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EDUCBA
By the end of this course, learners will be able to analyze Cassandra collection data types, apply Lists, Sets, and Maps effectively, and design performant NoSQL data models using best practices.

EDUCBA
Learners will apply intermediate-level API testing techniques, evaluate REST and SOAP web services, implement data-driven testing strategies, and automate API test execution using industry-standard tools.

University of Michigan
Learn to apply unsupervised learning algorithms to analyze unlabeled data. Practice dimensionality reduction, clustering, topic modeling, and handling missing data using Python.

University of Colorado Boulder
Explore engineering and scientific techniques for assessing environmental impacts of products and processes, focusing on renewable energy technologies and their economics.

DeepLearning.AI
This course covers fundamental statistical concepts, analyses, and visualizations essential for a data analyst career. Ideal for beginners and those refreshing their skills.

University of Maryland, College Park
Gain a strong foundation in Agile principles and Scrum practices, the most widely used Agile framework across diverse industries today.

University of Maryland, College Park
Public Health Informatics is essential for informed decision-making by public health leaders. This course covers key principles, tools, data sources, and policy issues relevant to public health leadership.

LearnQuest
Hands-on frameworks for selecting, implementing, and tracking AI-driven business process improvements using no-code AI platforms.

Northeastern University
Advanced course for building and deploying NLP systems using recurrent neural networks, transformers, and practical frameworks like PyTorch and Hugging Face.

Northeastern University
Introduction to fundamental NLP tasks in engineering, including text classification, entity recognition, and neural machine translation methods.

University of London
Covers essential algebra, vectors, combinatorics, probability, and statistics for computing to solve complex computational problems.

Coursera
Beginner course teaching monitoring skills for production ML systems using AI-powered AppDynamics platform to capture performance and business metrics.

Korea Advanced Institute of Science and Technology(KAIST)
Covers fundamental calculus, power series, and differential equations for materials science and engineering students to build a strong math foundation.

Edureka
In-depth practical introduction to machine learning using Python, covering supervised, unsupervised, and semi-supervised methods with hands-on exercises.

Edureka
Learn to build, evaluate, and optimize regression and classification models using the no-code Orange Data Mining platform with hands-on visual workflows.

Johns Hopkins University
Focus on practical applications of machine learning across domains including computer vision, feature analysis, and model evaluation with hands-on techniques.

University of Michigan
Learn to extract valuable information from free-text data using machine learning and text-mining techniques applied on real-world datasets from business and healthcare.

Real Madrid Graduate School Universidad Europea
This course explores how football analytics is applied in real-world professional environments, moving from theory to practice across performance analysis, scouting, club strategy, and media.

L&T EduTech
Introduction to digital transformation in industries focusing on data collection and Industrial IoT concepts through real-world examples and applications.

EDUCBA
Learners will analyze financial statements, evaluate risk and return trade-offs, apply investment appraisal techniques, and address ethical and governance considerations in managerial decision-making.

Edureka
Learn data analytics using Python and SQL in a practical, project-based course focused on manipulating, querying, and visualizing large datasets.

IBM
Final course in IBM Data Science program offering hands-on practice with data science methodologies and machine learning on real-world data sets.

Universidad Nacional Autónoma de México
Course on using Arduino open-source hardware to create musical experiments, including building sound generators and sound installations for creative expression.

Johns Hopkins University
Course for Python programmers to learn applied calculus foundations and numerical techniques, using Python to solve problems with derivatives and integrals.