Focused, modularized programs for busy working professionals
CPAE enables busy executives to choose exactly what they need. Some people want to learn just the essential data skills that their job demands and not a 360 degree treatment provided in CPEE. Some already have essential skills and want to take only advanced courses. For both groups, CPAE is the right option. Individuals can enroll for separate modules (up to two modules in any 365 day duration from the start of the first module).
This five-day module teaches the complete data analytics lifecycle in an applied and hands-on manner. A data-rich business environment is detailed and a few semi-real world problems that can be solved in 5 days are worked on. It starts with playing with data, using data visualization as an analytics technique and data pre-processing. It then smoothly moves to designing and implementing predictive models for a variety of business applications. It also covers important aspects of analyzing the quality of the model. Finally, the latest trends in reporting the results are discussed.
While one or two business cases are used as anchoring themes during the program, the general applicability is emphasized throughout.
At the end of the program, the participants are able to answer business questions such as "who is likely to buy a new product amongst the existing customers", "which customers are most likely to default on a loan or an insurance payment" and "if a customer buys Product A, which other products can be recommended to him/her".
This course thoroughly trains candidates on the following techniques:
A framework for solving Analytics problems.
Pre-processing Techniques: Graphical visualization; Handling missing values; Data standardization
Introduction to two important data mining techniques: Decision Trees and Association Rules
A thorough introduction to solving analytics problems using R
Model selection using K-fold validation
Industry Highlights
Everyday, we create 2.5 quintillion bytes of data - so much that 90% of the data in the world today has been created in the last 2 years. IBM
Ananda Prasad C. Analyst at a Multi-Billion Dollar IT Services Company “True to the motto 'Inspire...Educate...Transform'. I am now much better equipped to deal with data analytics problems...” more...
CSE 7302c
This six day module is aimed at teaching "how to think like a statistician". "Statistical thinking will one day be as necessary for efficient citizenship as the ability to read and write", wrote H. G. Wells in the year 1895. That day and age has arrived with Data Analytics going mainstream (For Today's Graduate, Just One Word: Statistics). This course teaches this very important and essential skill. Broadly, the following aspects are covered:
Studying the data systematically and gaining intuition about variables and their inter-relationships
Applied statistical methods to extract hidden relations and patterns from the data
By the end of the course, the participants will be able to answer questions like "what will be the price of a commodity at a future point of time", "if a sample of 100 components have the dimension of 100 nanometers, what can I say about the dimension of the population of 100,000 components", etc. Data sets from Retail, Finance, Manufacturing and Healthcare industries are used to explain the concepts.
This course thoroughly trains candidates on the following techniques:
Probability distribution analysis, Correlations and ChiSquare testing
Linear regression, Multilinear regression and Logistic regression
Clustering
Time series analysis
Non-parametric statistics
From a tools perspective, you will gain confidence with tools like R and Excel for creating meaningful and information rich dashboards.
Industry Highlights
President Obama's campaign manager hired an analytics department five times as large as that of the 2008 operation...
...That data-driven decisionmaking played a huge role in creating a second term for the 44th President and will be one of the more closely studied elements of the 2012 cycle. It's another sign that the role of the campaign pros in Washington who make decisions on hunches and experience is rapidly dwindling, being replaced by the work of quants and computer coders who can crack massive data sets for insight... Michael Scherer, TIME, November 8, 2012
Vamsidhar Raju K. Sr. Project Manager at a Fortune 25 Company “I enjoyed the course. The amount of knowledge/patience Dr. Abhinanda Sarkar enlightened us with together with his experience is amazing... He came down to lowest level possible to make us understand the concepts.” more...
CSE 7303c
This module is designed to enhance your decision capabilities when confronted with strategic choices. You learn techniques of turning real-world problems into mathematical models. It teaches three classes of models: Optimization, Simulation and Statistical. The application areas originate from problems in finance, marketing and operations.
At the end of the program, you will be able to answer questions like "should I outsource a service or do it in-house", "how to optimize a supply chain", and "how to price a product when faced with demand uncertainty".
This course thoroughly trains candidates on the following techniques:
Multi-criteria decision analysis
Linear, Integer, Binary and Quadratic programming
Data envelopment analysis; Goal and multi-objective modeling
Genetic Algorithms
Simulations in decision analysis: Monte Carlo and Markov Chain methods
Game theory and strategy
From a tools perspective, this course trains you on building your own R code and you are provided R codes for a host of problems mentioned above. The course is anchored on a large financial and mutual fund company and techniques for solving a variety of problems they face are provided.
Industry Highlights
...for winemakers, there exists only a brief window of time to identify and fix problems at their vineyards...The key to successfully capturing and using such information lies in business analytics. Vintners can harvest all types of data to enable faster interpretation of troublesome news... Paul W. Chang, IBM, 11/16/2012
Beaulah Salome P. Project Lead at a Fortune 25 Company “The course was well structured and it gave lot of insights on how to solve the problems.” more...
CSE 7304c
Companies collect and store large amounts of data during daily transactions. This data is both structured and unstructured. The volume of the data being collected has grown from MB to TB in the past few years and is continuing to grow at an exponential pace. The very large size, lack of structure and the pace at which it is growing characterize the "Big Data".
To analyze long-term trends and patterns in the data and provide actionable intelligence to managers, this data needs to be consolidated and processed in specialized processes; those techniques form the core of the module.
From a tools perspective, this course introduces you to Hadoop. You will learn one of the most powerful combinations of Big Data, viz., "R and Hadoop".
In addition, all the essential content required to build powerful Big Data processing applications and to acquire Hadoop certifications will be covered in the course. The emphasis is not on abstract theory or on mindless coding. The concepts and the real-world programming techniques are emphasized.
Industry Highlights
Only one-third of companies are able to effectively use new data to assist their business decision-making, gain competitive edge, drive productivity growth, yield innovation and reveal customer insights. EMC Data Science Global Survey, Dec. 5, 2011
Sushma P. ETL Developer at a Multi-Billion Dollar IT Services Company “The material and the way it was taught by Dr. Sreeram was awesome. The course content is designed very well.” more...
CSE 7305c
This module discusses the principles and ideas underlying the current practice of data mining and introduces a powerful set of useful data analytics tools (such as K-Nearest Neighbors, Neural Networks, etc.). Real-world business problems are used for practice. In addition, for each of the techniques, both the traditional approach and the Big Data approach are taught.
At the end of the course, the student will be able to answer questions like "which technique is likely to work under what situations", "how to handle fraud detection" and "how to recognize handwriting".
From techniques perspective, the student learns:
Bayesian analysis and Naïve Bayes classifier
Neural Networks
K-Nearest Neighbors
Association Rules, Dimensionality reduction using Principal Component Analysis (PCA), Single Vector Decomposition (SVD)
Ensemble and Hybrid methods
A fictitious courier company is taken as an example and issues faced in this industry are solved.
Industry Highlights
In 2010, the digital universe cracked the zettabyte (trillion gigabytes) barrier, growing by a factor of 9 in just 5 years, and expected to grow by a factor of 50 in the next 10 years. IDC study sponsored by EMC, June 2011
Manish Sharma IT Architect at a Global Leader in Business Process and Technology Management Services company “Most amazing introduction to insightful techniques and world of predictive analytics.” more...
CSE 7206c
This module teaches two of the most important applications of analytics in high tech industries.
Text mining: Unstructured data comprises more than 80% of the stored business information (primarily as text). This helped text mining emerge as a leading-edge technology. This module describes practical techniques for text mining, including pre-processing (tokenization, part-of-speech tagging), document clustering and classification, information retrieval, search and sentiment extraction in a business context.
Predictive modeling with social network data: Social network mining is extremely useful in targeted marketing, on-line advertising and fraud detection. The course teaches how incorporating social media analysis can help improve the performance of predictive models.
By the end of the course, you will be able to answer questions like "how to classify or tag a document into a category", "how to rank some people in a network as more likely customers than others", etc.
In terms of techniques, the course teaches:
Text pre-processing
Bag-of-words and Text Similarity measures
Page Rank; Neighbor analysis on predictive modeling
This course uses packages like R and R-Hadoop for demonstrating real world examples.
Industry Highlights
Data have swept into every industry and business function and are now an important factor of production. By 2009, nearly all sectors in the US economy had at least an average of 200 terabytes of stored data. McKinsey report, May 2011
Naga Karthik Oracle EBS Business System Analyst at a Multi-Billion Dollar IT Services Company “Instructions in the class are awesome. Examples provided are very realistic and at the same time very profound. Interaction is awesome and its FUN to be in the class.” more...
CSE 7108c
This module discusses the most advanced data mining techniques such as Support Vector Machines (SVM), Bayesian Belief Nets, Expectation Maximization and Reinforcement Learning. This is suited for those interested in getting into an R&D lab of a product company or a PhD program in Machine Learning.
Industry Highlights
Mobile, social, cloud and analytics: If your firm has yet to embrace these big-four IT trends, it's high time you get started. Doug Henschen, Dec. 27, 2011
Knowledge of content taught in CSE 7305c - Methods and Algorithms in Machine Learning, and the corresponding prerequisites.
Shamsunder Rao Kasturi Reporting Analyst at a Global Technology and Innovation company “Before this course, I had a basic idea of what analytics is, I even thought BI and Analytics were same. But now its all clear now. I am fully confident now to make a career in this field.” more...
CSE 7107c
OK! The rubber meets the road! It is competition and fun time. You will actually architect an entire solution (actually 2!). This module also helps bring all the concepts learnt in other modules into perspective, helping students provide end-to-end solutions to business problems.
Students are divided into groups of approximately 4 each. They are given a real world problem with insufficient information. They are required to conduct interviews, obtain the information, design a solution, and come up with an implementation plan.
Good understanding of business environment and communication skills.
Lalithakishore N. Manager - Software Engineering at a Fortune 500 Enterprise Software Products company “I think this is the only course that is giving both theoritical and the application of that theory in various domains specific problems and figure out the solutions.” more...
SCALE THE HEIGHTS
International School of Engineering
Plot No 63/A, 1st Floor
Road No 13, Film Nagar
Jubilee Hills, Hyderabad - 500033
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