Data scientists find and interpret rich data sources and are skilled in mathematics, statistics, and computer science. Students electing this option will take courses and do research in mathematics, computer science, and information systems.

Mathematics,Calculus,Linear Algebra,Simple neural networks, Principal component analysis,Multivariate calculus,Eigen values& eigen vectors etc.

Fundamentals of Statistics, Random Variables,Distributions,Normal Distribution,Central limit theorem etc.

Rs 10,000

Learn how to extract and analyze data stored in databases.Then learn to do more complex analysis and manipulations using subqueries etc

Statistical tools, and the programming languages are the backbone when we need to represent, model, manipulate & think about large quantities of data.

Rs 15,000

R programming language, developed by Ross Ihaka and Robert Gentleman in 1993, is widely used for applications related to data science. R provides support for an extensive suite of statistical methods, inference techniques, machine learning algorithms,statistics, time series analysis, data analytics, graphical plots to list a few. These features make it a great language for data exploration and investigation.

Python programming has various frameworks & features to expand in web application development, graphical user interfaces, statistics ,data analysis, data visualization etc. Python is extensively used by many organizations for various purposes.Python is a must-learn programming language for the professionals working in the Data Science domain.

Rs 15,000

Statistics, Estimation Methods,Confidence Interval,Hypotheses Test,Regression Analysis,Time Series Models & Applications,,ARIMA Model,Monte Carlo simulation,Generalized linear models,Bayesian Network Analysis,Markov Process,Stochastic Process,Bootstrapping,Hidden Markov Chains,Couplas,Extreme Value Theory,Multivariate Calculus etc

The digital revolution has created vast quantities of data. Extracting knowledge and insight from this avalanche of information is the goal of data science, a rapidly growing field with applications in such areas as marketing, education, and sports, as well as scientific fields such as genomics, neuroscience, and particle physics in addition to statistics. Working with large data sets, they will build mathematical models, use advanced statistical methods, and implement machine learning algorit

Statistical data analysis are immensely useful in solving economic problems such as wages, price, time series analysis, demand analysis.We can use the skills in areas of work in Insurance, mortality,marketing, public health, biology, even sports.

**Employment** of statisticians is projected to grow 31 percent from 2018 to 2028, much faster than the average for all occupations. **Growth** is expected to result from more widespread use of **statistical analysis** to make informed business, healthcare etc.

Data science profoundly influences everything from business decisions to national security to what consumer products we buy. It impacts retail markets,solves public health dilemmas,Improves our manufacturing process to produce a better product.

We can better predict future disease outbreaks using the real-time exchange of clinical health information.A recent study on hiring trends in India indicates that 97,000 positions related to data science are currently vacant due to a dearth of skills.

**Machine learning** brings together computer science and statistics to harness that predictive power. It's a must-have skill for all aspiring data analysts and data scientists, or anyone else who wants to wrestle all that raw data into refined trends and predictions.

**Machine Learning** can be a rewarding **career** for students who are **good** in mathematics and statistics and have programming skills. The field of **Machine Learning** offers a promising **career** path with lucrative salaries.

AI is going to change the world more than anything in the history of mankind.Artificial Intelligence helps in finding solutions to complex business problems in a more human-like fashion..AI is applied on intelligent implementations, which includes robots, smart cars, consumer electronics etc. along with various apps and business solutions. A 2019 report from Gartner shows that enterprise applications for AI have grown 270% in four years, fueling a level of demand that outstrips the supply.

The varied applicability of mathematics & AI in a multitude of industries including entertainment, transportation, finance, retail etc. makes this technology a hot job & career destination.

AI and machine learning have the potential to create an additional $2.6 trillion in value for marketing & sales by 2020.

Course Covers Machine Learning,Deep Learning,Image Classification,Computer Vision ,Logic Programming.Heuristic Search Techniques & Creating Intelligent Agents with Reinforcement Learning.

Course Covers In depth- R Programming, Python Programming, Advanced Applied Statistical Techniques.

Main Topics are Linear Regression, Logistic Regression, K nearest neighbors and Decision Trees, Support Vector machine, Random Forest, and Naive Bayes.

Dimensionality Reduction, k-means Clustering,Hidden Markov Model

,DBSCAN Clustering,Principal Component Analysis,Singular Value Decomposition,Association Rule

Course Covers In depth- R Programming, Python Programming, Advanced Applied Statistical Techniques.

Main Topics are Linear Regression, Logistic Regression, K nearest neighbors and Decision Trees, Support Vector machine, Random Forest, and Naive Bayes. Dimensionality Reduction, k-means Clustering,Hidden Markov Model

,DBSCAN Clustering,Principal Component Analysis,Singular Value Decomposition,Association Rule

Master the concepts of Deep Learning to build artificial neural networks,concept of NLP

**Actuarial science is a niche study domain that deals with the management of financial risk that applies mathematical & statistical methods. Anyone with an interest in numbers, likes solving complex problems can become an actuary.Find out how you can build a successful & future-proof career in actuarial sciences. **