Marketing Analytics in Google Sheets
Learn how to ensure clean data entry and build dynamic dashboards to display your marketing data.
Follow short videos led by expert instructors and then practice what you’ve learned with interactive exercises in your browser.
or
By continuing, you accept our Terms of Use, our Privacy Policy and that your data is stored in the USA.Learn how to ensure clean data entry and build dynamic dashboards to display your marketing data.
Master SQL Server programming by learning to create, update, and execute functions and stored procedures.
Learn how to efficiently transform, clean, and analyze data using Polars, a Python library for fast data manipulation.
Learn how to build interactive and insight-rich dashboards with Dash and Plotly.
Learn to construct compelling and attractive visualizations that help communicate results efficiently and effectively.
Combine text, images, audio, and video with the latest AI models from Hugging Face, and generate new images and videos!
Learn to tame your raw, messy data stored in a PostgreSQL database to extract accurate insights.
Learn the fundamentals of exploring, manipulating, and measuring biomedical image data.
Learn how to use Python scripts in Power BI for data prep, visualizations, and calculating correlation coefficients.
Explore ways to work with date and time data in SQL Server for time series analysis
Learn how to approach and win competitions on Kaggle.
Solidify your decision science skills by designing data-informed frameworks and implementing efficient solutions.
Master time series data manipulation in R, including importing, summarizing and subsetting, with zoo, lubridate and xts.
Learn the core techniques necessary to extract meaningful insights from time series data.
Learn to bring data into Microsoft Fabric, covering Pipelines, Dataflows, Shortcuts, Semantic Models, security, and model refresh.
Explore Data Version Control for ML data management. Master setup, automate pipelines, and evaluate models seamlessly.
Ensure high data quality in data science and data engineering workflows with Pythons Great Expectations library.
In this course, youll learn how to import and manage financial data in Python using various tools and sources.
Parse data in any format. Whether its flat files, statistical software, databases, or data right from the web.
Learn to solve real-world optimization problems using Pythons SciPy and PuLP, covering everything from basic to constrained and complex optimization.
In this course you will learn to fit hierarchical models with random effects.
Use data manipulation and visualization skills to explore the historical voting of the United Nations General Assembly.
Learn about the difference between batching and streaming, scaling streaming systems, and real-world applications.
In this course youll learn to use and present logistic regression models for making predictions.
Learn to design and run your own Monte Carlo simulations using Python!
Leverage the power of Python and PuLP to optimize supply chains.
In this course youll learn about basic experimental design, a crucial part of any data analysis.
Learn how to manipulate data and create machine learning feature sets in Spark using SQL in Python.
Learn to analyze data over time with this practical course on Time Series Analysis in Power BI. Work with real datasets & practice common techniques.
Learn how to make GenAI models truly reflect human values while gaining hands-on experience with advanced LLMs.