CCDA – Certificate Course in Data Analytics



R, Python, SQL, Hadoop, Solver, and Lindo


Taught by Industry Experts with 20+ Years Industry Experience.


Statistics, Machine Learning, Data Visualization, and Model Designing and Testing.

The Business Analytics market is estimated at over US$10 billion as an outsourcing market for India, and as career option, is seen to be one of the biggest growers in the past couple of years. About 15,000 openings are projected in India for this year itself.

In order to initiate the importance of Analytics and the career opportunities available across India and abroad, DATAWISE® started conducting certificate course in Data Analytics.


Datawise’s Certificate Course in Data Analytics Training will focus on the basics of business analytics which allows the participants to frame business problems in an analytical framework in order to encourage analytical data based decision making. The training will emphasize on developing an effective analytics program for businesses and creating effective decision support communication for the benefit of the organization. It will also provide a graded approach to the application of relevant analytical tools and techniques that will help in understanding various dimensions of analyzing data through a series of real-life case studies.

Datawise’s Training will be imparted at three phases: Beginners, Intermediate and Advance.

How is it Useful

Harnessing Big Data in conjunction with data analytics capabilities provides an opportunity for industry leaders to consolidate positions, and for laggards to regain lost ground. The ability to model and predict business outcomes with a certain degree of confidence is a concept that has always been demanded by decision makers, but the concept is increasingly becoming more accessible and meaningful, especially in an environment where storage costs have decreased tremendously while data generation has witnessed explosive growth and businesses are connecting with their consumers in a new and increasingly digital world.

Data Analytics makes extensive use of data, statistical and quantitative analysis, explanatory and predictive modeling, and fact-based management to drive decision making. Analytics may be used as input for human decisions or may drive fully automated decisions. Business Intelligence is querying, reporting, OLAP, and "alerts." In other words, querying, reporting, OLAP, and alert tools can answer questions such as what happened, how many, how often, where the problem is, and what actions are needed. Business Analytics can answer questions such as why is this happening, what if these trends continue, what will happen next (predict), what is the best that can happen (optimize).

The key consumer of analytics is the business user, a person whose job is not directly related to analytics per-se, but who typically must use analytical tools to improve the results of a business process.


  • Provide Insights into Analytics Industry
  • Understand the imperative of Business Analytics
  • Appreciate the basics of Data Management
  • Understand the basics of Data Model Construction
  • Assist in drawing Data-Driven Conclusion
  • Appreciate the importance of Visualization and Presentation

Approach and Methodology

The course will be offered in various forms for an in-depth understanding of Business Analytics. We offer a blend of theory and practice sessions for the students. The program will be conducted using Hands-on test and learn method. The program pedagogy will consist of the following:

  • Basic theory
  • Basics of statistics
  • Hands-on test and learn
  • Basics of analytics software
  • Model designing and testing
  • Case studies
  • Data visualization
  • Analytical techniques


The curriculum is designed to accomplish all the knowledge to select analytics as a career. The curriculum is divided into 9 modules with a project and is sub-divided into 3 phases namely, Beginners, Intermediate and Advance.

Phase I: Beginners

Module 1: An introduction to Data Analytics

  1. Tools and Programing for Business Analytics
  2. Working on Excel, SQL, R

Module 2: An Analytical Mindset

Module 3: Basic Analytical Techniques

  1. Regression Analysis
  2. Correspondence Analysis
  3. CHAID
  4. Multi-dimensional scaling
  5. OLAP cube

Phase II: Intermediate

Module 4: Data Warehousing and Mining

  1. Data Warehouse – An introduction
  2. Data Warehouse Tools
  3. Extracting, Loading & Transformation of data ( ETL)
  4. Data Mining Techniques
  5. Relational Analytics

Module 5: Data Modeling

  1. Data Modeling - An Introduction
  2. Problem solving approaches selection
  3. Create model, usability, and system requirements for production
  4. Run and Evaluate the Models
  5. Integrating the Model
  6. Business validation of the model

Module 6: Advanced Analytical Techniques

  1. Logistic regression
  2. Factor Analysis
  3. Cluster Analysis
  4. Discriminant Analysis
  5. Conjoint Analysis
  6. SEM

Phase III: Advance

  1. R
  2. Python
  3. Hadoop
  4. Solver
  5. Lindo

Module 8: Functional Analytics (any two)

  1. Sales & Marketing Analytics
    • Segmentation
    • Marketing Mix optimization
    • Channel Analysis
    • Sales Pipeline reporting
    • Churn Analysis
    • Campaign Analytics
  2. Financial Analytics
    • Working Capital Analytics
    • Ratio Analysis
    • Go- no Go decisions
    • Business Valuation
  3. HR Analytics
    • Recruitment Analytics
    • Compensation Analytics
    • Talent Analytics
    • Training Analytics
    • Retention Analytics
    • Workforce Analytics
  4. Social Media Analytics

Module 9: Industry Applications (any one)

  1. Analytics in Healthcare
  2. Analytics in Banking
  3. Analytics in Retail
  4. Analytics in Telecom


DATAWISE® specializes in providing Analytics, Management and Business Consulting services. Its clients include well-known names in the Indian and international Healthcare, Aviation, Information Technology, Infrastructure, and Retail sectors. DATAWISE® specializes in three main activities: Consulting, Analytics and Outsourcing with offices in India and the US.

Mr Vinay Kumar K is a graduate from the Indian Institute of Management, Ahmedabad. He has 25 years of experience in the field of Consulting, Analytics and Finance. Among various companies in the past, he has worked with the RPG group, E&Y, Net jets, and Apollo Hospitals. His core strengths are in Analytics, Strategy, Business Planning, and Market Planning and Process Improvement.

Mr Yugandhar M V is a graduate from the Indian Institute of Management, Ahmedabad. He has more than 22 years of experience in the field of Business Intelligence and Analytics with strong Management Consulting and IT. He is a SAS accredited trainer and Certified Predictive Modeller using Enterprise Miner 6. He has worked with Dell, Mahindra Satyam, Escorts, etc.

Mr Venkata Rao K is a graduate from the Indian Institute of Management, Kolkata and an alumnus of Indian Statistical Institute, Kolkata. He has more than 17 years of expertise in Analytics and IT. His core strengths are in Analytics, Advanced Analytics and Big data.

Dr Gopal J V, Ph D in Management has more than 15 years of experience in Analytics, Consulting and Teaching. He is also associated with Vespa Analytics and Consulting, ISB, SSN Chennai, IFIM Bangalore as corporate trainer on Analytics and Advanced Analytics.

Mr Chitta Ranjan, VP Technology is responsible for the entire Technology and Product at DATAWISE®. He has more than 13 years of experience in companies like Mphasis (An HP Company), Ascendum Solutions, Gateway Techno labs and Classic Informatics.