Master Program
Data Science & Analytics
- 4.721 students
- Last updated : March 7, 2026
Overview
The Data Science & Analytics Program is designed to help learners build strong analytical skills and gain hands-on experience in solving real-world business problems using data. This program covers the complete journey from data collection and cleaning to advanced analytics, visualization, and machine learning — making learners job-ready for roles in analytics and data-driven decision-making.
This course is ideal for students, working professionals, IT/non-IT career switchers, and anyone aiming to start or advance their career in Data Science or Analytics.
Program Objective
- Develop a solid foundation in statistics, Python, SQL, and data handling.
- Gain expertise in data cleaning, analysis, and visualization for business insights.
- Build predictive models using industry-standard machine learning techniques.
- Learn to create interactive dashboards and reports using leading BI tools.
- Work on real business case studies across multiple industries.
- Become job-ready for roles like Data Analyst, Business Analyst, and Junior Data Scientist.
What You Will Learn
- Statistics & Probability
- Python Programming for Data
- SQL for Data Extraction
- Excel/Sheets fundamentals
- Data types, data formats, data pipelines
- Data cleaning and preprocessing
- Handling missing values & outliers
- Exploratory Data Analysis (EDA)
- Feature understanding & correlation studies
- Working with large datasets
- Dashboard creation (Power BI / Tableau)
- KPI-driven reporting
- Business problem framing
- Data storytelling and presentation skills
- Regression & classification
- Clustering & segmentation
- Time-series forecasting
- Model metrics & evaluation
- Feature engineering techniques
You will solve business problems from domains such as:
- Healthcare
- E-commerce
- Banking & Finance
- Supply Chain
- Manufacturing
- Renewable Energy
- Social Media & Marketing
Each project is structured to reflect actual industry scenarios and datasets.
Tools & Technologies Covered
Pandas, Numpy, Matplotlib, Seaborn, Scikit-Learn
SQL (MySQL, PostgreSQL, BigQuery)
Power BI, Tableau
Git & GitHub
Excel, Jupyter Notebook, Google Colab
Career Outcomes
Upon completing this program, learners are prepared for roles such as:
This course prepares you to work confidently in industries like IT, consulting, finance, healthcare, retail, telecom, and manufacturing.
Why Learners Choose This Program
- Curriculum aligned with current job postings and industry demands
- Hands-on experience with real datasets and projects
- Practical, tool-driven approach rather than only theory
- Support for portfolio building and interview preparation
- Step-by-step learning path from beginner to job-ready professional
Instructor
Data Science Expert
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