Analytics Essentials. A foundational certification program in business analytics. 13 th June th September 2015

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1 A foundational certification program in business analytics 13 th June th September 2015

2 A foundational certification program in Business Analytics With the maturity of the information age, there is an explosion of data and industry is proactively collecting and analyzing massive amounts of data. Transformation of data to actionable insight that can be applied for the benefit of the business is most crucial process for organizations. A systematic and structured decision approach that combines data with knowledge of process, domain and technology is now a vital business skill. There is a strong need in the industry for people competent of doing this across levels in the organization. International Institute of Information Technology Bangalore (IIITB) in its endeavor to bridge the skill gap in Analytics is offering Analytics Essentials a foundational certification course in Business Analytics. The week-end program of three months duration is designed to launch you into the exciting world of business analytics with the skills required to be a practitioner. Program Highlights and Learning Outcomes Key highlights of the program Designed to provide participants with a comprehensive understanding of the concepts of business analytics - the data, the approach, the technology and its day-to-day business decision applications. Cross functional approach that integrates number crunching, information technology, management applications, business analysis for a result oriented application learning. Multi-scenario exposure to a systematic and structured application lab (integrating data, process, domain and systems) for informed decisions and value insights. Inputs from decision makers, practitioners and academicians to ensure that the skill development is aligned to the industry expectations with focus on ready-to-apply solutions in real world. At the end of this course the participant would be able to Understand the importance of data management for making informed decisions and address specific business problems Learn to use a suite of analytics for developing corporate intelligence and drawing insights Learn various mathematical, statistical, econometric and predictive modelling techniques which can be applied to solve business problems Develop a structured problem solving approach to addressing seemingly complex business decisions Learn analytics based approaches to address specific industry and business function problems.

3 Program Details Eligibility This program is intended for A. Professionals who wants to break/transition into the business analytics domain. B. Decision makers/ managers who want to use analytics for improving their decision process Any graduate or post graduate with quantitative subjects and an aptitude for data is eligible for the program. BA/ BSc/ BCom/ BE/ BTech/ BCA or MA/ MBA/ MSc/ MTech/ ME/ MCom/ MCA with mathematics/ statistics/ econometrics/ finance/ computer science with minimum 50% pass marks. The applicants are encouraged to meet the student counsel team to understand if this program meets their career goals and they have the aptitude to make a career in Analytics. Application Process IIITB has the discretion to short list the candidates and call candidates for a personal interview before final selection. Our courses are designed for a mix of people from a wide range of backgrounds and sectors and this is essential to the learning process and its outcomes. The student counseling team will take into account the range of applications (sectors, professions, backgrounds) in order to make sure a participant group has an appropriate and diverse mix. The student counsel team will assess Whether the course is right for the applicant, because our courses are for people at specific stages of their careers The applicant s commitment to participate in the whole course. This is because if some people are unable to attend this diminishes the experience for other members of the participant group. Applicant s willingness to work constructively with a diverse group of people. Application Program Duration Please use the link below to access the application form and submit the same online. Analytics Essentials is a weekend program and the duration of the program is 13 weeks. Session Timings will between 9.30am and 4.30pm on Saturday and classes with be conducted in the IIITB campus in Electronics City The contact classes include facilitated sessions, practice lab and interaction with industry experts.

4 Program Details Course Curriculum Project The program is organized in classroom facilitated cum experiential learning format, featuring thorough discussion of the concepts, supplementary reading, and analyses of application cases, simulation exercises and projects. Module Module 1 Module 2 Module 3 Module 4 Topic Understanding Corporate Intelligence And Decision Making Process - Problem solving process - Data, information & intelligence - Corporate intelligence architecture - Data warehousing and reporting - Analytics applications and cases Quantitative Tools And Techniques - Problem formulation and solution design - Basic statistics and numerical techniques - Parametric & non-parametric techniques - The analytics tools environment - Tool based simulation exercises Data Mining for Actionable Insights - Understanding Data Mining (DM) - Exploratory Analysis & DM Techniques - Models for Data Mining - Virtuous Cycle of Data mining - Data mining applications and exercises Analytics Applications - Analytics applications in various industries and business functions - Marketing Analytics, Customer Analytics, Finance Analytics, Web Analytics - Applications & Exercises. To develop a keen understanding of some of the contemporary developments in the application, tools and techniques in the area of business analytics participants will undertake projects in groups of 2 or 3. We would go through a stage-wise process, ensuring the concurrent development of the project along with the class. The projects will be mentored by practitioners from the industry

5 Program Details Case Discussions Simulation Assessment and Certification requirements Case studies will be used for several topics and the topic under which the case is listed is the only theme that the case would be discussed on. The participants will be expected to link all their case analysis inputs to the theme of the class. Every participant will be required to participate in the case discussion and will be graded for participation. A set of exercise data sets based for building analytics models across various areas will be provided. Participants will have to work in groups on the exercises. The participants will be assessed for 1. Class preparation and participation 2. Application orientation Project For solution design and presentation. 3. Simulation Exercises for participation and reports. 4. Written exam which includes both subjective and objective questions. On completion of the assessment, certification will be awarded to the eligible students. Program Fees Course Fees 70, (Seventy thousand only) Corporate sponsorship Candidates sponsored by their employers can reach out to the program team to avail our special offers for corporate partners. Program Schedule Last date for application submission 6 th June 2015 Student counsel team meetings 8 th - 10 th June 2015 Program Enrolment and Fee Payment 12 th June 2015 Class commencement 13 th June 2015 Final assessment 19 th September 2015 Valediction 26 th September 2015 We will be flexible with the sessions schedules during festivals/ other holidays. Contact Details Program Coordinator Kalpana Subbaramappa C : E : Other contacts

6 Program Schedule Date Day Session Topic Day 1 Registration Program Inauguration and Inaugural address Introduction to Faculty and/ Key resources Analytics Overview and Jargon busting Discussion on Assignments and Project Day Day Day Day Day Day Day Day Day Day Day Day 13 Information Infrastructure and hierarchy - Transactional databases, DW, MIS, OLAP Comparison of Business Intelligence / OLAP versus Analytics / Data Mining Practice Lab - Introduction to R Data Modeling Data Quality Problem solving process, formulation and approach to solution design Case study - Problem solving Basic Statistics Project Defense Practice Lab - Basic Statistics with R Confirmatory Analytics - Hypothesis testing Practice Lab - Hypothesis test Exploratory Data Analysis Industry Speaker Practice Lab - Exploratory data analysis & Hypothesis test in R Data visualization Tableau workshop Data Mining - Algorithms Industry Speaker Data Mining - Cluster Analysis Practice Lab - Cluster Analysis Data Mining - Decision Tree Practice Lab - Decision Tree Predictive Analytics - Regression Practice Lab - Regression Marketing Analytics Operations Analytics Customer Analytics - Case Study Time Series Forecasting Text Analytics Web and social media Analytics Case study

7 About Us IIIT Bangalore The International Institute of Information Technology, a Deemed University, popularly known as IIIT- B, was established in 1999 with a vision to contribute to the IT world by focusing on education and research, entrepreneurship and innovation. The Institute is a registered not-for-profit society funded jointly by the Government of Karnataka and the IT industry. Since its inception, IIIT-B, with its unique model of education, research, and industry interaction, has grown in stature to become an institution of considerable repute in academic as well as corporate circles. The Institute works in partnership with the corporate sector, while retaining the freedom of an academic institution. It is inspired by other renowned institutions, and also strives to emulate an academic culture that is on par with the best international institutions. The IIITB campus is located in the heart of Electronics City, one of the prestigious IT destinations in Bangalore, with excellent infrastructure, facilities, and services. The list of companies located in the high-tech area close to the Institute is a virtual Who's Who of the IT business. IIITB is situated opposite the Infosys corporate headquarters, and is within easy walking distance of other major companies like HP, Siemens, Wipro, HCL, GE, Tata, and others, giving students and faculty opportunities for productive interaction with the industry.

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