AICouncil creates training and development program with maximum focus over hands 0n learning experiences. This training will lead to in depth knowledge of R programming and its use cases in Data Science domain. You will develop experience over inbuilt functions and libraries of R and understand its robustness, flexibility and ease of coding. The techniques such as clustering, time-series analyses and classification techniques, nonlinear/linear modelling and classical statistical tests will be used in different data science computations. The course will cover data exploration, data visualization, predictive analytics, and descriptive analytics techniques with the R language. You will learn about R packages, how to import and export data in R, data structures in R, various statistical concepts, cluster analysis, and forecasting.
Industry: - Banking and Finance
Problem Statement: - Analyse customer and applicant data to identify any possible fraudulent activity or operation
This project will let you work with credit card dataset for real time analysis and defining attributes describing customer characteristics to build a classification model to predict which customer is likely to default a credit card payment next month. The process will involve performing data analysis and plotting score performance with respect to variables
Industry: - Entertainment and E-Commerce
Problem Statement: - Develop a recommender system for shows and movie recommendation over platform like Netflix
This project will let us understand how to work with raw data and make use of processes like Data Cleaning, Data Visualization, Distribution, Recommender Lab to develop a system to recommend specific movie or show after understanding and analysing the preferences of users
Industry: - Healthcare
Problem Statement: - Make a prediction model to know how likely is a patient to get chronic kidney disease
This project will be done using health history data of a patient to know about the probability of getting infected or suffering from chronic kidney disease
Industry: - Inventory Management
Problem Statement: - A company wants a build a tool to help their managers to in analysing the inventory to increase cross selling
This project will make use of tools and techniques like Association Rule, Mining, Data Extraction and Data Manipulation to work upon real time inventory data and make a model analysed to manage whole thing quite effectively and maintain the product associated with crossponding products requirement
Industry: - Banking
Problem Statement: - Predict the approval rate of loan for an applicant
The project will help the banking system by using Data Pre-processing, PCA, Cleaning Ops and Data Visualization to make prediction that about how much is it safe to grant a loan to a person. You will build a machine learning based model to predict the loan application status based upon the user earnings, expenses, banking transaction, financial behaviour and other loan or lending status
There is no such prerequisite if you are enrolling for Master’s Course as everything will start from scratch. Whether you are a working IT professional or a fresher you will find a course well planned and designed to incorporate trainee from various professional backgrounds.