Foundations of Data Analysis: From Excel to Python

Ready to start a career in data analysis but not sure where to begin? This course provides a practical introduction, starting with the familiar interface of Excel before moving to the power of Python for more complex tasks. Upon completion, you will have a solid foundation in core data analysis principles. You'll be able to confidently use Excel for quick data manipulation and then apply more advanced techniques using Python to handle larger datasets, automate tasks, and uncover meaningful insights. What you'll learn: - Master essential Excel functions, PivotTables, and charts for foundational data analysis. - Understand core Python programming concepts for data manipulation, including variables, data structures, and control flow. - Learn to use key Python libraries like Pandas for data cleaning and transformation, and Matplotlib for creating visualizations. - Apply data cleaning techniques to prepare messy, real-world datasets for analysis in both Excel and Python. - Practice fundamental statistical analysis and data aggregation to uncover patterns and trends. - Build structured analysis projects, moving from initial questions to final conclusions in a clear, repeatable way. The course begins with key terminology and concepts, then guides you through practical exercises in Excel. From there, you'll transition to Python, learning its syntax and applying it to common data analysis workflows. This course is designed for absolute beginners. No prior experience in data analysis or programming is required. Start your journey into the world of data analysis today.