#1
16th January 2017, 06:08 PM
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IIIT Bangalore Analytics Course
HI I would like to have the information as well as the details of the Post Graduate Diploma Certificate in data analytics from IIIT, Bangalore?
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#2
17th January 2017, 09:59 AM
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Re: IIIT Bangalore Analytics Course
Accelerate the career in data analytics by mastering concepts of Data Management, Statistics, Machine Learning and Big Data from most influential analytics leaders as well as academicians of India. PG Diploma from IIIT-Bangalore Upon successful completion of the program, you will be awarded a Post Graduate Diploma Certificate from IIIT-Bangalore. Learn by Application Learn from wide-ranging collection of case-studies, hand-picked by industry experts, to give you an in-depth understanding of how data analytics moves industries like telecom, transportation, e-commerce as well as more. PROJECT 1 Uber Supply Demand Gap Use analytics to identify why Uber sometimes faces a supply-demand challenge and what can be done to overcome it. PROJECT 2 Telecom Churn Prevention Telecom is an extremely competitive sector and the existing players face the constant challenge of customer churn. Learn how churning customers can be identified in this sector PROJECT 3 Spark Funds Investment Spark Funds is looking for new avenues to invest its surplus funds in the startup ecosystem. Help the fund identify the geographies and sector for its investment to maximise the return. PROJECT 4 Retail Giant Sales Prediction Help a Retail giant predict the future sales volume of retail goods using time series forecasting so that it can plan the production and logistics better. PROJECT 5 Creditworthiness of Customers Learn how predictive analytics can be used to decide the creditworthiness of customers and whether they be issued a credit card or not. PROJECT 6 E-commerce Market Mix Modelling E-commerce websites often face the challenge of how much to spend on which marketing channel. Use modelling to help them figure out the optimal spend across channels to drive sales. Program Vitals Course Duration March 2017 - Jan 2018 11 Months Time Commitment 10-15 hours per week Program Fee Rs. 2,00,000(Incl. taxes) Flexible EMI options Program Syllabus 7 Courses 11 Months Introduction to Data Management Introduction to Data Analytics Understand what is data analytics & its applications across industries Introduction to Data Sets and Data Models Learn how to solve problems & understand the relevant data set structures for solving them Business and Data Understanding Equip yourself with the skills to understand business problem and data intuitively Data Warehousing and OLAP Equip yourself with the knowledge to extract and pre-process data before analysis Data Visualization Make your data alive with visuals using R, Excel and tools like Tableau Case Study - Investments Implement your learnings to find sectors in which different companies ought to invest Statistics and EDA Descriptive Statistics Summarize and describe data sets using a measures such as Central tendency and variability Inferential Statistics Learn probability, Central Limit Theorem and much more to draw inferences Exploratory Data Analysis Derive initial insights from the data using R and other visualization tools Hypothesis Testing Understand how to formulate & test hypotheses to solve various business problems Design of Experiment Use Design of Experiment methodology for data collection Case Study- Uber Supply Demand Gap Apply Statistics and understand how you can solve the supply demand gap of cabs for Uber Introduction to Predictive Analysis I Data Preparation for Modelling Equip yourself with the techniques and tools to prepare data for modelling Introduction to Machine Learning Learn all about Tasks, Features, Models and design of ML study Linear Regression Learn to implement linear regression and predict continuous data values Supervised Classification Understand and implements algorithms like K-NN, Naïve Bayes, Logistic Regression and Support Vector Machines Clustering Learn how to create segments based on similarities using K-Means and Hierarchical clustering Case Study- Telecom Churn Help a telecom giant predict if a customer will churn or not. Apply multiple algorithms simultaneously to see which one works the best Introduction to Predictive Analysis II Model Selection Equip yourself with the knowledge to select the best algorithms for your data Generalized Regression What if the data doesn’t follow a straight line? Learn Ridge regression, regularized regression and LASSO Time Series Learn how to predict on time dependent/variant data Decision Trees Tree based model that is simple and easy to use. Learn the fundamentals on how to implement them Neural Networks Master Feed-forward, Recurrent and Gaussian Neural Networks. This is your way into AI! Ensembles Learn how algorithms can be combined for better results Association Rule Mining Ever wonder why beer is kept next to diapers in superstores? Find out in this module Big Data Analytics Introduction to Big Data And Hadoop Understand the basic concepts of Big Data and used Hadoop as processing platform for Big Data Managing Big Data Learn and Use Hadoop Ecosystem tools for data ingestion, extraction and management. Hadoop ecosystem tools namely Sqoop, Hive will be covered in this Module Introduction to Spark Understand and use Spark, a fast Big Data processing platform. Also learn the basics of Scala Big Data Analysis Learn how to analyze Big Data using SparkR, SparkSQL. Learn the basics of MLib Domain Electives BFSI Learn Customer analytics and Risk Analytics within BFSI E-Commerce/Retail/CPG Learn customer marketing analytics and recommendations engines Telecom Learn how analytics is revolutionizing both Telecom domain Health Care/Life Science Understand analytics usage in Healthcare improvement and drug discovery Elective would be launched only if there is a sizeable student demand for the particular elective. Capstone Project The 3 month flagship capstone project will reinforce your specialization under the mentorship of an industry professional |