Building Dashboards with shinydashboard
Learn to create interactive dashboards with R using the powerful shinydashboard package. Create dynamic and engaging visualizations for your audience.
Follow short videos led by expert instructors and then practice what you’ve learned with interactive exercises in your browser.
Learn to create interactive dashboards with R using the powerful shinydashboard package. Create dynamic and engaging visualizations for your audience.
Manage the complexity in your code using object-oriented programming with the S3 and R6 systems.
Develop the skills you need to clean raw data and transform it into accurate insights.
Learn the bag of words technique for text mining with R.
Apply statistical modeling in a real-life setting using logistic regression and decision trees to model credit risk.
Start your reinforcement learning journey! Learn how agents can learn to solve environments through interactions.
In this course you'll learn how to perform inference using linear models.
Learn how to write recursive queries and query hierarchical data structures.
In this course, you'll learn how to collect Twitter data and analyze Twitter text, networks, and geographical origin.
Use your knowledge of common spreadsheet functions and techniques to explore Python!
Discover how to use the income statement and balance sheet in Power BI
Learn to analyze financial statements using Python. Compute ratios, assess financial health, handle missing values, and present your analysis.
Leverage the OpenAI API to get your AI applications ready for production.
Learn to build pipelines that stand the test of time.
Learn dimensionality reduction techniques in R and master feature selection and extraction for your own data and models.
Learn how to produce interactive web maps with ease using leaflet.
Learn how to manipulate, visualize, and perform statistical tests through a series of HR analytics case studies.
This Power BI case study follows a real-world business use case on tackling inventory analysis using DAX and visualizations.
Learn how to use Python to analyze customer churn and build a model to predict it.
Learn how to analyze survey data with Python and discover when it is appropriate to apply statistical tools that are descriptive and inferential in nature.
Learn tools and techniques to leverage your own big data to facilitate positive experiences for your users.
This Power BI case study follows a real-world business use case where you will apply the concepts of ETL and visualization.
Apply your finance and R skills to backtest, analyze, and optimize financial portfolios.
Learn how to build a model to automatically classify items in a school budget.
In ecommerce, increasing sales and reducing expenses are top priorities. In this case study, you'll investigate data from an online pet supply company.
This course covers everything you need to know to build a basic machine learning monitoring system in Python
Master marketing analytics using Tableau. Analyze performance, benchmark metrics, and optimize strategies across channels.
Learn how to access financial data from local files as well as from internet sources.
Extend your regression toolbox with the logistic and Poisson models and learn to train, understand, and validate them, as well as to make predictions.
Learn to write scripts that will catch and handle errors and control for multiple operations happening at once.