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Data Science - Regular Course

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Data science is a multi-disciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from structured and unstructured data. Data Science unlocks the predictive and prescriptive potential of data analysis to improve financial performance, strategic management, and operational efficiency. Individuals with analytics skills are in short supply and employer demand for analytics talent is projected to intensify in coming years as the amount of data continues to grow.


The course is intended for anyone interested in developing skills and experience to pursue a career in Data Science or Machine Learning.

The course provides students with the latest job-ready skills and techniques covering a wide array of data science topics including: Data Management, Big data, Advance statistics, Python, R, SQL, data visualization, data engineering, machine learning and deep learning.
• Distinctive programme of 300 hours
• Hands on learning facilitated by industry experts
• In-depth learning modules for analytics


• Teach application of concepts of Big Data, Machine Learning, Deep Learning to vertical industry solutions
• Develop the ability to solve business problems using deep learning and machine learning.
• Understand data – data gathering, data exploration, data manipulation and data visualization.
• Understand data engineering – demystifying semi-structured/unstructured data, big data framework, cloud architecture.
• Perform data analysis using advanced statistical techniques
• Understand functional aspects of Data Science
• Recognize analytics applications in various business verticals
• Learning on updated technology platforms
• Complete application focused training


The curriculum for this certification course covers the complete life cycle of data science.

This includes:
• Programming languages R /Python
• Data Management
• Data Visualization
• Analytics Foundations
• Advanced statistics
• Data mining
• Data engineering
• Machine Learning
• Deep Learning
• Capstone project


• Apply concepts of Machine learning, Deep learning to vertical industry solutions
• Perform data analysis using statistical techniques
• Understand functional aspects of Data Science
• Recognize analytics applications in various verticals


Certification is provided by Intel and Boston Training Academy


The faculty are drawn from leading academicians and industry experts.


• Working professionals with minimum 2 years of relevant experience.
• New graduates with an analytical bent of mind and superlative academic credentials with Engineering background.
• Should possess a Bachelor’s or Master’s Degree in Science/ Engineering/ Mathematics/ Statistics/ Economics or an equivalent qualification with Mathematics/ Statistics as one of the subjects


300 hours, spread out over 6 months


Rs Two Lakh Fifty Thousand (plus GST)


Admissions open now for Spring Intake.


Scholarships are available to deserving candidates. Contact us for details