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
Python is a powerful yet beginner-friendly programming language that plays a central role in data analysis. It’s widely used by analysts, data scientists, and researchers to clean, manipulate, and visualize data. Its simplicity and vast ecosystem of libraries like pandas, numpy, and matplotlib make it an ideal tool for turning raw data into insights. Whether you’re exploring trends, building reports, or making data-driven decisions, Python is a great place to start your data analysis journey.
Introduction to Python
Python is a popular and beginner-friendly programming language known for its clarity and versatility. It’s used in a wide range of fields including web development, data analysis, automation, artificial intelligence, and more. Python’s simple syntax makes it easy to learn, while its powerful libraries and frameworks make it suitable for both small scripts and large-scale applications. Whether you’re new to coding or looking to expand your skills, Python is a great language to start with.
Data Analysis with R
R is a specialized programming language focused on data analysis and statistics. It’s a powerful tool for handling, analyzing, and visualizing data, which makes it popular among researchers, data scientists, and statisticians. R includes many built-in functions and packages that simplify complex calculations. If you work with data or want to create graphs, charts, and perform advanced analysis, R is an excellent place to start.
Business Insights with Power BI
Power BI is a data analysis and visualization tool from Microsoft. It helps you turn raw data into interactive charts, dashboards, and reports that are easy to understand. Power BI is widely used in business and reporting, making it a great skill for anyone who works with data or presents information.
Data Analysis with Excel
Excel is a widely used spreadsheet tool for organizing, analyzing, and visualizing data.
It’s perfect for budgets, reports, charts, and calculations. Learning Excel gives you a strong foundation in data handling, useful in almost any job or industry.
Data Analysis with SPSS
SPSS is a popular tool for analyzing survey data and doing statistics without writing code. It’s widely used in research, especially in the social sciences, health, and education. With SPSS, you can quickly run statistical tests, create graphs, and understand patterns in your data.
SQL Database Management
SQL (Structured Query Language) is the language used to work with data in databases. It helps you find, organize, and analyze data efficiently. Whether you’re working with customer info, business records, or research data, SQL is a must-have skill for anyone handling data.
Stata for Data Analysis
Stata is a software tool used for data analysis, especially in economics, health, and social science research. It allows you to manage data, run advanced statistical tests, and generate charts. If you’re doing academic or policy-related research, Stata is a reliable and trusted choice.