Full Stack Data Analytics Course

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Last Updated : April 16, 2025

The Full Stack Data Analytics course equips learners with the skills to collect, process, analyze, and visualize data. This course will help you build a strong foundation in data wrangling, SQL, data visualization, and business analytics tools, such as Power BI and Tableau, while also exploring more advanced concepts like predictive analytics and data modeling.

 

What you will learn?

There are no items in the curriculum yet.

Requirements

  • Gain proficiency in Power BI, Tableau, and Excel for business reporting.
  • Communicate data insights to stakeholders through clear visualizations.
  • Master data collection, cleaning, and transformation techniques.
  • Learn to query databases with SQL and integrate with data visualization tools.
  • Develop an understanding of statistical analysis and predictive modeling.

Features

  • Exposure to BI tools and machine learning for analytics.
  • A final analytics project that covers end-to-end analysis.
  • Hands-on labs and case studies based on real business scenarios.
  • Learn advanced data visualization techniques for actionable insights.
  • Interactive quizzes and projects for skill reinforcement.

Target audiences

  • Corporate professionals looking to incorporate data-driven decision-making.
  • Students from fields such as data science, business analytics, and engineering.
  • Aspiring Data Analysts wanting to learn all aspects of the data lifecycle.
  • Business Analysts who want to expand their technical expertise.