Intermediate Data Visualization with ggplot2
Learn to use facets, coordinate systems and statistics in ggplot2 to create meaningful explanatory plots.
Follow short videos led by expert instructors and then practice what you’ve learned with interactive exercises in your browser.
Learn to use facets, coordinate systems and statistics in ggplot2 to create meaningful explanatory plots.
Learn to perform linear and logistic regression with multiple explanatory variables.
Learn how to prepare credit application data, apply machine learning and business rules to reduce risk and ensure profitability.
R Markdown is an easy-to-use formatting language for authoring dynamic reports from R code.
In this conceptual course (no coding required), you will learn about the four major NoSQL databases and popular engines.
Transform almost any dataset into a tidy format to make analysis easier.
Master sampling to get more accurate statistics with less data.
Learn the practical uses of A/B testing in Python to run and analyze experiments. Master p-values, sanity checks, and analysis to guide business decisions.
Learn to start developing deep learning models with Keras.
Learn the fundamentals of exploring, manipulating, and measuring biomedical image data.
Step right into the dynamic world of data modeling with Snowflake!
Learn the basics of model validation, validation techniques, and begin creating validated and high performing models.
Learn the fundamentals of how to build conversational bots using rule-based systems as well as machine learning.
Learn to implement custom trading strategies in Python, backtest them, and evaluate their performance!
Learn the theory behind responsibly managing your data for any AI project, from start to finish and beyond.
Shift to an MLOps mindset, enabling you to train, document, maintain, and scale your machine learning models to their fullest potential.
Use Seaborns sophisticated visualization tools to make beautiful, informative visualizations with ease.
Practice Power BI with our healthcare case study. Analyze data, uncover efficiency insights, and build a dashboard.
Are customers thrilled with your products or is your service lacking? Learn how to perform an end-to-end sentiment analysis task.
Master the core operations of spaCy and train models for natural language processing. Extract information from unstructured data and match patterns.
Use RNA-Seq differential expression analysis to identify genes likely to be important for different diseases or conditions.
Master multi-stage builds, Docker networking tools, and Docker Compose for optimal containerized applications!
Evaluate portfolio risk and returns, construct market-cap weighted equity portfolios and learn how to forecast and hedge market risk via scenario generation.
Take your reporting skills to the next level with Tableau’s built-in statistical functions.
Explore ways to work with date and time data in SQL Server for time series analysis
Shiny is an R package that makes it easy to build interactive web apps directly in R, allowing your team to explore your data as dashboards or visualizations.
Learn to model and predict stock data values using linear models, decision trees, random forests, and neural networks.
Learn how to build interactive and insight-rich dashboards with Dash and Plotly.
Learn techniques for automated hyperparameter tuning in Python, including Grid, Random, and Informed Search.
Learn to perform the two key tasks in statistical inference: parameter estimation and hypothesis testing.