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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 Algorithms
Quick Propagation
Conjugate Gradient Descent
Newtons Method
Quasi Newton
Levenberg Marquardt
Advanced ANN
Polynomial Neural Networks
Group Method of Data Handling
Testing ANN Performance
ERROR IDENTIFICATION METRICS
REGRESSION ERROR
CLASSIFICATION ERROR
CORRELATION IDENTIFICATION METRICS
EFFICIENCY IDENTIFICATION METRICS
Applications in Case Studies
Example Application in Water Resource Development
Software
No Code Software for ANN Application
Multi-criteria Decision Making Methods(MCDM)
Basics of MCDM
What is MCDM?
Working Principle of MCDM
Compensatory MCDM Methods
Tutorial on Analytical Hierarchy Process
Tutorial on Analytical Network Process
Tutorial on Multi-Attribute Utility Theory
Tutorial on EVAMIX
Outranking MCDM Methods
Tutorial on ELECTRE I
Tutorial on PROMETHEE I and II
Applications in Case Studies
Applications of MCDM in Water Resource Development
More Applications
Optimization Technique
Fundamentals
Fundamentals of Optimization Technique
Constraints
Classification of Optimization Techniques
Classical Optimization Techniques
Linear Programming
Dynamic Programming
Quadratic Programme
KKT Conditions
Dynamic Programming
Recursive Equation
Nature-Inspired Optimization Techniques
Particle Swarm Optimization
Ant Colony Optimization
Genetic Algorithm
Glowworm Optimization
FireFly Optimization
Mine Burst Optimization
Duration: One year and more if required
Scope of Publication: Yes
Each material will also have practice problems, real-life case study descriptions and project ideas for doing research.