627 Data Science Courses
This course explores glass classification using decision tree and random forest classification in Julia, perfect for beginners seeking hands-on learning.
Deep Learning Specialization is a foundational program that prepares you to understand, build, and apply deep neural networks, improving your career and technical...
Deep Learning for Healthcare offers a comprehensive exploration of modern computer science methods applied to medical scenarios, encompassing health data analysis,...
Deep learning in Electronic Health Records - CDSS 2 offers comprehensive training in applying deep learning architectures to EHR data, addressing challenges such...
Train and deploy a multiclass neural network on Azure ML Studio to recognize handwritten digits. Create a Python web app to query the Azure web service API for deep...
Deep Learning with PyTorch: Build an AutoEncoder
Learn to develop deep learning models using PyTorch in this comprehensive course that covers fundamental concepts to advanced techniques.
DeepLearning.AI TensorFlow Developer Professional Certificate program teaches applied machine learning skills with TensorFlow to build and train powerful models....
Defining, Describing, and Visualizing Data equips leaders with the ability to utilize data-based methods to answer questions, describe associated data, and visualize...
Demand Forecasting Using Time Series is a specialized course focusing on building ARIMA models in Python for demand prediction and exploring advanced neural networks...
Demand Planning in RStudio: Create Demand Forecast is a 2-hour project-based course for Supply Chain and Operations Analysts, focusing on demand data analysis, forecasting,...
In this project-based course, you will learn to create, evaluate, and deploy a machine learning model using Watson Studio on IBM Cloud without coding.
Deploying a PyTorch Computer Vision Model API to Heroku offers hands-on experience in deploying a Flask REST API using a pre-trained PyTorch image classification...
Deploying Machine Learning Models is a comprehensive course covering recommender systems and deployment issues for data products, culminating in a capstone project....
Deploying Machine Learning Models in Production equips you with the skills to deploy, manage, and monitor ML models in real-world scenarios, ensuring their reliability...
This course provides an introduction to essential tools and concepts in the data scientist's toolbox, covering topics such as R, RStudio, Github, version control,...
This course equips learners with the skills to plan, design, and analyze experiments effectively, using modern experimental strategies and data analysis techniques....
Design Thinking and Predictive Analytics for Data Products is a comprehensive course that delves into the fundamental concepts of statistical learning and predictive...