allWomen Data Science Immersive
In This Report:
Data Science Immersive Skills
The allWomen Data Science Immersive course teaches the following skills.
| Skill |
|---|
| Data Science |
| Data Visualization |
| Data Analytics |
| Data Structures |
| Algorithms |
| Artificial Intelligence |
| Python |
| Machine Learning |
allWomen Data Science Immersive Locations
allWomen offers bootcamps in 1 different cities.
| Location | This Course | Location Overall |
|---|---|---|
| Barcelona |
Data Science Immersive Admissions
The allWomen Data Science Immersive bootcamp is meant for a beginner. Consider the following admissions requirements.
The following are some other admissions-related factors to look into that we were not sure about.
| Admission Factor | Details | |
|---|---|---|
| Prior Experience |
Data Science Immersive Cost
The allWomen Data Science Immersive bootcamp costs $6,950.. The program offers the following cost-related benefits.
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 |
allWomen Data Science Immersive Ratings
5 total reviews were submitted by allWomen students who gave the Data Science Immersive Bootcamp an overall rating of 5.0 out of 5.0 stars.
The following is an overview of the allWomen ratings we have aggregated from around the web to help make your search easier.
| Source | Rating | Reviews |
|---|---|---|
| Course Report | 5.0 / 5.0 | 5 |
Rating Factor Breakdown
Reviewers gave the following ratings on various aspects of the programs.
| Factor | Rating |
|---|---|
| Overall Experience | |
| Instructors | |
| Curriculum | |
| Job Assistance |
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.
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