Computational Thinking Courses
Computational thinking courses can help you learn problem decomposition, pattern recognition, algorithmic design, and abstraction techniques. You can build skills in logical reasoning, data analysis, and effective solution development across various applications, from programming to data science. Many courses introduce tools like Python, Scratch, and various simulation software, demonstrating how these skills can be applied to solve complex problems in fields such as artificial intelligence, robotics, and software development.
Popular Computational Thinking Courses and Certifications
Status: NewStatus: PreviewSkills you'll gain: Unsupervised Learning, Customer Analysis, Applied Machine Learning, R Programming, Data Preprocessing, Statistical Machine Learning, Machine Learning, Feature Engineering, Data Analysis
Status: NewStatus: PreviewSkills you'll gain: Data Preprocessing, Tensorflow, Scikit Learn (Machine Learning Library), Machine Learning, Feature Engineering, Deep Learning, Convolutional Neural Networks, Matplotlib, Jupyter, Python Programming, NumPy, Data Manipulation, Artificial Neural Networks, Seaborn, Development Environment, Pandas (Python Package), Regression Analysis
Status: PreviewSkills you'll gain: Model Deployment, Tensorflow, Keras (Neural Network Library), Google Cloud Platform, Data Pipelines, Cloud Deployment, MLOps (Machine Learning Operations), Deep Learning, Data Preprocessing, Artificial Neural Networks, Data Transformation, Machine Learning, Application Programming Interface (API)
Status: NewStatus: Free TrialBoard Infinity
Skills you'll gain: Data Preprocessing, Model Deployment, Apache Mahout, Java, Java Programming, Apache Spark, Classification Algorithms, Applied Machine Learning, Deep Learning, Model Evaluation, Natural Language Processing, Data Cleansing, Machine Learning, Feature Engineering, Regression Analysis
Status: PreviewGoogle Cloud
Skills you'll gain: Recurrent Neural Networks (RNNs), Machine Learning Methods, Deep Learning, Artificial Neural Networks, Text Mining, Natural Language Processing
Status: PreviewGoogle Cloud
Skills you'll gain: Image Analysis, Generative AI, Model Evaluation, Convolutional Neural Networks, Generative Model Architectures, Deep Learning
Status: Free TrialUniversidades Anáhuac
Skills you'll gain: Artificial Neural Networks, Keras (Neural Network Library), Deep Learning, Applied Machine Learning, Tensorflow, Convolutional Neural Networks, Recurrent Neural Networks (RNNs), Image Analysis, Computer Vision, Model Evaluation, Python Programming
Status: NewStatus: Free TrialSkills you'll gain: Keras (Neural Network Library), Convolutional Neural Networks, Transfer Learning, Model Evaluation, Image Analysis, Computer Vision, Deep Learning, Tensorflow, Applied Machine Learning, Data Preprocessing, Jupyter, Matplotlib, Visualization (Computer Graphics)
Status: PreviewSkills you'll gain: Deep Learning, Applied Machine Learning, Artificial Intelligence, Computer Vision, Image Analysis, Natural Language Processing, Model Evaluation, Exploratory Data Analysis, Interactive Data Visualization, Performance Tuning, Data Import/Export
Google Cloud
Skills you'll gain: Site Reliability Engineering, Safety Culture, Culture Transformation, Continuous Delivery, DevOps, Service Level, Continuous Integration, Performance Measurement, Performance Metric, Change Management, Design Thinking, Automation, Data-Driven Decision-Making, Prototyping
Status: NewStatus: Free TrialSkills you'll gain: Amazon Elastic Compute Cloud, Amazon Web Services, Model Deployment, Tensorflow, Image Analysis, Convolutional Neural Networks, Feature Engineering, Data Preprocessing, Deep Learning, Applied Machine Learning, Application Development, Recurrent Neural Networks (RNNs), Model Evaluation
Status: Free TrialGoogle Cloud
Skills you'll gain: Keras (Neural Network Library), Tensorflow, Recurrent Neural Networks (RNNs), Natural Language Processing, Applied Machine Learning, Deep Learning, Text Mining
In summary, here are 10 of our most popular computational thinking courses
- R: Apply & Analyze K-Means Clustering for Unsupervised ML:Â EDUCBA
- Master Machine Learning with TensorFlow: Basics to Advanced:Â EDUCBA
- Build, Train and Deploy ML Models with Keras on Google Cloud - Português Brasileiro: Google Cloud
- Machine Learning with Implementation in Java:Â Board Infinity
- Attention Mechanism - 简体ä¸æ–‡: Google Cloud
- Create Image Captioning Models - 简体ä¸æ–‡: Google Cloud
- Deep Learning: Del Concepto a la Práctica: Universidades Anáhuac
- Image Classification with Keras: Build & Optimize:Â EDUCBA
- H2O Hydrogen Torch Starter Course:Â H2O.ai
- Developing a Google SRE Culture - 日本語版: Google Cloud
