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

1

Course 1: Introduction to Data Science

2

Course 2: Analyzing and Visualizing Data with Excel

3

Course 3: Analyzing and Visualizing Data with Power BI

4

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

10

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

17

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

22

Course 11: Developing Big Data Solutions with Azure Machine Learning

23

Course 12: Analyzing Big Data with Microsoft R

24

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
Tuition Plan:

$10,500$6,900

$10,500$6,900

Pay $600 enrollment fee and $2,100 monthly

Pay $250 enrollment fee and $250 - $300 monthly, for 36 months.
View Details

Interest will be 6.9-13.9%

$5,500 $3,200

$5,500$3,500

Pay $500 enrollment fee and $500 monthly

Pay $250 enrollment fee and $250 - $300 monthly, for 26 months.
View Details

Interest will be 6.9-13.9%

$2,900$1,500

$2,900$1,700

Pay $200 enrollment fee and $500 monthly

-

$750 $600

-

-

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
Tuition Plan:

$4,500$3,750

$4,500$3,750

Pay $750 enrollment fee and $1,000 monthly

Pay $250 enrollment fee and $250 - $300 monthly, for 26 months.
View Details

Interest will be 6.9-13.9%

$3,500$2,750

$3,500$2,750

Pay $500 enrollment fee and $1,000 monthly

Pay $250 enrollment fee and $250 - $300 monthly, for 26 months.
View Details

Interest will be 6.9-13.9%

$2,700$1,700

$2,700$1,700

Pay $200 enrollment fee and $500 monthly

-

$750 $600

-

-

 

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.


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