Introduction to Embeddings with the OpenAI API
Unlock more advanced AI applications, like semantic search and recommendation engines, using OpenAI's embedding model!
Follow short videos led by expert instructors and then practice what you’ve learned with interactive exercises in your browser.
Unlock more advanced AI applications, like semantic search and recommendation engines, using OpenAI's embedding model!
Master sampling to get more accurate statistics with less data.
Explore the world of Pivot Tables within Google Sheets, and learn how to quickly organize thousands of data points with just a few clicks of the mouse.
Learn to write faster R code, discover benchmarking and profiling, and unlock the secrets of parallel programming.
Learn how to clean data with Apache Spark in Python.
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.
Improve data literacy skills by analyzing remote working policies.
Bash scripting allows you to build analytics pipelines in the cloud and work with data stored across multiple files.
Understand the concept of reducing dimensionality in your data, and master the techniques to do so in Python.
Learn how to blend business, data, and AI, and set goals to drive success with an effectively scalable AI Strategy.
Master AWS cloud technology with our course - ideal for hands-on learning and practical applications in the AWS ecosystem.
Learn how to perform financial analysis in Power BI or apply any existing financial skills using Power BI data visualizations.
Learn how to identify, analyze, remove and impute missing data in Python.
Build on top of your Python skills for Finance, by learning how to use datetime, if-statements, DataFrames, and more.
Navigate and use the extensive repository of models and datasets available on the Hugging Face Hub.
Learn to tame your raw, messy data stored in a PostgreSQL database to extract accurate insights.
In this conceptual course (no coding required), you will learn about the four major NoSQL databases and popular engines.
Learn the basics of model validation, validation techniques, and begin creating validated and high performing models.
Learn the fundamentals of data visualization using Google Sheets.
This course teaches the big ideas in machine learning like how to build and evaluate predictive models.
Reshape DataFrames from a wide to long format, stack and unstack rows and columns, and wrangle multi-index DataFrames.
Learn to conduct image analysis using Keras with Python by constructing, training, and evaluating convolutional neural networks.
Learn the core techniques necessary to extract meaningful insights from time series data.
Learn how to prepare credit application data, apply machine learning and business rules to reduce risk and ensure profitability.
Expand your Google Sheets vocabulary by diving deeper into data types, including numeric data, logical data, and missing data.
Learn efficient techniques in pandas to optimize your Python code.
Are customers thrilled with your products or is your service lacking? Learn how to perform an end-to-end sentiment analysis task.
In this interactive course, you’ll learn how to use functions for your Tableau calculations and when you should use 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.