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Master Certificate in Data Science

Discover the boundless opportunities in Data Science with our Master Certificate program. Tailored to meet the industry's demand for skilled professionals, our courses in Data Science, Data Engineering with Python, Data Science with R, and Data Analytics with Power BI pave the way for diverse career paths in data analysis, business intelligence, and strategic decision-making.

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Course objective

This master certification is designed to propel you towards success in this rapidly evolving field. Through rigorous training and hands-on experience, we empower you with the expertise needed to thrive in data-driven roles. By aligning our curriculum with industry demands, we bridge the gap between your current skill set and the competencies required to excel as a Data Science professional. Upon completion of our program, you will possess the knowledge and practical skills to drive data-driven decisions, uncover valuable insights, and make a meaningful impact in your chosen organization.

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Program Duration

226


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Accredited by

NASSCOM FutureSkills Prime

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Flexible Learning

In-center and online


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Project-based Assessment

Hands-on with assessment

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Placement Support

Upon successful completion

Key Topics Covered

Data Analytics
  • Advanced Visualizations
  • Dashboard Building
  • Data Preprocessing & Calculated Fields
  • Formatting in Tableau
  • Geo Spatial Analysis
  • Tableau and Data Visualization
  • Working with Amazon Cloud & MySQL
Python
  • Advance Features
  • Analytics using Python
  • Basics and Syntax
  • Data Structures and Types
  • Fundamental Features
  • Introduction
Machine Learning
  • Advance algorithms
  • Big Data and Genetic Algorithms
  • Classification Algorithms
  • Clustering Algorithms
  • Introduction to Machine Learning
  • Neural Networks and Deep Learning
  • Regression Algorithms

Scope & Career Opportunities

This course covers both fundamental and advanced machine learning concepts, such as data preparation, feature engineering, model selection, and optimisation. You will learn to use and implement popular machine learning algorithms such as regression, clustering, and decision trees in Python and R.

Who is this Course suitable for?
  • Aspiring data scientists
  • Software developers
  • IT professionals
  • Analytics professionals
  • Graduates looking for a career in AI
Salary Range Penetration
About

Real-time Professional project experience to prepare student for their future

Clearly communicate the benefits of using the app. Explain how it solves a problem or improves the user's life in some way. Focus on the value proposition and what makes the app worth downloading. Include a prominent call-to-action button that encourages visitors to download the app or sign up for a free trial.

Clearly communicate the benefits of using the app. Explain how it solves a problem or improves the user's life in some way. Focus on the value proposition and what makes the app worth downloading. Include a prominent call-to-action button that encourages visitors to download the app or sign up for a free trial.Clearly communicate the benefits of using the app. Explain how it solves a problem or improves the user's life in some way. Focus on the value proposition and what makes the app worth downloading. Include a prominent call-to-action button that encourages visitors to download the app or sign up for a free trial.

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