IBM - Data Scientist 

This program caters to working professionals from a variety of industries and backgrounds

The diversity of our students adds richness to class discussions and interactions

A role in data science requires an amalgam of experience, data science knowledge, and the use of the correct tools and technologies

It is a solid career choice for professionals seeking to transition into the data science field

Aspiring professionals of any educational background with an analytical bent of mind are most suited to pursue this Post Graduate Program in Data Science

• Gain an in-depth understanding of data structure and data manipulation
• Understand and use linear and non-linear regression models and classification techniques for data analysis
• Obtain an in-depth understanding of supervised and unsupervised learning models such as linear regression, logistic regression, clustering, dimensionality reduction, K-NN, and pipeline
• Perform scientific and technical computing using the SciPy package and its sub-packages such as Integrate, Optimize, Statistics, IO, and Weave
• Gain expertise in mathematical computing using the NumPy and Scikit-Learn packages
• Master the concepts of recommendation engine and time series modeling and gain practical mastery over principles, algorithms, and applications of machine learning
• Learn to analyze data using Tableau and become proficient in building interactive dashboards

• This IBM-sponsored Data Science course includes unique hackathons, masterclasses, webinars, and Ask-Me-Anything sessions
• The online training will give you hands-on experience with R, Python, Machine Learning, Tableau, Hadoop, and Spark. Improve your knowledge with this Data Science course and live interaction with other practitioners and Machine Learning Engineers
• This course offers extensive training on the most in-demand Data Science and Machine Learning skills with hands-on exposure to key tools and technologies, including Python, R, Tableau, and concepts of Machine Learning