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Learn MoreA rigorous 26-week non-credit data science bootcamp program that starts with foundational concepts and gradually moves towards platform-specific Big Data skills.
You're one click away from launching your Data Science career
QuickStart, an online IT certification courses and training provider, works in conjunction with CSU Pueblo Extended Studies to offer non-credit, certificate bearing programs. This collaborative effort has resulted in the creation of hands-on, career-relevant learning experiences. Enroll and learn from a team of highly recognized experts.
Set your own schedule to learn the most in-demand tech skills including Cybersecurity, Data Science, Data Analytics, and Web Development.
Learn skills that matter in the real world with practical projects. Demonstrate your learning by building out prototypes of different web-based solutions.
Talk to a leading IT expert twice a week for advice and mentorship. Develop a firm understanding of core IT concepts and the practical skills.
Graduates can choose from a Job Assistance or IT consultation training once they successfully complete their bootcamp.
Graduates receive a Certificate of Completion from Colorado State University Extend Studies.
*These are non-credit bootcamp programs, therefore the training hours cannot be credited in any of the degree programs offered by CSUP.
Choose from installment or one-time (highly discounted) plans. Scholarships are also available.
Starts with foundational concepts and gradually moves towards platform-specific Big Data skills. Learn data visualization, Azure HDInsight, Spark, Machine Learning, R Programming, Python, Predictive Analysis, Power BI, Excel, and Transact-SQL.
in Weeks
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5 - 6
6 - 7
8 - 9
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11 -12
13 - 14
15 - 16
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18 - 19
20 - 21
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25 - 26
27 - 28
NOTE: Windows Operating System would be required to use some of the tools included in the Program.
Data Visualization - Ability to quickly analyze issues and create data-driven solutions
Azure HDInsight - Learn the fundamentals of Azure and manage resources on Cloud
Spark - Process and analyze a large amount of data using Spark
Machine Learning - Familiarize yourself with the core mathematical concepts used in Machine Learning
R Programming - Gain hands-on knowledge of coding in R
Python - Gain hands-on knowledge of coding in Python
Predictive Analysis - Understand research techniques and their application to data science
Power BI - Ability to quickly analyze issues and create data-driven solutions
Excel - Learn statistical and data-mining techniques using Excel
Transact-SQL - Learn to manipulate large datasets and traditional (relational) datasets
Every modern organization generates data on a massive scale. Data Scientists are specialists that study and analyze this data to generate actionable insights. By training to be a Data Scientist, you can shape the future of businesses and even industries.
From startups to large enterprises, every firm has a high demand for data science skills. Some potential roles that you can aim for once you have successfully completed this training.
Expected earning potential in these roles is $60K to $140K. (Source: payscale.com)
Data Science Instructor
Results-oriented Data Scientist with 7+ years’ experience in Machine Learning, Artificial Intelligence, Cloud Computing, and Big Data Platforms. 11+ years of experience as an Analytics Professional. 4+ years of consulting experience in the aforementioned areas.
Proven track record of delivering innovative Cloud-Based Machine Learning solutions for both Fortune 500 and start-up companies. Studied at Bioinformatics and Financial Analytics at Stanford University.
Program Features | MOST POPULARMASTER |
SPECIALIST |
SELF-PACED |
UPSKILL |
---|---|---|---|---|
- Duration | 28 weeks | 28 weeks | Self-paced | Self-paced |
- Mentor-led sessions | 2 hrs session, twice a week | 1 hr session, once a week | 5 on-demand classes, 30 mins each | - |
- Hands-on with data tools | ✓ | ✓ | ✓ | ✓ |
- Capstone projects | ✓ | ✓ | - | - |
- Career support | 12-months access | 12-months access | 1 session of 30 mins | - |
- Virtual Labs | ✓ | ✓ | - | - |
- Annual course access | ✓ | ✓ | ✓ | ✓ |
Program Features | MOST POPULARMASTER |
SPECIALIST |
SELF-PACED |
UPSKILL |
---|---|---|---|---|
- Duration | 12 weeks | 12 weeks | Self-paced | Self-paced |
- Mentor-led sessions | 2 hrs session, twice a week | 1 hr session, once a week | 5 on-demand classes, 30 mins each | - |
- Hands-on with data tools | ✓ | ✓ | ✓ | ✓ |
- Capstone projects | ✓ | ✓ | - | - |
- Career support | 12-months access | 12-months access | 1 session of 30 mins | - |
- Virtual Labs | ✓ | ✓ | - | - |
- Annual course access | ✓ | ✓ | ✓ | ✓ |
Fill out a quick career objective assessment that will help our admissions team to make the right career recommendations and programs that aligns with your requirements.
We understand that scholarships can be an enormous help to students who can’t afford our pricing
options. To mitigate this we offer scholarships to qualifying students. Each application is
reviewed on its merits and there are no minimum eligibility requirements.
*Scholarship program is not part of the University System
Talk to one of our education consultants and sign up for the bootcamp.
Watch online content and interact with a mentor for feedback. Mentor sessions are twice-weekly real-time conversations.
At the end of the program, work on a Capstone Project to showcase your practical skills. This serves as a functional portfolio that you can submit with your resume to boost your chances of getting hired in a Data Science role.
Once you are done with the course content and related projects, you are awarded a Certificate of Achievement from CSUP Extended Studies.
After you graduate, our career counselors will continue mentoring you until you secure a full-time Data Science-centric role in a great firm.
Call and discuss your educational plans and career goals to get customized advice.
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