Data, AI, and Cloud Courses

Discover modern data architectures key components, from ingestion and serving to governance and orchestration.

Learn to acquire data from common file formats and systems such as CSV files, spreadsheets, JSON, SQL databases, and APIs.

In this course you will learn the details of linear classifiers like logistic regression and SVM.

In this course youll learn the basics of working with time series data.

Learn the fundamentals of neural networks and how to build deep learning models using Keras 2.0 in Python.

Step right into the dynamic world of data modeling with Snowflake!

Master Power Pivot in Excel to help import data, create relationships, and utilize DAX. Build dynamic dashboards to uncover actionable insights.

Learn to clean data as quickly and accurately as possible to help you move from raw data to awesome insights.

Learn to write SQL queries to calculate key metrics that businesses use to measure performance.

Learn how to perform financial analysis in Power BI or apply any existing financial skills using Power BI data visualizations.

Learn Databricks SQL for data engineering, analytics, and real-time data workflows in the lakehouse architecture.

In this course you will learn the basics of machine learning for classification.

R Markdown is an easy-to-use formatting language for authoring dynamic reports from R code.

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

Learn to process, transform, and manipulate images at your will.

This course is an introduction to linear algebra, one of the most important mathematical topics underpinning data science.

Learn how and when to use hypothesis testing in R, including t-tests, proportion tests, and chi-square tests.

Learn the fundamentals of gradient boosting and build state-of-the-art machine learning models using XGBoost to solve classification and regression problems.

Level up your GitHub skills with our intermediate course on GitHub Projects, Administration, and advanced security features.

Learn to use facets, coordinate systems and statistics in ggplot2 to create meaningful explanatory plots.

Building on your foundational Power Query in Excel knowledge, this intermediate course takes you to the next level of data transformation mastery

Master text analysis with essential NLP techniques from preprocessing to advanced transformer models.

Build the foundation you need to think statistically and to speak the language of your data.

Bash scripting allows you to build analytics pipelines in the cloud and work with data stored across multiple files.

Reshape DataFrames from a wide to long format, stack and unstack rows and columns, and wrangle multi-index DataFrames.

Gain the essential skills using Scikit-learn, SHAP, and LIME to test and build transparent, trustworthy, and accountable AI systems.

Transform almost any dataset into a tidy format to make analysis easier.

Unlock BigQuerys power: grasp its fundamentals, execute queries, and optimize workflows for efficient data analysis.

Master Apache Kafka! From core concepts to advanced architecture, learn to create, manage, and troubleshoot Kafka for real-world data streaming challenges!

In this course, you will be introduced to unsupervised learning through techniques such as hierarchical and k-means clustering using the SciPy library.