PROFESSIONAL CERTIFICATE IN DATA SCIENCE
- Industry-recognized Professional Certificate Program
- No prior coding experience required
- Project-based learning with real-world datasets
- Expert mentorship from data science practitioners
- Hands-on training in Python, Statistics & Machine Learning
- Dedicated career support and placement assistance
- Globally relevant, industry-aligned curriculum
- Work on capstone & mini projects for portfolio building
Professional Certificate in Data Science
Gain industry-ready data skills through hands-on projects and expert mentorship.
The Professional Certificate in Data Science is a career-focused program designed for learners aiming to build a strong foundation in data analytics, statistics, and machine learning.The comprehensive curriculum emphasizes applied learning through real-world case studies, enabling participants to make data-driven decisions and communicate insights effectively. This program is ideal for graduates, working professionals, and career changers who wish to upskill or enter the fast-growing field of data science.
Regular Program
6 MonthsComplete data science curriculum with projects and mentorship
Specialization
3 MonthsAdvanced skills in ML, AI, data engineering and analytics
Placement Activity
6 MonthsCareer acceleration, interviews and hiring support
Program Curriculum
Comprehensive modules and hands-on projects to build data science expertise.
Core Modules
6-month comprehensive core modules.
Introduces Python programming language focusing on data science applications. Covers data structures, control flow, functions, OOP, and libraries like NumPy, Pandas, Matplotlib. Students learn to write clean, efficient code for solving real-world problems.
Explores supervised and unsupervised learning algorithms. Covers regression, classification, clustering, model evaluation, feature engineering, cross-validation, and ethical AI practices using Scikit-learn and TensorFlow.
Develop advanced querying and database design skills using SQL on MySQL, PostgreSQL, and SQL Server. Learn joins, subqueries, stored procedures, window functions, and optimization for enterprise data management.
Focuses on Power BI for advanced visualization and analytics. Learn DAX functions, data modeling, Power Query ETL, storytelling dashboards, and report security in enterprise BI environments.
Covers advanced Tableau dashboards, blending multiple data sources, mapping, parameter controls, and performance tuning. Emphasizes storytelling, collaboration, and enterprise design practices.
Introduces AI-driven analytics using NLP, AutoML, and intelligent data discovery tools. Learn prompt engineering, AI-assisted coding, and ethical implications with platforms like ChatGPT, AutoML, and Microsoft Cognitive Services.
Applied Learning Projects
4 enterprise-grade capstone projects for portfolio.
Python–SQL Business Data Integration Project
Build end-to-end data pipelines by integrating Python with SQL databases to extract, transform, and load business data for real-world analytics.
Machine Learning Pipeline Project
Design and deploy scalable ML pipelines with data preprocessing, model training, evaluation, and optimization techniques for predictive analytics.
Business Intelligence Dashboard Project
Create interactive Power BI dashboards to visualize key business metrics and enable data-driven decision making for stakeholders.
AI-Enhanced Analytics Project
Leverage artificial intelligence and advanced analytics to uncover insights, automate data processing, and build intelligent reporting systems.
The Data Science Landscape
Designed to launch or advance your career in data science.
Industry Curriculum
Job-aligned curriculum designed by industry experts.
100+ Learning Hours
Live sessions, labs, mentoring and doubt-solving.
10+ Projects
Hands-on projects using real-world datasets.
Career Outcomes
Strong learner success in role transitions.
Alumni Highlights
200+
Global Companies
$122K PA
Average CTC
$250K PA
Highest CTC
87%
Average Salary Hike
Benefits
Learn from leading academicians and several experienced industry practitioners from top organizations.
Personalised workshops based on your proficiency level to help you get on par.
Mix of Live Classes & Recorded lectures for your convenience.
24×7 Student Support, Quick doubt resolution by industry experts.
Program Highlights
See which benefits you can derive from joining this program.
Online Program
- Instructor-led live sessions
- Hands-on labs
- Expert mentorship
Collaborations
- University & industry partnerships
- Global exposure
- Alumni network
Dedicated Support
- Academic guidance
- Tech support
- Continuous mentoring
Job Readiness
- Portfolio-driven learning
- Interview preparation
- Career mentoring
Capstone Projects
Test your skills and mettle with a capstone project.
Election Outcome Prediction
Analyze historical election data to predict election outcomes and understand factors influencing voter behavior.
E-commerce
Techniques used: Text Mining, Kmeans Clustering, Regression Trees, XGBoost, Neural Network
Web & Social Media
Techniques used: Topic Modeling using Latent Dirichlet Allocation, K-Means & Hierarchical Clustering
Banking
Techniques used: Linear Discriminant Analysis, Logistic Regression, Neural Network, Boosting, Random Forest, CART
Supply Chain
Techniques used: Text Mining, Kmeans Clustering, Regression Trees, XGBoost, Neural Network
Healthcare
Techniques used: Logistic Regression, Random Tree, ADA Boost, Random Forest, KSVM
Retail
Techniques used: Market Basket Analysis, Brand Loyalty Analysis
Insurance
Techniques used: NLP (Natural Language Processing), Vector Space Model, Latent Semantic Analysis
Our Learners Work At
Leading companies that value data skills.
