Master Excel for data analysis with formulas, tables, charts, and statistical concepts like mean, variance, and correlation. Learn data cleaning, Power Query, Pivot Tables, and real-world applications in sales and finance analytics.

Transform raw data into powerful insights using Power BI. Learn data modeling, Power Query, DAX calculations, and interactive dashboards. Work on real-world projects in finance, sales, and supply chain analytics.

Learn SQL for data retrieval, joins, subqueries, and database management. Work with finance and supply chain analytics, optimize queries, and build real-world projects for business decision-making.

Master Python fundamentals, data analysis with Pandas & NumPy, visualization with Matplotlib & Seaborn, and backend development with FastAPI. Work on real-world projects, including an expense tracking system and automation tasks.

Develop data visualization skills with Tableau. Learn data modeling, transformations, interactive dashboards, and advanced LOD expressions. Work on real-world projects in banking and profit analysis.

Understand machine learning concepts, AI project lifecycles, and data-driven decision-making. Learn AI-powered data transformation, model evaluation, and how AI enhances job search and stakeholder communication.

Optimize your LinkedIn profile, engage with industry leaders, create impactful posts, and build an online personal brand to enhance career opportunities.

Learn smart job application strategies, explore top hiring platforms, and apply job hunt hacks like connecting with hiring managers for better career opportunities.

Prepare for data analyst interviews with mock sessions, technical SQL, Excel, Power BI questions, scenario-based problem-solving, and behavioral interview strategies.