NYC Data Science Academy Introductory Python (Evenings)
In This Report:
Introductory Python (Evenings) Skills
The NYC Data Science Academy Introductory Python (Evenings) course teaches the following skills.
Skill |
---|
MySQL |
Data Science |
Data Visualization |
Data Analytics |
Data Structures |
Algorithms |
Python |
NYC Data Science Academy Introductory Python (Evenings) Locations
NYC Data Science Academy offers bootcamps in 1 different cities.
Location | This Course | Location Overall |
---|---|---|
New York City |
Introductory Python (Evenings) Admissions
The following are some other admissions-related factors to look into that we were not sure about.
Admission Factor | Details | |
---|---|---|
Entry Test | No | |
Prior Experience |
Introductory Python (Evenings) Cost
The NYC Data Science Academy Introductory Python (Evenings) bootcamp costs $1,590..
The following are some other cost-related factors to consider that they either do not offer or we were not sure about.
Cost Factor | Details | |
---|---|---|
Deposit | ||
Financing | ||
Living Stipend | ||
Payment Plan | ||
Cost Deferral | ||
Income Sharing Agreement (ISA) | ||
Trial Period | ||
Scholarship |
NYC Data Science Academy Introductory Python (Evenings) Ratings
7 total reviews were submitted by NYC Data Science Academy students who gave the Introductory Python (Evenings) Bootcamp an overall rating of 5.0 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 | 5.0 / 5.0 | 7 |
Rating Factor Breakdown
Reviewers gave the following ratings on various aspects of the programs.
Factor | Rating |
---|---|
Overall Experience | |
Instructors | |
Curriculum |
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.