Categorical Data in the Tidyverse
Get ready to categorize! In this course, you will work with non-numerical data, such as job titles or survey responses, using the Tidyverse landscape.
Get ready to categorize! In this course, you will work with non-numerical data, such as job titles or survey responses, using the Tidyverse landscape.
Explore data ethics with this comprehensive introductory course, covering principles, AI ethics, and practical skills to ensure responsible data use.
Master Azure Management and Governance with our comprehensive course, ideal for data professionals seeking cloud expertise.
Uncover AI's challenges and societal implications in this theoretical course. Discover machine learning, deep learning, NLP, generative models & more.
Gain an introduction to data in this hands-on course. Learn the basics of data types and structures, the DIKW framework, data ethics and more.
Start your Tableau journey with our Introduction to Tableau course. Discover Tableau basics such as its features and dashboards.
Discover the full potential of LLMs with our conceptual course covering LLM applications, training methodologies, ethical considerations, and latest research.
Learn to analyze data over time with this practical course on Time Series Analysis in Power BI. Work with real datasets & practice common techniques.
Accompanied at every step with hands-on practice queries, this course teaches you everything you need to know to analyze data using your own SQL code today!
Learn about the world of data engineering in this short course, covering tools and topics like ETL and cloud computing.
Get to know the Google Cloud Platform (GCP) with this course on storage, data handling, and business modernization using GCP.
Building on your foundational Power Query in Excel knowledge, this intermediate course takes you to the next level of data transformation mastery
Learn to draw conclusions from limited data using Python and statistics. This course covers everything from random sampling to stratified and cluster sampling.
Take your Julia skills to the next level with our intermediate Julia course. Learn about loops, advanced data structures, timing, and more.
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 basics of data analysis with Python in just four hours. This online course will introduce the Python interface and explore popular packages.
Get hands-on experience making sound conclusions based on data in this four-hour course on statistical inference in Python.
Detect anomalies in your data analysis and expand your Python statistical toolkit in this four-hour course.
Understand the role and real-world realities of Explainable Artificial Intelligence (XAI) with this beginner friendly course.
Grow your machine learning skills with scikit-learn in Python. Use real-world datasets in this interactive course and learn how to make powerful predictions!
Data storytelling is a high-demand skill that elevates analytics. Learn narrative building and visualizations in this course with a college major dataset!
Discover how to become a data defender and keep data safe and secure with this beginner-friendly interactive course.
Gain a clear understanding of GDPR principles and how to set up GDPR-compliant processes in this comprehensive course.
Familiarize yourself with Git for version control. Explore how to track, compare, modify, and revert files, as well as collaborate with colleagues using Git.
Learn the most important PostgreSQL functions for manipulating, processing, and transforming data.
Learn how to clean and prepare your data for machine learning!
Learn about the power of Databricks Lakehouse and help you scale up your data engineering and machine learning skills.
Discover a wide range of DAX calculations and learn how to use them in Microsoft Power BI.
Understand the fundamentals of Machine Learning and how it's applied in the business world.
Gain an introduction to data governance, exploring its meaning, purpose, and how to implement a data governance framework.
Learn about Excel financial modeling, including cash flow, scenario analysis, time value, and capital budgeting.
Learn how to perform financial analysis in Power BI or apply any existing financial skills using Power BI data visualizations.
Evaluate portfolio risk and returns, construct market-cap weighted equity portfolios and learn how to forecast and hedge market risk via scenario generation.
Expand your Google Sheets vocabulary by diving deeper into data types, including numeric data, logical data, and missing data.
Build multiple-input and multiple-output deep learning models using Keras.
Elevate your Machine Learning Development with CI/CD using GitHub Actions and Data Version Control
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 tools and techniques to leverage your own big data to facilitate positive experiences for your users.
Learn to effectively convey your data with an overview of common charts, alternative visualization types, and perception-driven style enhancements.
Master Amazon Redshift's SQL, data management, optimization, and security.
Leverage the tools in the tidyverse to generate, explore and evaluate machine learning models.
Learn how to use PostgreSQL to handle time series analysis effectively and apply these techniques to real-world data.
Advance you R finance skills to backtest, analyze, and optimize financial portfolios.
Learn to solve real-world optimization problems using Python's SciPy and PuLP, covering everything from basic to constrained and complex optimization.
Understand how to prepare Excel data through logical functions, nested formulas, lookup functions, and PivotTables.
Learn to implement distributed data management and machine learning in Spark using the PySpark package.
Learn fundamental natural language processing techniques using Python and how to apply them to extract insights from real-world text data.
Learn how to analyze a SQL table and report insights to management.
You’ll learn how to (un)pivot, transpose, append and join tables. Gain power with custom columns, M language, and the Advanced Editor.
Discover modern data architecture's key components, from ingestion and serving to governance and orchestration.