A straightforward introduction to big data concepts, focusing on Hadoop and streaming technologies for data processing and analysis.

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Learn to analyze data over time with this practical course on Time Series Analysis in Power BI. Work with real datasets & practice common techniques.

Learn the core techniques necessary to extract meaningful insights from time series data.

In this course, you’ll learn to classify, treat and analyze time series; an absolute must, if you’re serious about stepping up as an analytics professional.

Gain the ability to analyze and visualize time series data using Python.

Gain the ability to analyze and visualize time series data using Python.

The term “Computation” refers to the action performed by a computer. A computation can be a basic operation and it can also be a sophisticated computer simulation requiring a large amount of data and substantial resources. This course aims at introducing learners with no prior knowledge to the basic key concepts of computer science. By following the lectures and exercises of this course, you will gain an understanding of algorithms by programming using the language Ruby.

Learn how to use MLflow for model tracking when experimenting in notebooks.

Learn how to track model training with MLflow in jobs when running scripts.

Machine learning involves using data to train a predictive model. Azure Databricks support multiple commonly used machine learning frameworks that you can use to train models.

Classification is a kind of machine learning used to categorize items into classes.