Data science is a rapidly evolving field that plays a crucial role in various industries. It is essential for professionals to stay updated on the latest trends and technologies to harness the full potential of data science in their work. Find below the topics that are included in this self-paced certificate course: Statistical Techniques : Outlier Detection: Chauvenet Method Dixon Thompson Method Rosner's Method Ten Most Recognizable Case Studies of Using Outlier Detection for Model Development Trend Detection What is a Trend and How do you detect a trend in a set of data? Runs Test Correlation Determination Auto and Cross-Correlation Risk and Uncertainty What is Risk and Vulnerability? Weibull’s Method Numerical Analysis Uncertainty Analysis Linear Regression Non-Linear Regression Artificial Intelligence Fundamentals What is Artificial Neural Network(ANN)? Parameter Estimation Training Algorithms Testing of the Network Validation of the Networks Example Problems Training Algorith
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