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Data and Business Intelligence

Courses for analyst roles across IT, BFSI, consulting and operations: Python for data, business analytics and data science foundations. 4 courses

Data and business intelligence skills are a priority across sectors, not only in IT. This collection builds the core analyst toolkit: working with data in Python, analysing business problems, and presenting findings clearly.

Who this is for

Students from any degree aiming for data analyst, business analyst, MIS or reporting roles, including non CS graduates who are comfortable with numbers.

How to use this collection

  1. Begin with Data Analytics with Python at beginner level.
  2. Take Business Analytics next to learn how to frame business questions.
  3. Build a dashboard or SQL case study after each course to show proof of work.

Free resources to start with

Research note: the TeamLease EdTech Career Outlook report for the first half of 2026 found employers moving to skills first hiring, with proof of work such as projects and portfolios valued over resumes alone.

Courses in this collection

  • Data Analytics with Python: Beginner

    Go from zero to your first data driven report: Python, SQL, statistics, dashboards, and a Generative AI powered reporting feature.

    CourseFee by email
    • Beginner
    • 8 weeks
  • Business Analytics: Beginner

    Go from zero to your first business decision backed by data: Excel, SQL, statistics, dashboards, and a live boardroom presentation.

    CourseFee by email
    • Beginner
    • 8 weeks
  • Data Science: Beginner

    Go from zero to your first data driven insight: Python, SQL, statistics, dashboards, and a Generative AI powered reporting feature.

    CourseFee by email
    • Beginner
    • 8 weeks
  • Data Analytics with Python: Intermediate

    Go from analyst to insight driven professional: advanced SQL, experimentation, cohort and forecasting analysis, and Generative AI over business data.

    CourseFee by email
    • Intermediate
    • 8 weeks
  • AI and Automation Skills

    A guided set of courses for students who want to work with AI: foundations, machine learning and applied AI, in a sensible order.

    4 courses

  • Cloud, DevOps and Security

    A set of courses for the infrastructure side of tech: cloud computing, DevOps practices and cybersecurity foundations.

    4 courses

  • Software Development Starter

    The core programming courses most fresher coding rounds expect: Python, Java, web development and full stack with DSA.

    4 courses

Not sure where to start?

Take the free aptitude test, or look through every course in the catalogue.