Python for Spreadsheet Users
Use your knowledge of common spreadsheet functions and techniques to explore Python!
Follow short videos led by expert instructors and then practice what you’ve learned with interactive exercises in your browser.
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By continuing, you accept our Terms of Use, our Privacy Policy and that your data is stored in the USA.Use your knowledge of common spreadsheet functions and techniques to explore Python!
Learn how to write recursive queries and query hierarchical data structures.
From customer lifetime value, predicting churn to segmentation - learn and implement Machine Learning use cases for Marketing in Python.
In this course youll learn how to perform inference using linear models.
Prepare for your next statistics interview by reviewing concepts like conditional probabilities, A/B testing, the bias-variance tradeoff, and more.
Learn to analyze financial statements using Python. Compute ratios, assess financial health, handle missing values, and present your analysis.
Develop the skills you need to clean raw data and transform it into accurate insights.
Learn how to design and implement triggers in SQL Server using real-world examples.
Learn how computers work, design efficient algorithms, and explore computational theory to solve real-world problems.
Are you curious about the inner workings of the models that are behind products like Google Translate?
Learn to analyze and visualize network data with the igraph package and create interactive network plots with threejs.
Learn to work with time-to-event data. The event may be death or finding a job after unemployment. Learn to estimate, visualize, and interpret survival models!
Master travel planning with WanderBot: craft prompts, build confidence, and streamline your next adventure.
Get hands-on experience making sound conclusions based on data in this four-hour course on statistical inference in Python.
This course will show you how to combine and merge datasets with data.table.
Learn how to use FastAPI to develop APIs that support AI models, built to meet real-world demands.
Discover how to analyze and visualize baseball data using Power BI. Create scatter plots, tornado charts, and gauges to bring baseball insights alive.
Learn tools and techniques to leverage your own big data to facilitate positive experiences for your users.
Specify and fit GARCH models to forecast time-varying volatility and value-at-risk.
Learn to write cleaner, smarter Java code with methods, control flow, and loops.
In this Power BI case study you’ll play the role of a junior trader, analyzing mortgage trading and enhancing your data modeling and financial analysis skills.
Explore latent variables, such as personality, using exploratory and confirmatory factor analyses.
Learn how to load, transform, and transcribe speech from raw audio files in Python.
Step into the role of CFO and learn how to advise a board of directors on key metrics while building a financial forecast.
Learn how to manipulate, visualize, and perform statistical tests through a series of HR analytics case studies.
Learn to create interactive dashboards with R using the powerful shinydashboard package. Create dynamic and engaging visualizations for your audience.
In this course youll learn techniques for performing statistical inference on numerical data.
Work with risk-factor return series, study their empirical properties, and make estimates of value-at-risk.
Learn to analyze Airbnb data using SQL in Databricks, create dashboards, and derive actionable insights.
Enhance your KNIME skills with our course on data transformation, column operations, and workflow optimization.