Data Science Bootcamp

A rigorous 26-week non-credit data science bootcamp program that starts with foundational concepts and gradually moves towards platform-specific Big Data skills.

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You're one click away from launching your Data Science career

KICKSTART A REWARDING 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.

Self Paced Learning

Set your own schedule to learn the most in-demand tech skills including Cybersecurity, Data Science, Data Analytics, and Web Development.

Industry-Relevant Projects

Learn skills that matter in the real world with practical projects. Demonstrate your learning by building out prototypes of different web-based solutions.

Expert Mentor Sessions

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.

Post-Graduate Support Program

Graduates can choose from a Job Assistance or IT consultation training once they successfully complete their bootcamp.

Official Certification

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.

Flexible Payment Options

Choose from installment or one-time (highly discounted) plans. Scholarships are also available.

PROGRAM COURSES

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.

Study Plan

in Weeks

Course Name

Course 1: Introduction to Data Science

Course 2: Analyzing and Visualizing Data with Excel

Course 3: Analyzing and Visualizing Data with Power BI

Course 4: Analytics Storytelling for Impact

5 - 6

Project 1: Exploratory Data Analysis

6 - 7

Course 5: Ethics and Law in Data and Analytics

8 - 9

Course 6: Querying Data with Transact SQL

Course 7: Introduction to Python for Data Science

11 -12

Project 2: Data Querying and Cleaning

13 - 14

Course 8: Data Science Research Methods: Python Edition

15 - 16

Project 3: Data Science Research Methods

Course 9: Essential Math for Machine Learning: Python Edition

18 - 19

Course 10: Principles of Machine Learning: Python Edition

20 - 21

Project 4: Machine Learning

Course 11: Developing Big Data Solutions with Azure Machine Learning

Course 12: Analyzing Big Data with Microsoft R

Course 13: Implementing Predictive Analytics with Spark in Azure HDInsight

25 - 26

Capstone Project

BONUS TRACKS TO BE ADDED AFTER BOOTCAMP

27 - 28

Course 14: Introduction to R for Data Science

Course 15: Essential Math for Machine Learning: R Edition

Course 16: Data Science Research Methods: R Edition

Course 17: Principles of Machine Learning: R Edition

NOTE: Windows Operating System would be required to use some of the tools included in the Program.

What Skills You will Learn?

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

Career Prospects in Data Science

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.

Data Scientist
Data Analyst

Data Engineer
Business Insights Analyst

Business Analyst
Data Analytics Engineer

Expected earning potential in these roles is $60K to $140K. (Source: payscale.com)

INDUSTRY EXPERT MENTOR

Dr.Rigoberto Garcia

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.

Choose Learning Tracks Tailored to Your Career Objectives

Program Features	MOST POPULAR MASTER	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 POPULAR MASTER	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	✓	✓	✓	✓

Still not sure which is the right program for you?

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.

Scholarship - Earn as much as 30% reduction in tuition fee

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

How the Bootcamp Program Works

Step 1:

Enroll

Talk to one of our education consultants and sign up for the bootcamp.

Step 2:

Take Courses

Watch online content and interact with a mentor for feedback. Mentor sessions are twice-weekly real-time conversations.

Step 3:

Hands-on Project

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.

Step 4:

Earn a Certificate

Once you are done with the course content and related projects, you are awarded a Certificate of Achievement from CSUP Extended Studies.

Step 5:

Career Couselling

After you graduate, our career counselors will continue mentoring you until you secure a full-time Data Science-centric role in a great firm.

Still have questions? Talk to us!

Call and discuss your educational plans and career goals to get customized advice.

SCHEDULE A CALL

Contact Sales at (888) 715-6384
Contact Support at (855) 465-0685

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