The Dev Masters Mastering Applied Data Science with Deep Learning
4 Months
at <nil> Hours / Week
In This Report:
Mastering Applied Data Science with Deep Learning Skills
The The Dev Masters Mastering Applied Data Science with Deep Learning course teaches the following skills.
Skill |
---|
MySQL |
Data Science |
Data Visualization |
Spark |
Data Analytics |
Data Structures |
Algorithms |
Business Intelligence |
Artificial Intelligence |
SQL |
Python |
Machine Learning |
Microsoft Visio |
The Dev Masters Mastering Applied Data Science with Deep Learning Locations
No
Offered Online
2
Cities
The Dev Masters offers bootcamps in 2 different cities.
Location | This Course | Location Overall |
---|---|---|
Irvine | ||
Los Angeles |
Mastering Applied Data Science with Deep Learning Admissions
Prerequisites
There is a detailed Pre-Work available for those who do not have a programming or a statistical background. We would like for upcoming students to all be on the same expectations & level upon coming into the first day.
The following are some other admissions-related factors to look into that we were not sure about.
Admission Factor | Details | |
---|---|---|
Entry Test | No | |
Interview | No | |
Prior Experience |
Mastering Applied Data Science with Deep Learning Cost
$14,995
Course Cost (USD)
The The Dev Masters Mastering Applied Data Science with Deep Learning bootcamp costs $14,995.. The program offers the following cost-related benefits.
Financing
No interest payment plans.
Scholarship
Apply with Program Coordinator.
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 The Dev Masters
Check out some of the following resources for more information about The Dev Masters.
Resource | Info | ||
---|---|---|---|
Website | thedevmasters.com | ||
[email protected] | |||
Social |
References
More about our data sources and methodologies.