Build In-Demand Skills for a Career in Data and Technology
MIM’s Data Analytics Bootcamp provides practical training in data analysis, programming, machine learning, and artificial intelligence. The program is designed to help students develop the technical and analytical skills needed to pursue opportunities in technology, financial technology, business intelligence, and other data-driven industries.
San Diego Workforce Approved Program
Program Information
Tuition: $6,000
Application Fee: $200
Core Program Length: 13 weeks
Total Core Program Hours: 390 hours
15 hours Class / Theory / 15 Week Lab
Tuesday ~ Thursday 5:pm to 10:pm Via Zoom
Optional Preparation Course: 2 weeks, 80 additional hours
Program start and end dates:
Data Analytics Dates 2027
Start Jan 5th 2027 End March 4th 2027
Start Mar 16th 2027 End May 27th 2027
Start Jun 1st 2027 End August 26th 2027
Start Sep 7th 2027 End Nov 18th 2028
Start Building Your Data Analytics Career
Through instructor-led classes, practical exercises, and project-based learning, students gain experience using industry-relevant tools and techniques to solve real-world data problems.
Students will have the opportunity to:
- Earn a Data Analytics Certificate
- Develop practical skills in Python and R
- Analyze and visualize complex datasets
- Apply mathematical and statistical techniques
- Explore machine learning and artificial intelligence
- Build and evaluate predictive models
- Design data-driven solutions for real-world business challenges
- Strengthen their professional portfolio through applied projects
What You Will Learn
The Data Analytics Bootcamp provides a foundation in the essential concepts and methods used in data science, machine learning, and artificial intelligence.
The curriculum focuses on:
- Data collection, preparation, and cleaning
- Exploratory data analysis
- Statistical and mathematical methods
- Python and R programming
- Data visualization and reporting
- Machine learning fundamentals
- Artificial intelligence algorithms
- Predictive model development
- Data science APIs and frameworks
- Big Data and IT architecture concepts
- Model implementation, evaluation, and monitoring
- Solving practical business and technology problems with data
Program Goals
By completing the program, students should be able to:
- Strengthen the applied mathematics and programming skills used in data science and artificial intelligence
- Understand fundamental machine learning and AI algorithms
- Analyze data and communicate meaningful findings
- Design and implement data analytics solutions
- Evaluate and monitor analytical models
- Understand key concepts related to IT and Big Data architectures
- Apply data science tools and frameworks to practical projects
Program Structure
Optional Preparation Course
Students who need additional preparation may complete a two-week, 80-hour introductory course before beginning the core bootcamp.
The preparation course may include foundational instruction in:
- Mathematics and statistics
- Basic programming concepts
- Python fundamentals
- Data terminology
- Analytical problem-solving
13-Week Core Program
The core academic program includes 390 hours of classroom instruction and supervised project work. Students should also expect to complete assignments, readings, and additional practice outside scheduled class hours.
Earn Your Data Analytics Certificate
Students who successfully complete the program requirements will receive a Data Analytics Certificate from MIM.
Take the next step toward developing the technical, analytical, and problem-solving skills needed in today’s data-driven workplace.