Data Science, Boot Camp
Program Overview
The UNC Charlotte Data Science Bootcamp Certificate program, powered by Flatiron School, offers a comprehensive curriculum to prepare you for a career in data science. Master Python, machine learning, and data visualization tools, and gain hands-on experience solving real-world challenges with data. Learn to analyze, interpret, and present data to drive meaningful insights for businesses.
Taught by experienced data science professionals, this program offers a personalized learning experience tailored to your career goals. With a curriculum aligned to industry standards, you’ll gain the skills and confidence to excel in the fast-growing field of data science.
This comprehensive program equips you with the skills to excel in the growing field of data science.
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Immerse yourself in the world of data.
This comprehensive bootcamp program covers everything from the foundational principles of data analysis to the advanced tools and techniques used by top data scientists. You’ll learn Python, SQL, and data visualization before diving into more complex areas like machine learning, big data processing, and AI. With a strong emphasis on hands-on learning, you’ll apply your skills to real-world problems, culminating in a capstone project that demonstrates your readiness for the professional world.
The Charlotte x Flatiron School difference:
- Be mentored by a world-class data scientist
- Career services built-in
- No prior experience necessary
Data Science Essentials
9 weeks
Introduction to Python – 3 weeks
- Apply the basics of programming language methodologies to real world scenarios
- Demonstrate foundational skills for scripting with a programming language, python
Introduction to Data Science – 3 weeks
- Implement foundational statistical measurement with data using scripting
- Demonstrate gathering insights from data with visualizations
- Integrate object oriented programming (OOP) with Python for data cleaning and analysis
Introduction to SQL – 3 weeks
- Utilize industry standard techniques to analyze data with, programming language (python), structured query language (SQL), and the cloud.
- Explore and manipulate data with mathematics, probability, and statistics
- Analyze data for a business problem with visualizations with a dashboard
Data Science Foundations I
9 weeks
Cloud Computing, Generative AI, & Dashboards – 3 weeks
- Create a dashboard using data science methodologies with industry standard tool(s)
- Model exploratory data analysis with tools for multiple data sets. (SQL and SQL table relations)
- Utilize programming techniques to process large data samples with (PySpark and Big Data)
Inferential Statistics – 3 weeks
- Integrate statistical inference of data using the technical programming
- Implement methodologies for statistical inference
- Utilize mathematics, statistics, & probability for data science methodologies to derive insights
Regression – 3 weeks
- Perform logistic regression with data sets using programming techniques, lasso and ridge.
- Compare statistical results for different types of regression with data sets, linear, transformations of linear, and multiple linear regressions
- Utilize mathematics, statistics, & probability for data science methodologies to derive insights
Data Science Foundations II
12 weeks
Introduction to Machine Learning – 3 weeks
- Utilize foundational machine learning modeling like decision trees and supervised learning
- Prepare data for machine learning modeling with preprocessing (feature extraction) and normalization
- Utilize mathematics, statistics, & probability for data science methodologies to derive insights
Machine Learning with Scikit-Learn – 3 weeks
- Utilize foundational machine learning modeling like decision trees and supervised learning
- Prepare data for machine learning modeling with preprocessing (feature extraction) and normalization
- Integrate mathematics, statistics, & probability for data science methodologies to derive insights
Natural Language Processing, Time Series & Neural Networks – 3 weeks
- Develop insights from language, time, and image data using neural networks and Natural Language Processing (NLP)
- Integrate mathematics, statistics, & probability for data science methodologies to derive insights
Neural Networks and Similar Models – 3 weeks
- Create an advanced neural network application
- Integrate mathematics, statistics, & probability for data science methodologies to derive insights
Data Science Capstone
Data Science Capstone – 15 weeks
- Integrate data science process using at least one method of regression
- Integrate data science process using at least one method of non-regression supervised learning
- Integrate data science process at least one method of non-regression unsupervised learning
Tuition
Upfront: $15,000
Pay as You Go: $16,000 / 12 monthly payments of $1,334
Financed Tuition: $16,500
Have questions? Talk with a Flatiron School representative.
You should apply if…
You’re a data professional and want to further your career by gaining a new set of technical skills.
You’re looking to switch careers and aspire to transition into a new field as a data professional.
You’re currently in a business where data is crucial to the bottom line and want to make a bigger impact.
Benefits of UNC Charlotte’s partnership with Flatiron School:
- Personalized job-focused training & career services
- Small class sizes (max 5 students)
- Weekly calls with your mentor + recorded video critiques
- Supportive and active community of peers, alumni, and mentors
- Flexible schedules and 100% online, study from anywhere!
FAQ
What is Data Science?
Data science is the process of examining, cleaning, transforming, and modeling data to uncover insights and support decision-making, often using statistical and computational techniques.
What Data Science skills will I learn?
Throughout this data analytics boot camp, you’ll gain fundamental statistics skills and study topics such as Python programming, various databases, front-end web visualization, and business intelligence software.
What types of jobs can this program prepare me for?
Some common data analytics roles include data analysts, data scientists, business analysts, data engineers, machine learning engineers, and data architects.
Will I earn a certificate or credentials when I complete the boot camp program?
Upon completion of the program, students will receive a certificate and digital badge. Digital badges can be used in email signatures or digital resumes, and certificates can be displayed on portfolio websites and social media sites such as LinkedIn, Facebook, and Twitter.
Contact Us
From Petroleum Engineer to Tech
Micah Mosley transitioned careers during the pandemic with the help of Flatiron School’s John Stanley Ford Fellowship. Enrolling in Flatiron’s coding bootcamp and leveraging the fellowship’s mentorship, networking, and apprenticeship at Citi, he successfully launched his new career. Now based in North Carolina and working for Google, Micah credits the program’s resources and support for helping him achieve this transformative career shift.