Schedule
Asynchronous
Delivery method
Online
0 credit hours
Credits awarded upon completion
Self-Paced
Progress at your own speed
40 hours
Estimated learning time
Data Visualization and Statistical Analysis (NCLab): This online, self-paced, learn-by-doing course equips Learners with the skills to interpret, visualize, and analyze data using charts, spreadsheets, and statistical methods. Learners begin by classifying data types and learning visualization techniques using bar charts, line charts, histograms, geo charts, and more—including advanced formats like treemaps, Gantt charts, radar, and candlestick charts. They then explore statistical analysis through hands-on spreadsheet work, gaining confidence with linear, multiple, and logistic regression, hypothesis testing, and understanding data distributions. Topics include correlation, skewness, kurtosis, confidence intervals, ANOVA, and Chi-squared testing. Learners also apply critical thinking to identify causal relationships, interpret trendlines, and make data-driven predictions across business and research contexts.
Schedule
Asynchronous
Delivery method
Online
Earn necessary number of credit hours for completing this content
Data Visualization and Statistical Analysis Completion Certificate.
Have the knowledge and skills to work with Foundations of Data Types and Sources; Visualizing and Communicating Data Effectively; Statistical Measures and Data Distribution; Probability Theory and Distributions; Correlation and Regression Analysis; Advanced Chart Customization and Interpretation; Cluster Analysis and Pattern Recognition.
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