Data Science and Machine Learning Fundamentals

Data science allows us to make data-driven insights. In this Data Science Fundamentals course, we will give you an overview of why data science and how it is used in the business and finance world. We will go through the data science cycle of how to build machine learning models to make predictions. First, we will discuss exploratory data analysis, feature selection, feature engineering, and other common methods to understand and prepare the data for analysis. Then we will explore a few different algorithms used for both unsupervised and supervised machine learning models. We will also discuss how to use validation/resampling techniques to train and test the data. Finally, we will explore evaluation techniques to assess the model’s performance and improve the model based on the evaluation results. We will demonstrate the data science cycle using a real-life scenario.