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Data Science (Short Course)

viaGeneral Assembly
4.67 Rating
Difficulty
Beginner
Cost
$4,500
Format
Instructor Led
Delivery
Online
Time Commitment
10 weeks 10 hrs/week

Summary

General Assembly's Data Science Short Course empowers learners to create predictive models using statistics and Python. Delivered both in-person and online, this course builds confidence in tackling machine learning challenges. Participants engage in hands-on activities within a virtual classroom setting, enhancing their practical skills and professional credibility.

  • Before You Learn / Who This Course Is For
    • Ideal for aspiring data scientists and analysts

    • Open to technical and non-technical backgrounds

    • No prerequisites required

  • What to Expect
    • In-person and online virtual classroom options

    • Hands-on activities with Python and statistics

    • Expert-led instruction on predictive modeling

  • What You'll Achieve
    • Develop predictive modeling skills

    • Gain practical experience with Python

    • Enhance career opportunities in machine learning

Certifications covered by this course

No certifications are covered by this course.

Course Reviews

4.67 rating (3 reviews)
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C

CDLacey

Graduate 2021

December 15, 2021
Part-Time Data Science Course

This course was really great to learn about the different applications of leveraging python for data science. I really enjoyed the two part presentation (apply learning to a dataset of your choice - presenting your analysis at two points during the course.)Definitely gave me confidence to continuing learning in this field.Overall, course is great for anyone currently doing some degree of analytical work and who would like to expand their skill set.

L

Lee S-K

Graduate 2019

January 16, 2019
Data Science (Part Time)

The part-time data science course was a fantastic crash course in data science with Python.  Ben did an amazing job taking us through all of the different parts of the machine learning process (after reviewing the Python basics to get us ready to work through all of it), and we then were able to get the practical experience of putting together our own projects and presenting them in front of the class, which was invaluable.  The course was structured very well, as each bit of information built on top of the last.  I would happily recommend this course to anyone who wants to learn data science and can't commit to a boot camp! 

T

tlinkner

Student 2018

March 26, 2018
Drinking from the firehose

An incredible (and practical) introduction to data science. I wish college courses were like this. It was so much information. Since we applied everything we learned I got a lot out of this class and can do a lot more than I expected I would with only 60 hours of class time. For me, pre work and homework too about double the estimated time but it was definitely worth the effort. Those with prior experience in either statistics or programming will have a leg up, but it's not necessary to get started. 

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