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- Data Analysis Expressions (DAX) allow you to take your Power BI skills to the next level by writing custom functions.
- Learn powerful techniques for image analysis in Python using deep learning and convolutional neural networks in Keras.
- Develop a strong intuition for how hierarchical and k-means clustering work and learn how to apply them to extract insights from your data.
- In this course, you'll learn about the concepts of random variables, distributions, and conditioning.
- Learn how to build interactive and insight-rich dashboards with Dash and Plotly.
- Explore the world of Pivot Tables within Google Sheets, and learn how to quickly organize thousands of data points with just a few clicks of the mouse.
- Learn to write SQL queries to calculate key metrics that businesses use to measure performance.
- Learn how to identify, analyze, remove and impute missing data in Python.
- Learn how to describe relationships between two numerical quantities and characterize these relationships graphically.
- Learn how to use spaCy to build advanced natural language understanding systems, using both rule-based and machine learning approaches.
- The xts and zoo packages make the task of managing and manipulating ordered observations fast and mistake free.
- Learn to create your own Python packages to make your code easier to use and share with others.
- In this course you'll learn how to perform inference using linear models.
