Introduction to Text Analysis in R
Analyze text data in R using the tidy framework.
Follow short videos led by expert instructors and then practice what you’ve learned with interactive exercises in your browser.
Analyze text data in R using the tidy framework.
In this course, you'll learn how to collect Twitter data and analyze Twitter text, networks, and geographical origin.
Extract and visualize Twitter data, perform sentiment and network analysis, and map the geolocation of your tweets.
An introduction to data science with no coding involved.
Gain an introduction to data in this hands-on course. Learn the basics of data types and structures, the DIKW framework, data ethics and more.
Learn fundamental natural language processing techniques using Python and how to apply them to extract insights from real-world text data.
Learn about data science for managers and businesses and how to use data to strengthen your organization.
Gain a clear understanding of data privacy principles and how to implement privacy and security processes.
Learn how to use GitHub's various features, navigate the interface and perform everyday collaborative tasks.
In this course, you will be introduced to unsupervised learning through techniques such as hierarchical and k-means clustering using the SciPy library.
Prepare for your next coding interviews in Python.
Master Azure Management and Governance with our comprehensive course, ideal for data professionals seeking cloud expertise.
Discover the exciting world of Deep Learning for Text with PyTorch and unlock new possibilities in natural language processing and text generation.
Learn how to create a PostgreSQL database and explore the structure, data types, and how to normalize databases.
Data storytelling is a high-demand skill that elevates analytics. Learn narrative building and visualizations in this course with a college major dataset!
Build multiple-input and multiple-output deep learning models using Keras.
Sharpen your knowledge and prepare for your next interview by practicing Python machine learning interview questions.
Learn the bag of words technique for text mining with R.
Learn to use the Census API to work with demographic and socioeconomic data.
Gain an overview of all the skills and tools needed to excel in Natural Language Processing in R.
Strengthen your knowledge of the topics covered in Manipulating Time Series in R using real case study data.
Learn to process sensitive information with privacy-preserving techniques.
Learn how to prepare and organize your data for predictive analytics.
In this course, you'll prepare for the most frequently covered statistical topics from distributions to hypothesis testing, regression models, and much more.
Master AWS security, governance, and cost optimization to prepare for the Cloud Practitioner certification.
Learn mixture models: a convenient and formal statistical framework for probabilistic clustering and classification.