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.

Learn time series forecasting with Prophet. Explore how to model and predict future values using Prophet's easy-to-use algorithm, ideal for business forecasting, financial analysis, and planning in fields such as sales and energy consumption.

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.

Clustering is a type of machine learning that is used to group similar items into clusters.

Deep learning is an advanced form of machine learning that emulates the way the human brain learns through networks of connected neurons.