Upon completing the Specialization, you will be able to analyze and manipulate data using Python, SQL, and Power BI, create data visualizations, build predictive models, and develop interactive dashboards to derive actionable insights for real-world business challenges.

Upon completing the Applied Data Analytics Specialization, you can pursue careers such as Data Analyst, Business Analyst or Data Scientist. The skills gained in Python, SQL, Power BI, and predictive modeling also prepare you for roles in business analytics, data-driven decision-making, and reporting across industries like finance, marketing, and operations.

This specialization focuses on applied data analytics, emphasizing practical skills in Python, SQL, and Power BI for data manipulation, visualization, and actionable insights. While data science specializations often dive deeper into machine learning, algorithms, and theoretical concepts, this program prioritizes hands-on data analysis, visualization, and business intelligence for real-world applications, making it more business-focused and accessible for intermediate learners.

Yes, the specialization covers both technical skills (e.g., Python programming, SQL queries, Power BI, and predictive modeling) and business-focused skills (e.g., creating dashboards, data storytelling, and data-driven decision-making). You’ll learn to analyze data technically while also presenting insights in a way that supports business strategies and decision-making.

Both Python and SQL are equally important and complementary in this specialization. Python is used for data analysis, visualization (with libraries like Pandas, Matplotlib, and Seaborn), and predictive modeling, while SQL is critical for querying and managing data in relational databases. The courses integrate both to ensure you can handle diverse data tasks effectively.

Yes, the specialization includes in-depth training on Power BI for creating interactive dashboards and advanced visualizations using DAX and Power BI Service features.

This course is completely online, so there’s no need to show up to a classroom in person. You can access your lectures, readings and assignments anytime and anywhere via the web or your mobile device.

If you subscribed, you get a 7-day free trial during which you can cancel at no penalty. After that, we don’t give refunds, but you can cancel your subscription at any time. See our full refund policy.

Yes! To get started, click the course card that interests you and enroll. You can enroll and complete the course to earn a shareable certificate. When you subscribe to a course that is part of a Specialization, you’re automatically subscribed to the full Specialization. Visit your learner dashboard to track your progress.

Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.