No prior programming experience is required. The course teaches Python and SQL fundamentals from scratch. However, basic familiarity with spreadsheets and general business concepts will help you progress more quickly through the early modules.

The 12-week curriculum covers Power BI (data extraction, Power Query transformations, data modeling, DAX calculations, visualization, and publishing), Python (Pandas, data manipulation, statistical analysis, regression, forecasting), and SQL (queries, joins, subqueries, database design, and optimization). You'll also learn business intelligence architecture, advanced analytics, and data storytelling.

You should plan for approximately 10-15 hours per week, which includes video lectures, hands-on labs, practice exercises, and project work. The 12-week structure allows you to progressively build skills across Power BI, Python, and SQL without being overwhelming.

You will complete three industry-relevant capstone projects spanning retail analytics, workforce analytics, and financial reporting. Throughout the course, you'll also work on weekly hands-on labs including building Power BI dashboards, writing SQL queries against real databases, and performing data analysis with Python and Pandas.

Graduates will be prepared for roles such as Data Analyst, Business Intelligence Analyst, Analytics Consultant, and Data Engineer. The combination of Power BI, Python, and SQL skills is among the most in-demand in the analytics job market, and the portfolio of projects you build will demonstrate practical, job-ready capabilities to employers.

You will work extensively with Power BI Desktop and Power BI Service for business intelligence and visualization, Python with libraries like Pandas and Matplotlib for data analysis, and SQL Server for database querying and management. You'll also use Power Query for data transformation and Jupyter Notebooks for Python-based analytics.

The Micro Degree course is an online LIVE course, where LIVE sessions will be conducted online on our Classroom platform. Prior to the start of the course, you'll receive preparatory material in the form of recorded content which can be access on the same platform.

In this course instructors will use English language for teaching.

Upon successful registration, you will receive a confirmation email on your registered email ID. In this email you will receive login details for your newly created account on the Edyoda Classroom platform (https://classroom.edyoda.com). Additionally, you will receive a PDF guide containing step-by-step instructions on how to utilize the platform to access live sessions and learning materials.

Our instructors are the industry experts with a minimum working experience of 10 years with a strong technical and teaching background. They bring industry knowledge and practical expertise to the course.

Yes, the course includes online assignments, quizzes, and a final project to reinforce your learning and assess your proficiency in Data Analytics.

Yes, you can interact with instructors and fellow students through discussion forums, live Q&A sessions. We encourage a supportive learning community.

We offer a 100% money-back guarantee to ensure your complete satisfaction. If you're not satisfied, you can request a full refund within 3 days of purchase or before the second session, whichever comes earlier. Simply contact our support team(support@edyoda.com) with your purchase details, such as the order ID or email address, and share your reason for the refund. Requests made after 3 days or after the second session will not be eligible for a refund. There are no hidden charges, you will receive the full amount paid. Refunds are processed within 7–10 business days and credited back to your original payment method.