This free course aims to equip you with essential skills in collecting and processing data for analysis. In the first part, we'll delve into Data Collection, where you'll learn about different data types, methods, and tools used to gather data. We'll emphasize ethics and best practices to ensure responsible data collection. Moving on to Data Preprocessing, you'll discover techniques for handling data before analysis. We'll cover univariate data summaries, feature engineering, variable scaling, transformation, and missing value treatment. Additionally, you'll explore bivariate data correlation checks and outlier identification and treatment.   To enhance your understanding, we'll dive into text data manipulation and encoding categorical variables. Through hands-on exercises, you'll gain proficiency in handling numerical, categorical, and string data. By the end of this course, you'll have a solid foundation in data gathering and preprocessing, empowering you to make informed decisions and extract valuable insights from diverse datasets. Join us now and embark on your journey towards becoming a skilled data professional.  

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