What Will You Learn?

✅ Introduction to Data Analysis – Understanding data types, structures, and the role of a data analyst.
✅ Data Collection & Cleaning – Learn how to gather, filter, and clean raw data to ensure accuracy.
✅ Excel & Google Sheets for Data Analysis – Master essential functions, pivot tables, and automation techniques.
✅ SQL for Data Analysis – Learn how to write queries, retrieve data from databases, and perform complex analysis.
✅ Data Visualization – Creating impactful charts, graphs, and dashboards using Power BI, Tableau, and Python (Matplotlib & Seaborn).
✅ Exploratory Data Analysis (EDA) – Identifying patterns, trends, and outliers in datasets.
✅ Statistics & Data Interpretation – Understanding descriptive and inferential statistics for decision-making.
✅ Python for Data Analysis – Introduction to Pandas, NumPy, and data manipulation techniques.
✅ Machine Learning Basics – Introduction to predictive modeling and data-driven decision-making.
✅ Real-World Data Projects – Hands-on case studies and practical projects to apply your learning.

About This Course

This course is designed to help beginners and professionals develop essential data analysis skills using industry-standard tools and techniques. You’ll learn how to collect, clean, analyze, and visualize data to make informed business decisions. Whether you're working with spreadsheets, SQL databases, or data visualization tools, this course will equip you with the knowledge to extract insights, identify trends, and present data effectively.