Description:

In this course, students will explore how to apply data analytics techniques to real-world financial scenarios. You will learn how to analyze financial data, build predictive models, and make data driven decisions that enhance business performance. Through hands-on case studies, you will gain proficiency in using tools like Microsoft Power BI and Python to derive actionable insights, forecast financial outcomes and optimize business strategies. This course is ideal for those seeking to bridge the gap between finance and data analytics.

Key Highlights:

• Data Analytics & Data Management
• Descriptive Statistics and Exploratory Data Analysis (EDA)
• Data Visualization
• Case Studies and Real-world Applications