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Our Mission Worldwide and throughout industries and organizations, there is a growing demand for data science skills. Here at Anaconda, our mission has always been to make the art of data science accessible to all.

We help people master the technical obstacles to data analysis, ask better questions of their data, and solve actual, real-world problems. Anaconda Training is ideal for data scientists, financial analysts, IT professionals, or software developers who seek to hone their skills and develop actionable insights. At the conclusion of this course, you will understand the software and networking requirements for installing Anaconda Enterprise on your systems and have gained practical knowledge to implement Anaconda Enterprise and connect to your infrastructure. Conda is a cross-platform package manager.

In this course, you’ll learn how to build and maintain packages in any language, upload them to Anaconda Enterprise, and share them with other users. This hands-on course includes best-practices for Python package creation and management. In this course you'll learn how to create and share projects on Anaconda Enterprise. You’ll access data in multiple formats and connect to big data storage systems like Spark/HIVE and relational databases. You’ll practice ingesting data from multiple sources to make quick visualizations and predictive models to gain insight from the data using the leading data science packages provided by Anaconda. In this course you’ll learn how Anaconda Enterprise provides data scientists with unique abilities to create dashboards with as little as two lines of Python code. You’ll deploy the dashboards with one click and share them with your colleagues.

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This course covers advanced data visualization capabilities of Holoviews and Datashader. In this course you’ll learn how to take the machine learning pipelines developed on your desktop, train them on Anaconda Enterprise using big data sources, and deploy them to the cluster. You’ll gain hands-on knowledge of how Anaconda Enterprise maintains reproducibility of the entire life-cycle of the model from development and training to production. You’ll practice building machine learning pipelines using leading packages provided by Anaconda.