Data, AI, and Cloud Courses

In this course youll learn about basic experimental design, a crucial part of any data analysis.

Develop a strong intuition for how hierarchical and k-means clustering work and learn how to apply them to extract insights from your data.

Master the core operations of spaCy and train models for natural language processing. Extract information from unstructured data and match patterns.

Learn the gritty details that data scientists are spending 70-80% of their time on; data wrangling and feature engineering.

Learn to work with Plain Old Java Objects, master the Collections Framework, and handle exceptions like a pro, with logging to back it all up!

Shift to an MLOps mindset, enabling you to train, document, maintain, and scale your machine learning models to their fullest potential.

Help a fictional company in this interactive Power BI case study. You’ll use Power Query, DAX, and dashboards to identify the most in-demand data jobs!

Learn the fundamentals of how to build conversational bots using rule-based systems as well as machine learning.

Learn and use powerful Deep Reinforcement Learning algorithms, including refinement and optimization techniques.

Learn powerful command-line skills to download, process, and transform data, including machine learning pipeline.

Learn the essentials of parsing, manipulating and computing with dates and times in R.

Learn the theory behind responsibly managing your data for any AI project, from start to finish and beyond.

In this course, youll learn about the concepts of random variables, distributions, and conditioning.

Analyze text data in R using the tidy framework.

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 attractive visualizations of geospatial data in Python using the geopandas package and folium maps.

Create multi-modal systems using OpenAIs text and audio models, including an end-to-end customer support chatbot!

Learn how to manipulate data and create machine learning feature sets in Spark using SQL in Python.

Learn to effectively convey your data with an overview of common charts, alternative visualization types, and perception-driven style enhancements.

Learn to conduct image analysis using Keras with Python by constructing, training, and evaluating convolutional neural networks.

Learn basic business modeling including cash flows, investments, annuities, loan amortization, and more using Google Sheets.

Learn about risk management, value at risk and more applied to the 2008 financial crisis using Python.

Learn how to use Power BI for supply chain analytics in this case study. Create a make vs. buy analysis tool, calculate costs, and analyze production volumes.

Learn how to detect fraud using Python.

Learn to tame your raw, messy data stored in a PostgreSQL database to extract accurate insights.

Learn how to calculate meaningful measures of risk and performance, and how to compile an optimal portfolio for the desired risk and return trade-off.

Explore Power BI Service, master the interface, make informed decisions, and maximize the power of your reports.

Are customers thrilled with your products or is your service lacking? Learn how to perform an end-to-end sentiment analysis task.

Fine-tune Llama for custom tasks using TorchTune, and learn techniques for efficient fine-tuning such as quantization.

Practice data storytelling using real-world examples! Communicate complex insights effectively with a dataset of certified green businesses.