Data Science / Data Analytics / Business analytics
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What We teach
Data Science is a concept used to understand and analyze data to get insights. It is an umbrella term which encompasses several related fields like Mathematics, Statistics, Computer Science, Machine Learning, Data Mining, Visualization etc. It is the foremost problem-solving tool of the current age.
Machine Learning is defined as the practice of using algorithms to use data,learn from it and then forecast future trends for that topic. It uses various algorithms and techniques like regression, classification and clustering. Essentially it looks at the past data and predicts the future.
Deep Learning is a machine learning technique that constructs artificial neural networks to mimic the structure and function of the human brain. In practice, deep learning, also known as deep structured learning or hierarchical learning, uses a large number of hidden layers.
Artificial intelligence (AI) is wide-ranging branch of computer science concerned with building smart machines capable of performing tasks that typically require human intelligence. AI advancements in machine learning and deep learning are creating a paradigm shift in virtually every sector of the tech industry.
Digital data availability has increased tremendously over a period of time with implementation of enterprise applications. However, there is an acute shortage of professionally trained personnel who understand the potential of Big Data Analytics which transforms the businesses.
While the curiosity in analytics and resulting benefits are growing day by day, organizations are tested by the unpredictability and disruption that business environment can create. To overcome this, organizations must follow an approach of revealing the insight in their data to drive business decisions.
Data mining is a process used to extract usable data from a larger set of any raw data. It implies analysing data patterns in large batches of data using one or more software using various data preparation, data cleaning, data conceptualising methods. It exposes to storage and cloud technologies.
It’s a global network infrastructure, linking physical and virtual objects using cloud computing, data capture, and network communications. It allows devices to communicate with each other, access information using Internet, store and retrieve data, and interact with users, creating always-connected environments
The Introduction to Digital Marketing & analytics module enables to harness the power of Digital Marketing as a core driver of the marketing strategy for any organisation. Understand the foundation principles of Digital Marketing, and be able to distinguish how it differs from traditional marketing.