Essential Business Analytics

IN THIS COURSE

• 1.  Essential Business Analytics
  1m 35s
  Understanding how to analyze and interpret data is crucial for supporting digital transformation initiatives. In this video, you'll be introduced to the key concepts that will be covered in this course. FREE ACCESS
• 2.  Understanding Distribution
  6m 48s
  Understanding data distribution is vital for interpreting data patterns and making accurate predictions essential for digital transformation. In this video, you'll learn how to distinguish between measures of central tendency and explore different types of data distributions. You'll also discover the importance of distributions in analyzing data and making predictions. FREE ACCESS
• 3.  Understanding Deviation
  3m 9s
  Measuring variability within a dataset is crucial for accurate data analysis and decision-making. In this video, you'll learn about the concept of deviation, including the differences between standard deviation and variance and how they're calculated. You'll also explore how understanding deviation can inform your data analysis and interpretation, supporting your organization's digital transformation efforts. FREE ACCESS
• 4.  Understanding Correlation
  4m 13s
  Recognizing relationships between data variables is key to informed decision-making. In this video, you'll learn about different types of data correlation and how to distinguish between positive, negative, and zero correlation. You'll also discover how to calculate and interpret correlation coefficients while understanding the limitations of correlation analysis and avoiding the pitfall of inferring causation from correlation. FREE ACCESS
• 5.  Understanding Regression
  4m 40s
  Predicting outcomes based on data is a cornerstone of digital transformation. In this video, you'll learn about the purpose of regression analysis and how to distinguish between simple and multiple regression models. You'll also learn how to interpret regression coefficients and assess a model's fit using R-squared and residual analysis. FREE ACCESS
• 6.  Understanding Clustering
  5m 16s
  Grouping similar data points is essential for uncovering patterns and insights in data. In this video, you'll learn about the goals and applications of clustering in data analysis. You'll explore different clustering methods, such as K-means and hierarchical clustering. Additionally, you'll discover how to evaluate clustering results and interpret cluster characteristics to derive actionable insights that drive digital transformation. FREE ACCESS
• 7.  Course Summary
  1m 36s
  In this video, you'll review and reflect on what you've learned in the course Basic Analytical Methods. FREE ACCESS