Data Science
Showing 1285–1296 of 1577 results
R for Programmers
An introduction to the fundamentals of the R programming language for experienced programmers.
R Programming for Data Science
This Free Online Course Includes: 6-10 Hours of Learning CPD Accreditation Final Assessment
Reading and Writing CSV Files in Python
This course solves the problem of loading data from CSV files.
Reading Data
In this course, you'll learn how to read data from various sources, like surveys, sensors, and machines, and how to use Python tools to clean, aggregate, and visualize it. You'll also explore the value of data for different use cases and industries.
Reading, Writing and Parsing JSON Files in Python
Manipulating JSON files is essential to importing and processing JSON data in Python. This course teaches you to apply the most valuable and common JSON data and file operations available with the Python standard library.
Real-Time Analytics with Apache Storm
Study the use of Apache Storm for processing real-time data streams and generating insights on-the-fly.
Recognizing the Need for Data Literacy: Executive Briefing
Through this course, individuals will learn the value of data literacy for their employees and organization as a whole, along with discovering what data literacy is and key skills to help organizations succeed in the digital and analytics economy.
Recommendation Systems with TensorFlow on GCP
In this course, you'll apply your knowledge of classification models and embeddings to build a ML pipeline that functions as a recommendation engine.
Reducing Complexity in Data
This course covers several techniques used to optimally simplify data used in supervised machine learning applications ranging from relatively simple feature selection techniques to very complex applications of clustering using deep neural networks.
Reducing Dimensions in Data with scikit-learn
This course covers a wide range of the important techniques of dimensionality reduction and feature selection available in scikit-learn, allowing model builders to optimize model performance by reducing overfitting, save on model training time and cost, and better visualize the results of machine learning models.
Reducing Unfair Bias in Machine Learning
This course will give you an overview on the concept of fairness which helps in building trust in AI and how
Refactoring to microservices with open-source AI technology
Learn how to refactor legacy applications into microservices using open-source AI technologies. Understand the principles of microservices architecture and how to deploy scalable, independent services for improved system efficiency.