Build Skills to Enable Success
Help your team develop data science and machine learning skills, DevOps practices, and Big Data technologies.
We do not believe in a one-size-fits-all training model that glosses over important details. Instead, we work with you to determine needs and craft a custom training plan for your team. Each of our courses is taught by a knowledgeable expert and seeks to deliver practical knowledge that you can use immediately.
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Data is multidisciplinary.
Oak-Tree can help your team build skills that will enable success. We have deep experience in planning, programming, and building data driven systems; deploying and managing them; and handling complex operations. Using that experience, we can help your organization master data science, analytics, and machine learning skills; become comfortable with the systems that enable Big Data such as databases, NoSQL storages, search platforms, and streaming; and help your developers express complex ideas in code.
Data Science and Analytics.
Data Science is an emerging discipline at the intersection of statistics, analytics, programming, and machine learning.
Programming and Software Development.
Learning to code involves learning a language, mastering new ways of expression, and becoming immersed in a culture. It enables you to express data-driven ideas and accomplish entirely new things.
DevOps (a mashup of "development" and "operations") is the convergence of everything. As companies seek to deliver software more rapidly, DevOps tools and practices can help in that endeavor.
Infrastructure and Big Data.
Data is powered by tools such as databases (MySQL, PostgreSQL, Oracle), NoSQL storages (Cassandra, MongoDB, Neo4j), search engines (ElasticSearch), distributed computational engines (Apache Spark, Dask), and distributed storage (HDFS, Ceph, MinIO). To be successful they must integrate and work in concert.
Modern DevOps with Docker and Kubernetes
Software is remaking the world and containers are remaking how we run and manage software. This course introduces two of the most powerful container technologies -- Docker and Kubernetes -- and how they can be used by software Developers.
Length: 3 Days
Audience: Developers, system architects, technical team leads, systems administrators, and DevOps professionals
Continuous Integration With Docker
From development to deployment, containers significantly improve the way we build systems and applications. This online course introduces containers and Docker, a powerful technology for their management.
Highest rated Docker course on Udemy!
Length: 2.2 hours of video content
Audience: Developers interested in using Docker for software development
Data Science Foundations with Python
In a deeply connected world, data can help us to inform and empower. In this course, you will learn to use the Python programming language to gain insight from your information.
Length: 5 days
Audience: Software engineers seeking to understand analytics and work with data in Python
Apache Spark for Data Analytics
Apache Spark is the computation engine that powers big data. In this course, you will learn how to use Apache Spark to work with data, gain insight using Machine Learning, and analyze streams at scale.
Length: 3 days
Audience: Software engineers seeking to understand Spark and Big data analytics, database professionals looking to add analytics skills in a big data environment
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