The Data Analytics course at EmbodiLearn is designed for beginners, providing a solid foundation and equipping students with advanced skills for a successful career in the job market. The curriculum starts with essential concepts and types of analytics—descriptive, diagnostic, predictive, and prescriptive—highlighting the role of data in business decision-making.

As participants progress, they will engage with the data lifecycle, focusing on collection, cleaning, and preparation using tools like Microsoft Excel, Python, and R. They will also delve into statistical analysis and hypothesis testing, preparing them for advanced topics such as data visualization and machine learning.

The course concludes with a capstone project where learners analyze a dataset, derive insights, and present findings using visualization tools like Tableau and Power BI. Collaborative learning and peer feedback will enhance their experience, ensuring they graduate with the knowledge and skills necessary to thrive in the competitive data analytics job market.