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

M.Tech in Hydroinformatics Engineering at NIT Agartala: Building the Next Generation of Water Intelligence Specialists

Why Hydroinformatics — and Why Now India is facing a water crisis of compounding proportions. Erratic monsoons, receding groundwater tables, increasingly severe floods, and the pressures of rapid urbanisation have made water resource management one of the most urgent engineering challenges of our time. At the same time, the arrival of machine learning, big data, IoT sensor networks, and geospatial intelligence has created an entirely new toolkit for tackling these problems — if only enough engineers know how to use it. That is the promise of Hydroinformatics Engineering: a discipline that fuses hydrological science with the power of modern computation, data science, and artificial intelligence to model, predict, and manage water systems with a precision that was simply not possible a decade ago. NIT Agartala, an Institute of National Importance under the Government of India, has launched a 2-year full-time M.Tech programme in Hydroinformatics Engineering to train exactly these speciali...
Read more

“Lighting the Countryside: A Review of Electricity for the Farm”

“Lighting the Countryside: A Review of Electricity for the Farm” is a clear, engaging reflection on how a 1915 manual about farm electrification still speaks to today’s distributed energy and rural development debates. hydrogeek.substack +1 Core focus of the review The review introduces Frederick Irving Anderson’s “Electricity for the Farm: Light, Heat and Power by Inexpensive Methods from the Water Wheel or Farm Engine” as a practical, narrative-style manual aimed at early‑20th‑century farmers with curiosity but little formal training. hydrogeek.substack +1 It highlights how the book shows farmers using small streams or farm engines to generate electricity for lighting, heating, and power, replacing smoky lamps and manual drudgery with safer, cleaner energy services. hydrogeek.substack +1 Strengths highlighted The review praises the structure : an opening narrative centered on “Perkins” and his neighbor demonstrates, almost like a case study, how an idle water wheel becomes a 24‑hour ...
Read more

Call for Submissions to Publish in Conservation Geek

I invite all my subscribers, readers, and visitors to submit an article for publication(if selected after review) in the latest edition of Conservation Geek. The first edition has already been published; you can find a screenshot at the beginning of this post. We plan to publish four editions per year, so we are now looking for new articles, case studies, technical notes, reviews, “news and views”, etc from the relevant domain that comes under “Water, Energy or Both Conservation”. If you want to submit an article, please leave a comment on this post or email me at editor.at.baipatra.ws. We will review it and publish it if it is selected. Relevant topics of the article will be but not limited to : 1)Water Conservation 2)Energy Conservation 3)Water-Energy Nexus 4)Water-Energy-Food Nexus 5)Green Economy 6)Carbon Credits and Carbon Economy 7)Circular Economy 8)Desertification 9)Conservation Policies 10)Climate Change 11)Conservation Strategies involving the use of data science, AI, ML and ...
Read more