Online Data Science and Analytics Bootcamp

Start Your IT Career Today with QuickStart's Data Science & Analytics Bootcamp!

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Bootcamp Graduates Can Work for Top Technology Companies


 
 
 
Your Lifestyle

Your Lifestyle

Easily balance coursework with your academic and professional priorities.

Your Schedule

Your Schedule

Flexible training hours allow you to set your own learning pace.

Your Future

Your Future

Advance your IT career in data science and analytics knowing you’ve been well-prepared.

 
 
 

How the Data Science & Analytics Bootcamp works


QuickStart's Data Science & Analytics Bootcamp prepares students for successful IT careers. We pride ourselves on helping students achieve their career goals by teaching them in-demand skills and technologies. ​



Portfolio
Building

Real-World
Projects & Labs

On-Demand
Mentoring

Learn Data Science & Analytics

Earn Certifications

Start Your New Career

Learn Python, Power BI, Microsoft Excel and Machine Learning Fundamentals

Prepare for the Microsoft PL-300, AZ-900, DP-100 and DP-900 exams.​

Jumpstart your Data Science & Analytics career with QuickStart’s job placement services.

 
 
 

What Our Students Say


"Classes Well Structured..."

"This course is perfect for anyone trying to scale up in the industry. The classes are well structured and helped me in preparing for my DASCA certification exams.​ For me, this course was worth every penny, and I am pleased with its versatility. We were able to touch on neural networks with Keras and TF2. ​It further boosted my confidence in having a firm data science and analytics foundation and rekindled my desire to learn.​ I enjoyed my time here and will recommend it to anybody interested in learning more about data science and analytics."

- Michael


"So Professional..."

"I enrolled myself in September for the Data Science and Analytics Bootcamp. From the beginning I was given great support by my Academic Advisor(Harris) who walked me through the dashboard and some really great features it had. The course content was self-explanatory and having no background in coding I was a bit scared in the beginning but with the help of my mentor I was able to learn quickly. Though there was a rough patch initially, but everything worked out for the best because of the quick responsiveness of the support staff. The sessions provided hands-on ​learning experience with an industry expert who guided us throughout the journey. I am really pleased and would recommend people to enroll for this bootcamp if they are looking for a career enhancement/change."

- Ethan

 
 
 

Data Science & Analytics Bootcamp Learning Experience


 
 
 

1

Learn with Capstone Projects

2

Mentoring Sessions

3

Job Services

Quickstart works with industry experts, hiring managers, and data science and analytics professionals to curate up-to-date curriculum. Your portfolio will be a collection of in-demand skills and proficiencies. ​

Get two live mentoring sessions totaling 4 hours a week. ​

QuickStart's job placement services will help you with resume building, mock interviews, and internship/job opportunities.

 
 

Choose Your Learning Track


Program Features

Immersive Data Science & Analytics Bootcamp

Flex Data Science & Analytics Bootcamp

Duration Immersive and flex bootcamps are 28 weeks long. 28 weeks 28 weeks
Mentor-led Sessions Meet live with your mentor for guidance, discussion and deeper learning. 2hr session, 2x per week 2hr session, 1x a week
Capstone projects Capstone projects will demonstrate the skills and knowledge you learned throughout bootcamp.
Career support QuickStart's job placement services help Bootcamp graduates find a job in the Data Science & Analytics Field. A career counselor will help you with resume building, mock interviews, and internships and job opportunities. 12 months' access 12 months' access
Hands-on labs Hands-on labs sharpen your skills and prepare you for real world scenarios.
Annual course access With any learning track, students have 12 months’ access to 100+ courses.
$7,900* *Pre pay pricing $5,900* *Pre pay pricing
Explore Pricing Options Explore Pricing Options
 
 

Admissions Process


1. Submit your application

Get started with QuickStart's career assessment. It only takes 5 minutes, and there’s no fee! QuickStart's Admissions Board will review it and contact you as soon as possible. Click get started below.

2. Interview with an Admissions Director

You’ll interview with an Admissions Director to make sure Data Science & Analytics Bootcamp is the right fit. Payment options and career goals will also be covered, as well as any other questions or concerns you have.

3. Pre-course work

Upon enrollment, you will receive non-required pre-course work to get a head start on your learning.

4. Start Bootcamp

Begin learning new skills in University of California, Santa BarbaraContinuing Education's Data Science & Analytics Bootcamp.

 
 
 

Job Placement Services

Flexible Payment Options

Real World Projects

Hands-On Labs

 
 
 

QuickStart Career Services


The data science & analytics bootcamp equips you with the necessary skills for an entry-level job in data science & analytics. QuickStart’s career services include resume building, mentoring and mock job interview sessions to help prepare you in finding your first job and kickstarting your IT career in data science & analytics.


My career advisor is really helpful. He replies to the emails quickly, tries to understand the issues and helps in resolving that as soon as possible. Overall this bootcamp is really good and is a great step for beginners to learn... Deepa, CourseReport.com

Career Counseling

Get four, 30-minute sessions with a career counselor.

Get four, 30-minute sessions with a career counselor.

Interview Prep

QuickStart further prepares you for a successful data science & analytics career with mock interviews.

QuickStart further prepares you for a successful data science & analytics career with mock interviews.

Resume Building

Build your data science & analytics resume with the help of QuickStart's career counselors.

Build your data science & analytics resume with the help of QuickStart's career counselors.

 
 
 

Boost Your Earnings And Advance Your Career


Here are some potential data science and data analytics roles and salaries, according to location.

Emily Yang's Journey Through Data Science and Analytics

Check out Emily Yang’s Data Science and Analytics Bootcamp journey.

My Career Before BootCamp

"Before I enrolled in Data Science and Analytics Bootcamp, I was in entry level IT. The job was okay, but I had higher aspirations."

Finding Data Science and Analytics Bootcamp

"I reached out to an Admissions Advisor, who helped me narrow down which bootcamp and learning track was best for my learning and career goals.]."

Career-Advancing Education

"The hands-on labs and capstone projects taught me in-demand skills and proficiencies, and the mentoring sessions were super helpful. The real-world insight and advice I received from qualified mentors helped me stand out among my peers."

My New Career

"With University of California, Santa BarbaraContinuing Education's job placement services, I found a new job as a data science and analytics researcher! I’m more passionate about the work I do, in addition to making more money than at my previous job. "

 
 
 

Data Science & Analytics Bootcamp Course Overview


You will learn the fundamentals of data science, principles of machine learning, python programming, data analytics and data visualization. You will also prepare for top industry certifications. No college degree or experience is needed.
According to the Bureau of Labor Statistics, there will be a 27.9% increase in job opportunities through 2026 because of the growing demand for skills linked to data science. Take advantage of this rich job market with QuickStart's Data Science and Analytics Bootcamp. Even if you have no prior experience, our bootcamp will prepare you for a successful career in data science or data analytics. ​


Data Science & Analytics
  • What is Data Science?
    Go into the history of data science and its uses.
  • Data Analysis Fundamentals
    Go over concepts such as accuracy, precision, as well as confidence, correlation, and causation.
  • An Introduction to Statistics
    Continuation of the previous lectures, this time explaining the math behind the aforementioned concepts.
  • Introduction to Machine Learning
    History of machine learning, current applications, and basic models the students should know.
Introduction to Mathematics for Data Science
  • The Normal Distribution & standard deviation
    The theory and application of The Normal Distribution & standard deviation.
  • Confidence Intervals & P-values
    The theory and application of Confidence Intervals & P-values.
  • Derivatives & Integrals --> Cumulative vs Density Distribution
    The theory and application of Derivatives & Integrals. Rules of derivation and integrations such as chain rules, etc.
  • Cumulative Distributions
    The theory and application of Derivatives & Integrals Cumulative Distributions.
  • Correlations --> R^2 value, Pearson coefficient
    The theory and application of Correlations, different metrics to measure correlation for different types of data. Emphasize the difference between correlation and causation.
  • Outlier Removal
    The application of standard deviation, visualizations, and other metrics to determine what is and what is not an outlier.
  • Linear Algebra: Vectors & Matrices
    Linear Algebra basics, different matrix operations eg. dot product. We're also going to go over eigenvalues and their properties.
Analyzing and Visualizing Data with Excel
  • How to use Excel: Cells, formulas & Diagrams
    How to use Excel functions
  • Diagrams
    Scatter Plots, Bar Plots, Error Bars etc. What is needed in a good & complete diagram?
  • Importing & Exporting data
    What format does your data need to have, what are the differences between them etc.
  • Advanced functions & Data Processing
    These are things such as outlier removal, normalization, and dealing with sparse data.
  • The Line of Best Fit
    Learn why this concept is important, how it works, and the ways you can find and use it.
Analyzing and Visualizing Data with Power BI

You will connect, import, shape, and transform data for business intelligence using Power BI, as well as write and publish reports using Power BI Desktop. You will also create and share dashboards with business users on the web and through mobile.

Download Full Syllabus
 
 
 

Data Science & Analytics Technologies



This bootcamp prepares you to use these top technologies in data science & data analytics.


 
 
 

Learn From The Best Instructors



Our instructors have years of experience in information technology, and will help guide you to completing your data science & analytics certification with ease.

 
 
 

University of California, Santa Barbara Continuing Education Bootcamp FAQs

The University of Texas at Austin Bootcamp FAQs


 
 
 
What kind of bootcamps do you offer?

We offer cybersecurity, web development, data science & analytics, cloud engineering, and AI/ML bootcamps for immersive and flex learning tracks.

We offer cloud engineering and AI/ML bootcamps for immersive, flex, and self-paced learning tracks.

Do I have to stop working or studying if I join bootcamp?

No, our flexible training hours allow you to easily balance academic and professional priorities with bootcamp.

How much does the QuickStart bootcamp cost?

Immersive bootcamps are $7,900 and flex bootcamps are $5,900. We offer a pre pay payment method or a variety of monthly installment options to cover the bootcamp cost.

Immersive bootcamps are $7,900 and flex bootcamps are $4,100. We offer a pre pay payment method or a variety of monthly installment options to cover the bootcamp cost.

How long does the bootcamp take to complete?

On average, flex and immersive bootcamps take about 6-9 months to complete.

Do you offer scholarships?

Yes! We offer scholarships through QuickStart, Inc. Each application will be reviewed independently through our dedicated team at QuickStart. Bootcamp scholarships are not offered through University of California, Santa BarbaraThe University of Texas at AustinContinuing Education.

Are there any prerequisites?

Recommended prerequisites vary based on the bootcamp, but most commonly are basic programming, IT, and MS Excel skills.

Can I get a job in IT after graduating bootcamp?

Yes, our bootcamps prepare you for an entry-level job in IT. Additionally, our job placement services can help you find a job!

How many mentoring sessions are there?

Flex bootcamps offer 1 hour mentoring sessions once per week, and immersive bootcamps offer 2 hour mentoring sessions twice per week.

Do you offer career counseling?

Yes, our career counselors will help you with resume building, mock interviews, and internship/job opportunities.

What is the refund policy?

In order to cancel enrollment and apply for a refund, you must notify a financial counselor and academic advisor in writing through an email. You will only receive a full tuition refund up to 7 days before the course start date. Deposits are non-refundable 6 days or fewer before the course start date. Once the course start date passes, you will be responsible for all tuition fees.

What are the system requirements for this bootcamp?

Students are required to have a computer operating system with Windows to access training labs. The current lab environment does not support the Apple M1 chip.



 
 
 
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