NYC Data Science Academy Bootcamps
In This Report:
NYC Data Science Academy Courses
NYC Data Science Academy offers 10 different courses to choose from.
| Course | Rating | Time | Cost |
|---|---|---|---|
| 12-Weeks In-Person Data Science Bootcamp | 12 weeks (Full-Time) | $17,600 | |
| Big Data with Amazon Cloud, Hadoop/Spark and Docker | 2 weeks | $2,990 | |
| Data Science with Python: Data Analysis and Visualization (Weekend Course) | 6 weeks | $1,590 | |
| Data Science with Python: Machine Learning (Weekend Course) | 5 weeks | $1,990 | |
| Data Science with R: Data Analysis and Visualization (Weekend Course) | 6 weeks | $2,190 | |
| Data Science with R: Machine Learning (Weekend Course) | 6 weeks | $2,990 | |
| Deep Learning with Tensorflow (Weekends and In-Person Only) | 6 weeks | $2,990 | |
| Full-time Online Data Science Bootcamp | 12 weeks (Full-Time) | $17,600 | |
| Introductory Python (Evenings) | 2 weeks | $1,590 | |
| Part-time Online Data Science Bootcamp | 26 weeks | $17,600 |
NYC Data Science Academy Locations
NYC Data Science Academy offers both an online option as well as in-person bootcamps in 1 different cities.
| Location | Rating | Courses |
|---|---|---|
| ONLINE | 6 | |
| New York City | 8 |
NYC Data Science Academy Ratings
216 total reviews were submitted by NYC Data Science Academy students who gave the school an overall rating of 4.9 out of 5.0 stars.
The following is an overview of the NYC Data Science Academy ratings we have aggregated from around the web to help make your search easier.
| Source | Rating | Reviews |
|---|---|---|
| Course Report | 4.9 / 5.0 | 216 |
Rating Factor Breakdown
Reviewers gave the follwing ratings on various aspects of the programs.
| Factor | Rating |
|---|---|
| Overall Experience | |
| Instructors | |
| Curriculum | |
| Job Assistance |
Contact NYC Data Science Academy
Check out some of the following resources for more information about NYC Data Science Academy.
| Resource | Info | ||
|---|---|---|---|
| Website | nycdatascience.com | ||
| [email protected] | |||
| Social |
References
More about our data sources and methodologies.
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