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By continuing, you accept our Terms of Use, our Privacy Policy and that your data is stored in the USA.Building on your foundational Power Query in Excel knowledge, this intermediate course takes you to the next level of data transformation mastery
Transform almost any dataset into a tidy format to make analysis easier.
Master text analysis with essential NLP techniques from preprocessing to advanced transformer models.
Gain the essential skills using Scikit-learn, SHAP, and LIME to test and build transparent, trustworthy, and accountable AI systems.
Build the foundation you need to think statistically and to speak the language of your data.
Unlock BigQuerys power: grasp its fundamentals, execute queries, and optimize workflows for efficient data analysis.
Learn to write faster R code, discover benchmarking and profiling, and unlock the secrets of parallel programming.
Reshape DataFrames from a wide to long format, stack and unstack rows and columns, and wrangle multi-index DataFrames.
This course focuses on feature engineering and machine learning for time series data.
Start your reinforcement learning journey! Learn how agents can learn to solve environments through interactions.
In this course, you will be introduced to unsupervised learning through techniques such as hierarchical and k-means clustering using the SciPy library.
Learn how to create pivot tables and quickly organize thousands of data points with just a few clicks.
In this course, you will use T-SQL, the flavor of SQL used in Microsofts SQL Server for data analysis.
Master Git’s advanced features to streamline data science and engineering workflows, from complex merging to large-scale project optimization.
Create new features to improve the performance of your Machine Learning models.
Learn how to create a PostgreSQL database and explore the structure, data types, and how to normalize databases.
Take your R skills up a notch by learning to write efficient, reusable functions.
In this course, you’ll explore the modern MLOps framework, exploring the lifecycle and deployment of machine learning models.
Learn the fundamentals of AI security to protect systems from threats, align security with business goals, and mitigate key risks.
In this four-hour course, you’ll learn the basics of analyzing time series data in Python.
Expand your Google Sheets vocabulary by diving deeper into data types, including numeric data, logical data, and missing data.
Learn key object-oriented programming concepts, from basic classes and objects to advanced topics like inheritance and polymorphism.
Get your AI Act together! Understand the obligations, risks, and requirements of the EU AI Act.
Explore AI and data monetization strategies, build ethical infrastructures, and align products with business goals.
Boost your coding with AI—guide your coding assistant to write, test, and document code effectively.
Learn to perform linear and logistic regression with multiple explanatory variables.
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.
Master data preparation, cleaning, and analysis in Alteryx Designer, whether you are a new or seasoned analyst.
Take your dbt skills to the next level with this hands-on course designed for data engineers and analytics professionals.
Learn to create your own Python packages to make your code easier to use and share with others.