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Course

Master Certificate In Data Science

Unlock the limitless potential of Data Science with our Master Certificate program. Tailored to meet the industry's growing demand for skilled professionals, this program covers Data Science, Data Engineering with Python, Data Science with R, and Data Analytics with Power BI—opening the door to diverse career paths in data analysis, business intelligence, and strategic decision-making.

About Master Certificate in Data Science

Learn the full data science lifecycle—data collection, cleaning, exploration, modeling, and visualization.

Gain practical experience using Python, SQL, Pandas, NumPy, and scikit-learn.

Explore real-world projects in finance, healthcare, marketing, and operations analytics.

Master machine learning, statistical inference, and predictive analytics.

Earn a respected Master Certificate that validates your ability to work as a data science professional.

Master Certificate in Data Science Curriculam

The Master Certificate in Data Science is designed to propel you toward success in the rapidly evolving field of data. Through rigorous training and hands-on experience, we provide you with the expertise to excel in data-driven roles. Our curriculum aligns with industry demands, bridging the gap between your current skill set and the competencies required to become a successful Data Science professional. Upon completion, you'll have the knowledge and practical skills to drive data-driven decisions, uncover valuable insights, and make a meaningful impact within your organization

  • Python
  • Analytics Using Python
  • Basics and Syntax
  • Data Structures and Types
  • Fundamental Features
  • Introduction to Python
  • SQL
  • Backup and Restore Procedures
  • Constraints and Data Types
  • Database Management
  • Functions and String Operations
  • Introduction to SQL and RDBMS
  • Joins and Aggregate Functions
  • 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
  • Advanced Algorithms
  • Big Data and Genetic Algorithms
  • Classification Algorithms
  • Clustering Algorithms
  • Introduction to Machine Learning
  • Neural Networks and Deep Learning
  • Regression Algorithms
Certificate

Upon successful completion of the Master Certificate in Data Science, learners will receive a certification that confirms their expertise in applying statistical methods, machine learning, and programming to analyze and solve complex data problems. The certificate demonstrates readiness for roles in data analysis, data science, and AI-driven decision-making.

Master Certificate in Data Science

Tools Covered

How we prepare you

Python

Data Science Foundation Training Panel of Coaches
Master Certificate in Data Science
Krithik Balasubramaniam

Krithik Balasubramanian is a highly accomplished Data Science and Artificial Intelligence (AI) Trainer with over 20 years of extensive experience in the field. He possesses a deep and comprehensive understanding of machine learning, deep learning, natural language processing (NLP), computer vision, big data analytics, and cloud-based AI solutions.

Krithik has consistently delivered impactful training programs tailored to both industry professionals and academic learners, helping bridge the gap between theoretical knowledge and practical application. With a passion for empowering the next generation of AI talent, he remains at the forefront of emerging technologies, integrating the latest tools and techniques into his training methodology.

This course is ideal for graduates, professionals, and aspiring data scientists looking to build or upgrade their careers in analytics and machine learning.

You will learn data cleaning, analysis, statistics, machine learning, predictive modeling, and data visualization using industry-standard tools.

Yes! You'll work on real-world datasets, case studies, and a final capstone project to demonstrate your data science expertise.

You’ll use Python, SQL, scikit-learn, Power BI, Tableau, TensorFlow, and cloud platforms like AWS or GCP.

Upon completion, you’ll receive a Master Certificate in Data Science, proving your capability to analyze, model, and present data effectively for business and research applications.