Data Science and Analytics Foundations

In a world driven by information, the ability to interpret and manipulate data is one of the most valuable skills you can possess. This course provides a clear path into the field of data science, starting with core concepts and moving through practical application. You will progress from understanding basic statistics to performing complex data manipulations and building predictive models. Through written explanations and code-based exercises, you will learn to handle real-world datasets and communicate your findings effectively. What you'll learn: Understand fundamental data science terminology and the standard analytical workflow; Apply Python for data manipulation using modern libraries like Pandas and Polars; Perform exploratory data analysis to identify patterns, trends, and outliers; Master data cleaning techniques to ensure the quality and reliability of your results; Build and evaluate basic machine learning models for classification and regression; Practice basic MLOps principles to manage and track your analytical experiments. The course begins with foundational definitions and statistical basics before moving into hands-on data processing, visualization principles, and an introduction to predictive modeling. This program is designed for absolute beginners with no prior experience in programming or statistics. Start your journey into the world of data today.