manager for the past 7 years and with more than 9 years of experience in technologies like Java, .net, DevOps, I got associated with REVA for MBA (Artificial intelligence). I have learnt from classroom sessions with many industry leaders and got exposure to real-time business understanding in AI. The hands-on sessions at RACE helped me a lot in exploring new opportunities in Data Science and the Artificial intelligence world.
