Statistics

In today's data-driven world, data scientists must master a wide range of statistical techniques to extract valuable insights from complex data sets. This comprehensive course equips you with essential skills to visualize and compare quantitative data, summarize and analyze categorical data, model data distributions, and make predictions. Learn to identify patterns, apply hypothesis testing, perform regression analysis, handle missing data, and work with big data and distributed computing. The course also covers integrating machine learning and deep learning techniques, communicating insights with data visualization and storytelling, designing experiments, analyzing data with PCA and factor analysis, and forecasting with ARIMA models. Gain hands-on experience with R, Python, Excel, SAS, and BI tools like Tableau and Power BI. By the end, you'll be ready to tackle complex data analysis challenges and make data- driven decisions that drive business success.