If you’re starting your journey in data or transitioning into analytics, this course, Data Science & Analytics Mastery, will equip you with all the essential skills to extract insights, build models, and make data-driven decisions using industry-standard tools.

First, you’ll build a strong foundation in Python and SQL – mastering data handling, analysis, and querying. Then, you’ll move into business intelligence with Power BI and Excel, learning how to create impactful dashboards and reports. Finally, you’ll explore machine learning, working on real datasets to solve real-world problems with the help of expert mentors.

When you finish this course, you’ll be ready to take on roles in data analytics, business intelligence, or data science – with projects to prove your skills.

What you’ll learn:

• Analyze data using Python – covering data structures, Pandas, NumPy, Matplotlib, Seaborn, and EDA techniques

• Master SQL for data querying, joins, subqueries, aggregations, and complex filters

• Build interactive dashboards and reports with Power BI and Advanced Excel

• Understand statistics, data visualization, and data storytelling for business impact

• Explore machine learning techniques using Scikit-learn (regression, classification, clustering, model evaluation)

• Get hands-on with real-life datasets and client use cases

• Learn to clean, transform, and visualize data for actionable insights

• Implement data pipelines and build complete end-to-end analytical workflows

• Collaborate using Git & GitHub for version control

• Gain exposure to deployment and real-world project delivery under expert guidance