Data Mining for Business Certification Course

What are Business Intelligence and Data Mining?

In one sentence, “Business Intelligence” can be defined as “Data Based Decision”. Decisions based on data provide a competitive edge to today’s business. Taking the cognizance of the fact that this field is growing very rapidly, many large domestic IT consultancy and service companies have already established a separate “BI” practice.

BI systems need data and techniques of storing and analyzing the same. Data Mining is an emerging technology for analyzing the data through which valuable ‘knowledge’ is discovered from the databases of business. For example, using data mining technology a business can improve their sales turnover significantly by spotting the more likely buyers and cross selling products.

The technology is founded in machine learning, statistical, mathematical and data management sciences. The data mining software enables a business manager to find patterns in data and classify or cluster records or predict values based on multiple variables. The techniques include Neural Networks, k-Means clustering, Logistic Regression, Classification Trees, k-Nearest Neighbors and so on.

Objective:

The course is designed to provide a comprehensive overview of how Data Mining techniques are applied in business situations to improve Business Performance. The participants undertake hands-on exercises using R and excel.

Takeaway:

At the end of the course participants will be able to identify opportunities of using Data Mining for improving performance in their business and sponsor and manage Data Ming projects in their organization.

Pedagogy:

The program will have interactive sessions, including:

• Cases to discuss the application of Data Mining in business
• Presentation of Data Mining techniques and discussion on their application
• Discussion on opportunities of using Data Mining techniques in business
• Exercises for hands-on use of a Data Mining software
• Tools used: Excel, R

Contents :

Day – I

1- 2 . Whom to Give Loan? Supervised – Classification

Data Mining Concepts, Techniques, Applications:

• Training, Validation and Test Data
• Decision Tree
• Confusion Matrix

3 . Predicting Market Value of an Asset Supervised – Regression Data Mining Concepts, Techniques, Applications:

• Linear Regression
• RMS and MAPE

4 . Target Marketing Supervised –

Data Mining Concepts, Techniques, Applications:

• Lift Chart
• Logistic and Linear Regression

Day – II

5 – 6 . What goes together Unsupervised – Association

Data Mining Concepts, Techniques, Applications:

• Support, Confidence, Lift
• Support Cutoff and Taxonomy

7.  Big Data Analytics

Concepts, Techniques, Applications:

• Text Mining
• Introduction to Sentiment Analysis, Social Network Analysis

8.  Introduction to Business Analytics and Big Data Analytics

• Objective
• Normal and Big Data
• Requirements
• Data Warehouse
• Data Analytics
• Big Data Analytics
• Business Analytics
• Metrics
• Maturity Models

Who should attend?

IT Manager, System Analyst, Programmer and Project Leader / Project Manager; The course will also benefit the software persons, who are involved in Data Mining Projects.

Speaker

Dr. Sunil D. Lakdawala, a Ph.D. from Yale University-USA and post graduate from I.I.T.-Mumbai is an independent consultant and trainer. He has over 20 years of experience in IT with various IT consultancy companies including CMC Ltd. and Tech Span India Ltd. He has specialized in the area of Business Intelligence System (Data Warehousing and Data Analysis Techniques like OLAP, Data Mining) and has a rich experience in consultancy, project execution and training in that area.

Contact Details :

Revati Khare || Assistant Director – Information & Communication Technology Committee
Email : international@bombaychamber.com
Tel. (D) + 91 22 6120 0231; (M) + 91 9892029473