allWomen Data Science Part Time
6 Months
at 12 Hours / Week
In This Report:
Data Science Part Time Skills
The allWomen Data Science Part Time course teaches the following skills.
Skill |
---|
Data Science |
Data Visualization |
Data Analytics |
Algorithms |
Business Intelligence |
Artificial Intelligence |
Python |
Machine Learning |
GitHub |
allWomen Data Science Part Time Locations
No
Offered Online
1
Cities
allWomen offers bootcamps in 1 different cities.
Location | This Course | Location Overall |
---|---|---|
Barcelona |
Data Science Part Time Admissions
Beginner
The allWomen Data Science Part Time bootcamp is meant for a beginner. Consider the following admissions requirements.
Prerequisites
We have a mandatory and guided 2 week pre-work to ensure an equal level from all students since the first day.
Entry Test
Yes
Interview
Yes
The following are some other admissions-related factors to look into that we were not sure about.
Admission Factor | Details | |
---|---|---|
Prior Experience |
Data Science Part Time Cost
$6,950
Course Cost (USD)
The allWomen Data Science Part Time bootcamp costs $6,950.. The program offers the following cost-related benefits.
Financing
We believe that finances should not be an obstacle to follow your dreams and study something that will change your career! We partnered with a local bank to offer you great financial conditions.
Scholarship
We continuously work to obtain corporate and governmental help to give access to more women to tech. Sometimes we offer scholarships but cannot guarantee that we offer them for all editions.
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 | ||
Living Stipend | ||
Payment Plan | ||
Cost Deferral | ||
Income Sharing Agreement (ISA) | ||
Trial Period |
Contact allWomen
Check out some of the following resources for more information about allWomen.
Resource | Info | ||
---|---|---|---|
Website | allwomen.tech | ||
[email protected] | |||
Social |
References
More about our data sources and methodologies.