Build foundational skills in Data Science & Business Analytics and learn to apply across industries and functions through the right mix of in-person training, online training, and self-paced learning.
Predicting House prices in Melbourne
In Melbourne, real estate sector is going through major fluctuations. As a result, the prices of residential properties have become really unpredictable. This has become a serious issue among real estate agencies. The agencies are not able to estimate the right price of the property hence not able to maintain consistent margins over the sales.
Homes1221, one such real state agency wants to predict the prices of the houses in Melbourne city using the data for 2014-2015 so that no house is being sold at unfair prices.
Predicting Churn for a DTH company
Telecommunications industry is one of those industries where attrition/churn rates of customers is really high. This is primarily due to availability of multiple options to users with a wide variety of offers and promotions running round the year. In any industry, the cost of acquisition of a customer is much higher than cost of customer retention. Hence, organizations lure their customers with attractive offers and schemes to retain them. However, it is difficult to identify customers who are on the verge of attrition.
Apprehensive Entertainment Pvt. Ltd. Is one such DTH Company that is facing such challenges. So the company needs to identify the customers who may leave the company so that they can target them with retention offers.
Forecast monthly sales for a retail franchise
Black Sheep is a dairy franchise which has number of stores across the globe in India, US, Europe, Dubai and Singapore. The sales were seen to increase when there were promotions or on holidays. But there were times when there were very low number of sales despite having promotions in the stores. It became difficult for the company to manages the stock accordingly in different stores.
Black Sheep decided to build a time series forecasting model which would help them predict the sales and so that they can accommodate their stocks in the respective store accordingly and all the stores has inventory stock according to the sales predicted for that particular store.
Customer segmentation for an insurance company
Modern technologies have brought the promotion of products and services to a qualitatively new level. Different customers tend to have specific expectations for the insurance business. Insurance marketing applies various techniques to increase the number of customers and to assure targeted marketing strategies. In this regard, customer segmentation proves to be a key method.
InsuredU, a car insurance company wants to do customer segmentation based on customer profile, vehicle profile, customer purchase behaviour etc. to help them build right marketing strategies for different customer segments.
Capstone Project 1
Apprehensive Entertainment Pvt. Ltd. Is a DTH Company. In was founded in the year 2011, with offices in US, Dubai and India. At present it has around 350, 000 worldwide subscribers. Due to the rise in competition, many of its subscriber are leaving the company. Though this problem is across the countries but it is prominent in India. Mr. Srinivas (VP, Sales) has thought of an innovative idea for customer retention.
Srinivas want to execute a strategy for a select group of subscribers who are most likely to leave. He needs your help in identifying the customers who may leave the company.
Capstone Project 2
As Italy is famous for wine, there are a lot of producers producing top quality wines. But to produce the best quality and best-tasted wine, it needs to analyse the amount of chemicals they need to club together to produce the same. So they need to classify the properties of wine according to the taste, quality etc. Le Smith, a wine producer needs to analyse the chemicals grown and in what quantity it needs to be present in the wine. So the company hires you to cluster the wine data according to the wine properties so that they can segregate the wines accordingly.
Your task is to build an appropriate model to accomplish the business objective.
Capstone Project 3
MRV International is a retail chain, situated in UK. It has 10 stores located across the country. Recently it is facing issues in inventory management. It wants to ensure that each store should have just the right amount of stock available such that there should not be any stock-outs and at the same time there should not be any extra inventory management cost incurred by the company. In this case study, you will help MRV international by doing demand forecasting. You have to predict 3 months of sales for 50 different items at all the stores of MRV international.
Build an appropriate model to predict the claim amount of the insurance
Starter Pack
Prepare yourself for the classroom sessions with STARTER PACK which includes online videos, CleveredLab, exercises, and quizzes.
In-person Training
Attend 3-day Bootcamp (30 hours) in your city. Learn and apply data science. Learn to build Data Science solutions.
Refresher Pack
Continue learning with REFRESHER PACK which includes a one-to-one session on mentorship and career design along with 2 live online sessions for Capstone projects, assignments, exercises and quizzes spread over 2 months.
Capstone Project Submission & Presentation
Submit your capstone project and present your project to industry experts
Data Science is becoming central to all organizations. Here you will be trained by the experts who will be assisting you in solving real-time problems, which can be useful for you once you start working on it at your workplace. You will be provided with tricks, techniques, and quirks to resolve the issues in no time which would eventually prove to be beneficial in your work.
Yes, you will be eligible to get two certificates - Certificate of Participation and Project Completion Certificate.
If you miss any session, you can choose either of the two options:
Our program instructors have a rich experience of more than 10 years in Data Science, Analytics Consulting, Machine Learning & AI and Risk Analytics projects across industries and geographies. They come from reputed organizations like Accenture Management Consulting, BCG, Bain & Company, Barclays, Standard Chartered etc. with education in premium institutes like IITs with more than 1000+ hours of experience in analytics training sessions across the world.
14+ years of experience in building analytical solutions & digital strategy for large organizations. Rich experience in conducting analytics training for over 5000 hours in the last 3 years. Conducted classroom training and online training in India & abroad. Tie-ups with several organizations & institutions for analytics training. He has helped over 30 global organizations transform their business using customer, marketing, workforce & operational analytics across retail, banks, NGOs, DTH, Telecom & CPG. He has been instrumental in managing & growing multi-million dollars analytics projects in retail, HR, marketing & customer loyalty.
Expertise
Foundation program in Machine learning, Deep learning & Artificial Intelligence
Foundation program in Machine learning, Deep learning & Artificial Intelligence
Foundation program in Machine learning, Deep learning & Artificial Intelligence
Batch start dates
Build the skills required for a business manager to leverage analytics
Build the skills required for a business manager to leverage analytics
Batch start dates
Idle for professionals interested in the solutions architect role.