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Emerson College Data Analytics Boot Camp

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About Emerson College Data Analytics Boot Camp

Location: Online

Emerson College Data Analytics Boot Camp is a 24-week, part-time, data analytics course. The data curriculum includes programming in Excel, Python, R programming, JavaScript charting, HTML/CSS, API interactions, SQL, Tableau, fundamental statistics, machine... Read More

Applicants do not need programming experience to enroll, but once admitted, all students will complete a pre-course tutorial. As the programs are part-time, Emerson College Data Analytics Boot Camp is designed for working professionals and students who are actively pursuing a career change, advancement, or looking to gain a new skill set.

Throughout the boot camp, students have access to career-planning services, portfolio reviews, demo days, and 1:1 career coaching. Students have access to a dedicated profile coach and career director that works with them throughout the program and prepare them to be employer competitive. Graduates will receive a non-credit Certificate of Completion from Emerson College and will have a portfolio of projects demonstrating a working knowledge of data analytics.

Emerson College Data Analytics Boot Camp is offered in collaboration with Trilogy Education Services, a 2U, Inc. brand.

Courses

Part-Time, Data Analytics Boot Camp

Cost: $11,995
Duration: 24 weeks
Locations: Online
Course Description:

This boot camp is rigorous, fast-paced, and focused on the practical technical skills needed to analyze and solve data problems. Gain proficiency in a broad array of technologies like Excel, Python and R programming, JavaScript charting, SQL databases, Tableau, machine learning, and more. Throughout the boot camp, you will complete projects using real data sets from the worlds of finance, healthcare, government, social welfare, and more — allowing you to build a strong portfolio with a professional demonstration of mastery.

Subjects:
CSS, HTML, MongoDB, PostgreSQL, Python, Machine Learning, Data Analytics, Hadoop, JavaScript, Data Visualization, Data Science, Excel

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