Master's Program in Data Science and Machine Learning

3.26 billion people used the internet in 2015 It was 4.66 billion in January 2021. Users upload 500 hours of video content every minute to video streaming platforms. Online shopping is worth one million dollars and users are applying for around 69 444 jobs through job portals every minute. Every swipe, like, share and comment is crucial for the growth of a business. Data Science is crucial. Data-driven business decisions are made to reach potential customers/audiences to increase their business. Data Science employs Machine Learning techniques to analyze data and make predictions. OTT platforms may recommend movies or series, while shopping websites might suggest products you might be interested in purchasing based on previous purchases. In Data Science, we gather huge chunks of data, filter/group them based on our necessity/application, and use mathematics & statistics to see the pattern behind it. We can then find the answers we are looking for. Machine Learning uses data to train and test our models. Machine Learning is about building models that can learn from data and produce predictions or results based on trends. Examples include recognising fingerprints, predicting stock prices and self-driving cars. Let's look at a situation where Machine Learning and Data Science go hand in hand. A data scientist works with data in five steps. Data gathering, analysis and decision making based upon the insights are the first steps. A data scientist then needs to work with a machine learning engineer in order to build a model that uses the data to make predictions. These steps can vary depending on the application. Not all Data Science problems require a Machine Learning solution. Data Science and Machine Learning have many applications. In recent years, the opportunities in this area have increased exponentially. This program, "Masters in Data Science and Machine Learning", is for people who want to succeed in this field. You will learn the basics and then apply them in real-world situations. This Master's program includes 6 courses. These courses are Math behind Machine Learning & Artificial Intelligence with Python SQL for DataScience Core, and Advanced Python Programming Machine Learning For Electrical Engineers Using Python Machine Learning & Artificial Intelligence & Mechanical, Civil & EE Engineers Using Python Advanced Deep Learning