Skip to main content

Self Paced Certificate Course on Data Science





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.




You may also like : HydroGeek: The newsletter for researchers of water resources https://hydrogeek.substack.com/ Baipatra VSC: Enroll for online courses for Free http://baipatra.ws Energy in Style: Participate in Online Internships for Free http://energyinstyle.website Innovate S: Online Shop for Water Researchers https://baipatra.stores.instamojo.com/ Call for Paper: International Journal of HydroClimatic Engineering http://energyinstyle.website/journals/ Hydro Geek Newsletter Edition 2023.1 https://notionpress.com/read/hydro-geek-newsletter-edition-2023-1 Introduction to Model Development for Prediction, Simulation, and Optimization. https://imojo.in/1DJDUzm
Labels:

Popular posts from this blog

Five open source free hydrologic models that you can use to model runoff of micro to macro watersheds

The principal objective of hydrologic models is to forecast the runoff of a surface water body, especially dendritic systems like rivers, streams, etc. The inputs to these models are generally Rainfall/Precipitation, Soil Characteristics, and other Climatic parameters like evapotranspiration, humidity, etc. LULC and geo-morphology are also used as the required input parameters of the hydrologic models. Both input and output of these models are temporally as well as spatially variable. Now the resolution varies with different models. Some models consider all the sub-basins to be a single watershed and determine the output based on the characteristics of this single watershed(lumped).In contrast, some other models will consider the {impact|effect} of each of the sub-basins on the central outflow of the watershed(distributed).In a few models, the entire watershed is divided into grids or units of uniform dimension. However, the accuracy is highest for the models, which considers the {impa...
Read more

Internship Opportunity at NIT Agartala - "Game theory meets flood resilience: play smart, protect lives."

This internship offers a unique opportunity to apply game theory to real-world flood resilience , equipping participants with strategic decision-making skills that go beyond traditional hydrological modeling. Interns will: ✅ Gain hands-on experience in stakeholder analysis and strategic modeling. ✅ Develop decision-support frameworks that balance cost, risk, and social feasibility. ✅ Work on case studies to bridge theory with practical flood mitigation strategies. ✅ Enhance interdisciplinary expertise , combining hydrology, economics, and policy dynamics. ✅ Build problem-solving skills that can shape future disaster resilience planning. By the end of the program, interns will have a deeper understanding of flood management complexities and a powerful toolkit for strategic problem-solving —essential for careers in hydroinformatics, environmental policy, and infrastructure planning. 🌊🎲 https://www.facebook.com/share/v/1QK714yR1u/ You may also like : HydroGeek: The newsletter ...
Read more

Five examples of Water Collected from Air

Video Link :  https://youtu.be/AVQJCH-6psg Water from Air is a new concept for the conservation of water by adopting a source that is uncommon and renewable. The most abundant source of freshwater is the Earth’s atmosphere. When atmospheric humidity condenses, it falls as rain. This natural process of condensation is replicated by adopting different technologies, which allows it to make water continuously, even in low humidity conditions. Here are the examples : 1) Airowater Dewpoint Smart "The Airowater Dewpoint Smart is one of the smaller units designed to ensure portability. This unit can make up to 20 litres per day in relative humidity and is also equipped to use city water as the input source to deal with a sudden increase in demand!" 2) Rainmaker "Rainmaker’s Air-to-Water units produce drinking water from the air – no other water source is required. " It uses a turbine that forces air through a heat exchanger, where the air is cooled and condensation takes pl...
Read more