Your go-to resource for learning data analysis programming.

If you want to work with data, you’ve come to the right place. At Sangy Academy, we offer clear and practical data analysis tutorials for beginners that walk you through each step with real-world examples. Whether you’re exploring Python, SQL, or R, our guides are designed to help you build confidence and gain useful skills from day one.

Data Analysis with Python

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Python is a popular and simple programming language widely used for data analysis programming, website creation, and task automation. It’s easy to learn and understand, making it perfect for beginners. Python is widely used in many industries because it’s flexible and can do a lot of different things. Whether you want to build apps, work with data, or automate everyday tasks, Python is a great language to start with.

Data Analysis with R

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R is a programming specialized programming language mainly focused on data analysis and statistics. It’s a powerful tool for handling, analyzing, and visualizing data, making it popular among researchers, data scientists, and statisticians. R has many built-in functions and packages that make complex calculations easier. If you work with data and want to create charts, graphs, or perform advanced analysis, R is an excellent choice to get started with.

Business Insights with Power BI

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Develop the skills needed to confidently analyze data, build models, and create interactive reports using Power BI. This course covers key concepts in data preparation, visualization, and sharing insights across teams, with two hands-on projects that reflect real business scenarios. Ideal for those looking to apply data analysis skills in a professional setting.

Data Analysis with Excel

Microsoft Excel is a useful tool for working with data, especially for beginners. In this course, you will learn how to use Excel to clean, organize, and analyze data in a structured way. You will work with spreadsheets, apply formulas, create simple summaries, and use charts to make patterns in the data easier to understand. Each lesson builds on the previous one, so you can follow along at your own pace. The goal is to help you become comfortable using Excel to make sense of information and support everyday decisions.