Introduction to Data

This course introduces Data Analysis using Python, MySQL, NumPy, and Pandas. It provides a practical foundation for understanding how to collect, clean, explore, analyze, and interpret data. Learners will go through the full data analysis workflow, from posing a question to communicating insights and making data-driven decisions using real datasets and hands-on exercises.

• Learn how to define and structure data analysis questions
• Understand how to clean, prepare, and wrangle raw data into usable formats
• Develop skills to explore datasets and identify meaningful patterns
• Perform statistical analysis to support insights and predictions
• Build visual understanding of data using charts and plots
• Communicate findings effectively for business or technical audiences
• Gain hands-on experience with Python, NumPy, Pandas, and MySQL for data analysis tasks

• Beginners and professionals interested in starting a career in data analysis
• Data analysts who want to strengthen their skills in Python-based data analysis tools
• Students and graduates in computer science, business, or related fields
• Business professionals who need to analyze and interpret data for decision-making
• Developers and engineers who want to transition into data analysis roles
• Anyone interested in learning how to work with data using Python, NumPy, Pandas, and MySQL