Data Visualization in Google Sheets
Learn the fundamentals of data visualization using Google Sheets.
Follow short videos led by expert instructors and then practice what you’ve learned with interactive exercises in your browser.
Learn the fundamentals of data visualization using Google Sheets.
In this course, you'll learn the basics of relational databases and how to interact with them.
Gain experience using techniques for automated hyperparameter tuning in Python, including Grid, Random, and Informed Search.
Learn how to use plotly in R to create interactive data visualizations to enhance your data storytelling.
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 build interactive and insight-rich dashboards with Dash and Plotly.
Master the core operations of spaCy and train models for natural language processing. Extract information from unstructured data and match patterns.
Learn techniques to extract useful information from text and process them into a format suitable for machine learning.
Learn how to use MLflow to simplify the complexities of building machine learning applications. Explore MLflow tracking, projects, models, and model registry.
In this course, you'll learn how to import and manage financial data in Python using various tools and sources.
Discover how to become a data defender and keep data safe and secure with this beginner-friendly interactive course.
Learn to perform linear and logistic regression with multiple explanatory variables.
Leverage the power of Python and PuLP to optimize supply chains.
Analyze text data in R using the tidy framework.
Learn to model and predict stock data values using linear models, decision trees, random forests, and neural networks.
Master time series data manipulation in R, including importing, summarizing and subsetting, with zoo, lubridate and xts.
Learn to implement custom trading strategies in Python, backtest them, and evaluate their performance!
Apply PyTorch to images and use deep learning models for object detection with bounding boxes and image segmentation generation.
Learn how to make predictions from data with Apache Spark, using decision trees, logistic regression, linear regression, ensembles, and pipelines.
Take your reporting skills to the next level with Tableau’s built-in statistical functions.
Master Python testing: Learn methods, create checks, and ensure error-free code with pytest and unittest.
In this Introduction to DevOps, you’ll master the DevOps basics and learn the key concepts, tools, and techniques to improve productivity.
Shift to an MLOps mindset, enabling you to train, document, maintain, and scale your machine learning models to their fullest potential.
Learn to perform the two key tasks in statistical inference: parameter estimation and hypothesis testing.
Learn about ARIMA models in Python and become an expert in time series analysis.
Learn all about the advantages of Bayesian data analysis, and apply it to a variety of real-world use cases!
In this course, you'll learn about the concepts of random variables, distributions, and conditioning.
Explore association rules in market basket analysis with Python by bookstore data and creating movie recommendations.
Learn about risk management, value at risk and more applied to the 2008 financial crisis using Python.
Learn about responsible AI data management practices. Discover strategies covering all stages of an AI project to help you develop AI responsibly.