Learn the fundamentals of business analytics and master Excel tools like conditional formatting, essential functions, and pivot tables. Perform statistical data analysis, create insightful dashboards, and get introduced to Power BI for powerful data visualization.

Build strong SQL skills with core statements, filtering, ordering, aliases, and joins. Learn subqueries, views, indexes, and key functions for strings, math, and dates. Explore pattern matching, user access control, and database backup to manage data effectively.

Master ETL fundamentals, from data extraction and transformation to loading and mapping. Learn key tools, handle batch and real-time ETL, manage errors, optimize performance, automate workflows, and ensure smooth operations with effective monitoring and maintenance.

Learn data visualization with Tableau—organize data, create charts and dashboards, and use filters, parameters, and sets. Explore visual tools like heat maps, treemaps, and Pareto charts, and design interactive dashboards for impactful data storytelling.

Get started with Python by learning programming basics, data types, operators, conditional statements, loops, and functions. Build a strong foundation to write clear, efficient, and logical code for various applications.

Explore Python for data analytics using key packages. Work with categorical and text data, apply statistical functions, perform hypothesis testing, conduct explorative data analysis (EDA), and visualize insights effectively

Explore the basics of ML and Generative AI, including supervised, unsupervised, and reinforcement learning. Explore LLMs, chatbots, image/video generation tools, open-source AI models, and master prompt engineering for text and visuals using real-world platforms

Discover how Generative AI enhances data analytics through data augmentation, tailored visualizations, and AI-optimized ETL. Explore its role in data exploration, modeling, and forecasting, along with integration challenges and future advancements.

Understand data ethics, covering legal frameworks, privacy, and security. Learn to identify bias, make ethical decisions, visualize data responsibly, and explore the broader societal impact of data analytics.

After completing the DA and GenAI courses, you undertake a capstone project to put your new skills into action. With mentor support, you utilize Excel, Python, SQL, Tableau, and other tools to address real-world data challenges. This culminating project represents the pinnacle of your training and offers a chance to demonstrate your expertise to potential employers in a practical context.