Power Pivot in Excel
Master Power Pivot in Excel to help import data, create relationships, and utilize DAX. Build dynamic dashboards to uncover actionable insights.
Follow short videos led by expert instructors and then practice what you’ve learned with interactive exercises in your browser.
Master Power Pivot in Excel to help import data, create relationships, and utilize DAX. Build dynamic dashboards to uncover actionable insights.
Building on your foundational Power Query in Excel knowledge, this intermediate course takes you to the next level of data transformation mastery
Learn to acquire data from common file formats and systems such as CSV files, spreadsheets, JSON, SQL databases, and APIs.
Take your R skills up a notch by learning to write efficient, reusable functions.
Discover how to make better business decisions by applying practical data frameworks—no coding required.
Learn to create your own Python packages to make your code easier to use and share with others.
Gain the essential skills using Scikit-learn, SHAP, and LIME to test and build transparent, trustworthy, and accountable AI systems.
Master Apache Kafka! From core concepts to advanced architecture, learn to create, manage, and troubleshoot Kafka for real-world data streaming challenges!
This course focuses on feature engineering and machine learning for time series data.
Leverage the OpenAI API to get your AI applications ready for production.
Learn the fundamentals of gradient boosting and build state-of-the-art machine learning models using XGBoost to solve classification and regression problems.
Explore data ethics with this comprehensive introductory course, covering principles, AI ethics, and practical skills to ensure responsible data use.
You will investigate a dataset from a fictitious company called Databel in Tableau, and need to figure out why customers are churning.
Unlock BigQuerys power: grasp its fundamentals, execute queries, and optimize workflows for efficient data analysis.
Learn to start developing deep learning models with Keras.
Learn to write faster R code, discover benchmarking and profiling, and unlock the secrets of parallel programming.
Learn about Large Language Models (LLMs) and how they are reshaping the business world.
Learn about string manipulation and become a master at using regular expressions.
Learn key object-oriented programming concepts, from basic classes and objects to advanced topics like inheritance and polymorphism.
Conquer NoSQL and supercharge data workflows. Learn Snowflake to work with big data, Postgres JSON for handling document data, and Redis for key-value data.
Learn how to blend business, data, and AI, and set goals to drive success with an effectively scalable AI Strategy.
Unlock more advanced AI applications, like semantic search and recommendation engines, using OpenAIs embedding model!
Learn the fundamentals of neural networks and how to build deep learning models using TensorFlow.
Create new features to improve the performance of your Machine Learning models.
Learn how to build your own SQL reports and dashboards, plus hone your data exploration, cleaning, and validation skills.
Master strategic data management for business excellence.
Learn how to use MLflow to simplify the complexities of building machine learning applications. Explore MLflow tracking, projects, models, and model registry.
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.
Transform almost any dataset into a tidy format to make analysis easier.
Learn how to create a PostgreSQL database and explore the structure, data types, and how to normalize databases.