Data Analysis

What will you learn

Data analytics fundamentals and the analytics lifecycle Data collection, cleaning, and preparation techniques Advanced Microsoft Excel for data analysis SQL for querying and managing relational databases Python programming for data analysis using Pandas and NumPy Data visualization with Power BI Creating interactive dashboards and reports Exploratory Data Analysis (EDA) Basic statistics for data-driven decision making Identifying trends, patterns, and business insights Working with real-world datasets Presenting analytical findings effectively Best practices for data quality and governance Building a professional data analytics portfolio

About Programme

Data is one of the most valuable assets in today's business world, and organizations rely on skilled data analysts to transform raw information into meaningful insights. This comprehensive Data Analytics course is designed to teach you the complete data analysis workflow, from collecting and cleaning data to analyzing trends and presenting results through interactive dashboards. Throughout the course, you'll gain hands-on experience with popular analytical tools including Microsoft Excel, SQL, Python, and Power BI. You'll learn how to query databases, manipulate datasets, perform statistical analysis, create compelling visualizations, and communicate findings effectively to stakeholders. The curriculum emphasizes practical learning with real-world datasets and projects, helping you build a professional portfolio while developing problem-solving and analytical thinking skills. By the end of the course, you'll be able to make data-driven decisions, automate repetitive tasks, and confidently work with large datasets in various industries. Whether you're starting your career, transitioning into tech, or enhancing your current role, this course provides the technical knowledge and practical experience needed to succeed in the growing field of data analytics.

Instructors