This course is free and aims to provide you with the necessary skills in capturing and processing data to analyze. In the beginning we'll explore Data Collection, where you'll be taught about the various types of data techniques, methods and tools that are used to collect data. We'll focus on the importance of ethics and the best practices for the data collection is ethically handled. Moving on to Data Preprocessing You'll learn techniques to handle data prior to analysis. We'll discuss univariate data summaries and feature engineering, as well as transform, scaling of variables, as well as missing value treatments. In addition, we'll cover bivariate correlation tests for data and outlier detection and treatment. To increase your understanding we'll explore the manipulation of text data and encode categorical variables. Through practical exercises you'll develop proficiency in dealing with numerical, categorical and string data. At the end of this course you'll have an established foundation in data collection and preprocessing which will enable you to make educated decisions and gain valuable insights from a variety of data sources. Join us today and begin on the path to becoming a data expert.
