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- Learn how to use graphical and numerical techniques to begin uncovering the structure of your data.
- Consolidate and extend your knowledge of Python data types such as lists, dictionaries, and tuples, leveraging them to solve Data Science problems.
- In this interactive Power BI course, you’ll learn how to use Power Query Editor to transform and shape your data to be ready for analysis.
- Predict housing prices and ad click-through rate by implementing, analyzing, and interpreting regression analysis in R.
- Learn powerful command-line skills to download, process, and transform data, including machine learning pipeline.
- Begin your journey with Scala, a popular language for scalable applications and data engineering infrastructure.
- Learn how to design and implement triggers in SQL Server using real-world examples.
- 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.
- Learn to write SQL queries to calculate key metrics that businesses use to measure performance.
- 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.
