Introduction to Data Analytics
By External Provider
About this course
Welcome to Introduction to Data Analytics! This course will guide you through the essential techniques for working with data, equipping you with skills used by data experts across industries. You’ll explore how to clean and preprocess data using Python libraries like Pandas and NumPy, laying the groundwork for effective data analysis. We’ll dive into exploratory data analysis (EDA), where you’ll uncover hidden patterns and insights. You’ll also be introduced to key machine learning algorithms for predicting outcomes and solving real-world problems. Along the way, we’ll cover best practices for evaluating your models and ensuring their reliability. The course also includes hands-on projects to solidify your learning and practical exercises to apply your skills. By the end, you’ll have a robust toolkit for approaching data-driven challenges confidently, whether you're advancing your career or tackling new opportunities in the data field. Join us on this learning journey!
What you will learn
- Apply data preprocessing techniques using Python libraries like Pandas and NumPy to clean, transform, and prepare datasets for analysis.
- Use EDA and ML algorithms to identify patterns, trends & solve real-world data problems through regression, classification and clustering techniques.
- Evaluate model performance using appropriate metrics and visualise insights through data visualisation tools to effectively communicate findings.