Sophia Learning's Business Data Analytics course equips students with essential business data analytics skills, from foundational concepts to advanced statistical and machine learning techniques. It covers data types, collection methods, and ethical considerations, along with data cleaning, summarization, and visualization using Excel and Python. Students will apply descriptive statistics, probability, and hypothesis testing to extract insights and use regression analysis to assess variable relationships. They will also learn forecasting methods such as moving averages and exponential smoothing to predict business trends.Advanced topics include machine learning models, and Monte Carlo simulations for evaluating risk and uncertainty. The course concludes with optimization models and prescriptive analytics, teaching students to develop linear, integer, and nonlinear optimization solutions for business challenges. By the end, students will have the analytical mindset and practical experience to leverage data for strategic decision-making.
