DATA SCIENCE MASTER

Overview:

Since every successful company has a strong focus on data, data experts have become more important to the overall success of the company. With a shift away from narrowly specialised professionals and toward those with a broader skill set, the World Economic Forum forecasts that by 2022, job titles will be less essential than abilities. Now is the moment to learn new skills so that you can take advantage of this expanding trend.

All working professionals can benefit from the Data Science Master Program’s interactive learning model, which includes live sessions by global practitioners, practical labs, IBM Hackathons, and industry projects. R, Python programming, Machine Learning algorithms and NLP concepts, Data Visualization with Tableau are all covered in great detail.

Key Learning’s:

• Learn about data science procedures, data wrangling, data exploration, data visualisation, hypothesis creation, and testing, as well as the fundamentals of statistics.
• Know the fundamentals of Python programming, including datatypes, tuples, lists, dicts, basic operators, and functions.
• Use the NumPy and SciPy packages and their huge library of mathematical functions to perform high-level mathematical computations.
• Gain a thorough grasp of supervised and unsupervised learning models like as linear regression, logistic regression, clustering, dimensionality reduction, K-NN, and pipeline utilising the Pandas package’s data structures and tools.
• For natural language processing, use the Scikit-Learn package, and for data visualisation, use the Python matplotlib module.