AI+DA Programs

Our AI-Powered Programs & Courses

AI + Data Analytics (AI+DA) Programs: Building Tomorrow's Talent

Our comprehensive AIDA Programs provide immersive learning experiences using industry-standard tools across all age groups and career stages:

AI + Data Analytics for Professionals

Designed for working adults seeking to enhance their career with AI and data analytics skills that drive business value and professional advancement.

AI + Data Analytics for Catalysts

Tailored for early-career individuals looking to differentiate themselves in the job market with cutting-edge AI and data analytics competencies.

AI + Data Analytics for Explorers

For middle and high school students ages, this program builds foundational AI and data literacy skills and introduces early workforce development.

AI-Powered Schools

In a bold move to democratize tech education, Vista Data, Stemi and Infobip have partnered to revolutionize learning in underserved urban communities.

01

Data Literacy with Tableau 3-5 Program Curriculum

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Data Literacy with Tableau 3-5 Program Curriculum

This program introduces elementary school students (ages 8-11) to basic data concepts using Tableau. The curriculum focuses on developing foundational data literacy skills appropriate for young learners, including simple data collection, basic chart reading, and introductory data visualization techniques.

Activities are designed to be engaging and age-appropriate, laying the groundwork for more advanced data skills in later years.

02

Data Analytics with Tableau for 6-8 Program Curriculum

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Data Analytics with Tableau for 6-8 Program Curriculum

Tailored for middle school students (ages 11-14), this program builds on basic data literacy and introduces more complex data analytics concepts using Tableau. Students learn to collect, organize, and analyze data, create various types of visualizations, and begin to interpret data to draw simple conclusions.

The curriculum integrates real-world examples and interactive projects to make data analytics relevant and engaging for this age group. As a capstone project, students develop dashboards and data products for community partner organizations, allowing them to apply their skills to real-world scenarios and make a tangible impact in their community.

This hands-on, project-based approach not only reinforces learning but also introduces students to the practical applications of data analytics in solving local challenges.

03

Data Science with Tableau for 9-12 Program Curriculum

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Data Science with Tableau for 9-12 Program Curriculum

This high school level program (ages 14-18) dives deeper into data science concepts using Tableau. Students learn advanced data analysis techniques, statistical concepts, predictive modeling basics, and how to create complex data visualizations. The curriculum emphasizes critical thinking, problem-solving with data, and introduces students to real-world applications of data science across various industries.

The program is designed with flexibility to fit various academic structures:

  1. It can be offered as a standalone elective, allowing students to explore data science as an additional subject.
  2. It can serve as a substitute for Algebra 2, offering a more applied and data-focused alternative to traditional advanced math courses. Or, for students who have completed Algebra 2, it provides an advanced option to further develop their mathematical and analytical skills.
  3. The curriculum is designed to be integrated within other courses and disciplines, allowing for cross-curricular applications of data science in subjects such as science, social studies, and even arts and humanities.

This versatile approach ensures that data science education can be tailored to fit the needs and structures of different schools and educational programs, while providing students with valuable, industry-relevant skills regardless of their chosen academic path.

04

Data Certification Path with Tableau for Higher Ed

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Data Certification Path with Tableau for Higher Ed

This program offers a structured pathway for higher education students and professionals to develop and certify their data skills using Tableau. The curriculum is designed to align with industry standards and the official Tableau certification path, providing students with valuable, marketable skills in data analytics and visualization.

The program consists of several levels, each corresponding to an official Tableau certification:

  1. Tableau Desktop Specialist (Associate level):
    This entry-level course introduces students to Tableau Desktop, covering basic data connection, visualization creation, and dashboard design. It's ideal for beginners and forms the foundation for more advanced skills.
  2. Tableau Certified Data Analyst (Professional level):
    Building on the Desktop Specialist skills, this course dives deeper into data analysis techniques, advanced calculations, and storytelling with data. Students learn to create complex visualizations and conduct sophisticated data explorations.
  3. Tableau Server Certified Associate (Professional level):
    This course focuses on Tableau Server administration, covering topics such as user management, security, and performance optimization. It's ideal for students interested in the infrastructure side of data analytics.
  4. Tableau Certified Consultant (Professional level):
    This advanced course covers visual best practices, project management, and in-depth knowledge of Tableau products. It prepares students for roles in consulting or leading data projects.
  5. Tableau Certified Architect (Professional level):
    The highest level certification, this course covers enterprise-level Tableau implementation, including scalability, integration with other systems, and advanced security configurations.

The program is designed to be flexible, allowing institutions to offer it in various formats:

  • As a series of standalone courses
  • Integrated into existing data science or business analytics programs
  • As a professional development track for graduate students or working professionals

Each course includes hands-on projects, often in collaboration with local businesses or community organizations, providing real-world experience. The curriculum also emphasizes the ethical use of data and the importance of data-driven decision making in various industries.

Upon completion of each level, students are prepared to take the corresponding Tableau certification exam, giving them industry-recognized credentials to boost their employability. The program aims to produce graduates who are not just proficient in using Tableau, but who understand the broader context of data in business and society, preparing them for leadership roles in the data-driven economy.

05

Sector-Specific AI & Data Curriculum

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Sector-Specific AI & Data Curriculum

Vista Data partners with industry leaders to create immersive AI and data programs across diverse sectors, equipping students with cutting-edge skills and real-world expertise in high-demand fields. Our sector-specific programs span financial services, healthcare, public sector, retail, media, and manufacturing. Courses blend sector-specific data science and AI applications with real-world challenges, preparing students for transformative roles in their chosen industries.

Key Features:

  • Tailored curricula developed in collaboration with industry experts
  • Hands-on projects using real industry data and AI tools
  • Focus on practical applications and innovative problem-solving
  • Opportunities to present solutions to industry professionals

Program Offerings:

  1. AI-Powered Healthcare Analytics Target: High School, University, Professional Ed Sectors: Provider, Payer, Pharmaceutical, Medical Devices Learn to leverage AI to transform member experiences, improve operational agility, and address health equity. Students will make data-driven decisions for optimal patient care, optimize virtual sales, and employ advanced analytics across the healthcare value chain.
  2. AI-Enhanced Financial Analytics Target: High School, University, Professional Ed Sectors: Banking, Insurance, Wealth Management Apply AI techniques to revolutionize financial data analysis. Create AI-powered risk assessment models, design smart wealth management dashboards, and develop predictive analytics for market trends.
  3. AI-Driven Public Sector Analytics Target: High School, University, Professional Ed Sectors: State and Local, Federal and Defense, Education, Non-Profit Utilize AI to improve the quality and impact of public services with data-driven insights. Learn to accelerate mission-critical decision-making, track program progress, and increase engagement across various public sector domains.
  4. AI-Powered Retail Analytics Target: High School, University, Professional Ed Sectors: Consumer Goods, Retail Harness AI for advanced retail data integration, customer behavior analysis, and sales forecasting. Use data intelligence to forecast demand, mitigate supply chain disruptions, and build a single source of truth for customer data.
  5. AI-Optimized Supply Chain Analytics Target: High School, University, Professional Ed Sector: Manufacturing Implement AI techniques to revolutionize manufacturing analytics, improving process efficiency and centralizing production monitoring. Turn real-time data into just-in-time insights, enabling better visibility and instilling trust in data governance.
  6. AI-Enhanced Media Analytics Target: High School, University, Professional Ed Sectors: Communications, Media Apply AI to maximize audience engagement and optimize campaign ROI with a data-driven approach. Find new insights that spark innovation and create new revenue streams in the communications and media sectors.

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Professional Development and Curriculum Support

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Professional Development and Curriculum Support

- Teacher Training: A two-day training session before the program starts. The first day equips educators with the skills to integrate AI into the classroom and teaches the foundations of AI, ethics, prompting, and large language models. The second day focuses on preparing teachers to guide students in developing AI assistants for community partners.

- Bi-Weekly Coaching: Ongoing bi-weekly check-ins with our team and your educators to provide support as they work with students in the classroom throughout the academic year.

- Industry Mentorship: Industry tech partners provide mentorship, feedback, and advice to students as they work on their final projects (i.e., develop AI assistants or data dashboards for community partners).