Explore the world of data analysis with this course that covers statistical analysis, business intelligence, and data visualization. Learn to analyze
large datasets, identify patterns and trends, and communicate your findings using
tools like Excel, R, and Python. This course is ideal for anyone looking to work in
data-driven roles such as data analyst or business intelligence analyst.
Learn how to efficiently manipulate, analyze, and visualize data using Python and its powerful libraries such as Pandas, NumPy, Matplotlib, and Seaborn.
Develop the skills to retrieve, manipulate, and aggregate data using SQL. You’ll work with SQL Server to manage complex databases and execute advanced queries.
Discover how to perform EDA to uncover insights, identify patterns, and prepare data for further analysis through effective data visualization.
Learn to build interactive and insightful dashboards using Power BI, applying DAX for complex calculations, and integrating real-world data to produce reports.
