Data Science & Analytics Bootcamp

From Theory to Job-Ready Skills

Level

Beginner to Intermediate

Format

Hands-on labs, coding exercises, analytics projects, weekly practice

Ideal For

Engineering students, Computer Science majors, MCA/Statistics students

Outcome

Industry-ready professionals skilled in analytics, visualization, and data-driven problem solving

The Opportunity

2.3 million AI & DataScience jobs projected by 2027 vs. only 1.2 million skilled
professionals in India.

About the Program

Many students learn technical concepts academically but lack practical experience in applying data science and analytics skills to real-world business problems. This program bridges the gap between theory and industry application.

Through hands-on coding sessions, analytics projects, data visualization exercises, and machine learning fundamentals, participants gain practical experience with tools like Python, SQL, Tableau, and Power BI.

By the end of the program, students are better prepared to analyze datasets, create dashboards, solve business challenges using data, and confidently pursue careers in analytics and data science.

What You'll Learn

  • Python programming for data analysis
  • SQL for database management
  • Data visualization (Tableau, PowerBI, Matplotlib)
  • Machine learning fundamentals
  • Statistical analysis and modeling
  • End-to-end project implementation

Programme Options

Duration: Full semester (1 hour per week)

Format:

  • Weekly concepts
  • Immediate lab practice
  • Group discussions

Capstone: End-to-end data science project with real-world datasets

Projects:

  • Marketing analytics
  • Operations optimization
  • E-commerce
  • Healthcare

Batch Size:

Programme Outcomes

After completing this program, students will be able to:

  • Analyze and interpret complex datasets using Python and SQL
  • Build interactive dashboards using Tableau and Power BI
  • Apply machine learning models to solve business problems
  • Perform statistical analysis and data-driven decision-making
  • Execute end-to-end data projects from data cleaning to insights
  • Present analytical findings in a clear, business-focused manner

Ready to Dive In?

After the submission, we will reach you out and connect for a brief session.
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