Data science courses

Learn to use Google Sheets to clean, analyze, and draw insights from data. Discover how to sort, filter, and use VLOOKUP to combine data.

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

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

Find tables, store and manage new tables and views, and write maintainable SQL code to answer business questions.

Learn how to translate business questions to well-formed analytical questions and select the right analytical solutions.

Learn to connect Tableau to different data sources and prepare the data for a smooth analysis.

Learn the fundamentals of AI security to protect systems from threats, align security with business goals, and mitigate key risks.

Unlock more advanced AI applications, like semantic search and recommendation engines, using OpenAIs embedding model!

Start your reinforcement learning journey! Learn how agents can learn to solve environments through interactions.

Learn to create your own Python packages to make your code easier to use and share with others.

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

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

Data visualization is one of the most desired skills for data analysts. This course allows you to present your findings better using Tableau.

Master the key concepts of data management, from life cycle stages to security and governance.

In this four-hour course, you’ll learn the basics of analyzing time series data in Python.

Create new features to improve the performance of your Machine Learning models.

Learn how to blend business, data, and AI, and set goals to drive success with an effectively scalable AI Strategy.

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

This course focuses on feature engineering and machine learning for time series data.

Learn about Large Language Models (LLMs) and how they are reshaping the business world.

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

Apply PyTorch to images and use deep learning models for object detection with bounding boxes and image segmentation generation.

Learn the key components of building a strong data culture within an organization.

Gain an introduction to data governance, exploring its meaning, purpose, and how to implement a data governance framework.

Learn the fundamentals of neural networks and how to build deep learning models using TensorFlow.

Discover how to make better business decisions by applying practical data frameworks—no coding required.

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

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

Learn about string manipulation and become a master at using regular expressions.

Learn how to use MLflow to simplify the complexities of building machine learning applications. Explore MLflow tracking, projects, models, and model registry.