Data Science
- Difficulty
- Beginner
- Cost
- $4,000
- Format
- Instructor Led
- Delivery
- Online
- Time Commitment
- 20 weeks 1 hr/week
Summary
SoyHenry's Data Science Career course is an immersive, online program designed to equip learners with essential data science skills. Delivered through live, project-based sessions, this course covers key topics such as data analysis, machine learning, and statistical modeling. Participants will engage in hands-on projects, gaining practical experience and building a robust portfolio to showcase their newfound expertise.
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Before You Learn / Who This Course Is For
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Aimed at aspiring data scientists and analysts
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No prerequisites; open to all backgrounds
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Ideal for career changers and tech enthusiasts
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What to Expect
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Live, instructor-led online sessions with real-time feedback
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Hands-on projects using industry-standard tools
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Collaborative learning with peer interaction
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What You'll Achieve
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Certificate of completion from SoyHenry
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Proficiency in data analysis and machine learning
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Portfolio showcasing project work and skills
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Topics included
Course Reviews
Anonymous
Graduate 2022
Data Science Bootcamp
A good and structured course with many links and additional material to deep dive in the topic exposed at the moment. The course is follow by clear and defined part of the Data lifecycle. So you can feel the whole experience about how the a single piece of data travel for many steps before reach the final goal that is being used to take accurate decisions.
Joan Godoy
Graduate 2022
Data Science
Muy buena experiencia, quedan cosas por pulir ya que fuimos la primera cohorte. Pero el objetivo se cumplió.
Daniel
Student 2022
Great option in Latin America
I heard Henry in Medellin, where a Didi driver told me he completed the Full Stack course. I was looking for a Data BootCamp, so when a friend told me Henry was opening one, I didn't think twice and enrolled. I'm very happy to have completed it, I think I have learned enough to start my new career and they also helped me find a job. I am extremely pleased