2026 Fall Pilot Program: Buy PD, Get Curriculum Free!
Students are introduced to the power of data analysis, machine learning concepts, and artificial intelligence through hands-on Python programming projects.
Data Science & AI is aligned to the CSTA 9-10 and 11-12 Computer Science Standards within our full K-12 computer science curriculum. The course provides opportunities for high school students to build advanced programming and data analysis skills using Python. Students deepen their understanding of algorithms, data structures, object-oriented programming, and responsible computing, while exploring real-world applications of data science and artificial intelligence.
Provides pacing suggestions, key vocabulary, discussion prompts, and differentiation tips to support student choice while ensuring alignment with learning goals.
These student-facing slides walk students through each phase of the project and include embedded prompts, key concepts, and workbook activities.
Helps teachers support students, model expectations, demonstrate creative possibilities and accurate use of the code.
Supports debugging during instruction and offers a reference point for students building their own projects.
Aligned to the project's learning objectives and includes grading criteria for creativity, collaboration, and technical proficiency.
Students use workbooks (print or digital) to record their project ideas, explain their coding choices, and reflect on what they've learned.
A high school data science course teaches students to collect, clean, analyze, and visualize data, and to draw defensible conclusions from it. Modern courses also introduce the machine learning ideas behind AI, since that's where data science is heading. Hello World's Data Science & AI course for grades 8-12 does both, using Python to analyze real datasets and build working AI tools.
Data types and cleaning, descriptive statistics, visualization, asking good questions of data, an introduction to prediction and pattern recognition, and the ethics of collecting and using data. Hello World's curriculum covers this through projects like urban bike share planning, and students go on to build hand-writing recognition and autocorrect tools, which is where data science and AI meet.
Some Python helps, which is why Hello World recommends Intro to Python first. That said, the data science course reinforces Python as it goes, and students with prior programming experience in any language can start directly. Download the scope and sequence to see how the two courses connect.
By having students build it. Rather than reading about machine learning, students train models on real data and see how the outputs change, then build applications like text prediction and hand-writing recognition. That hands-on approach is how students learn what AI can and can't do. It's the capstone of Hello World's AI literacy curriculum for high school.
In a growing number of states, yes. Several states now allow a data science course to satisfy a fourth-year math requirement or count as a science or CS elective; policy varies by state and district. Hello World's standards alignment documents how the course maps to state standards to support that conversation locally.
Algebra I is enough to start. The course builds statistical reasoning as it goes, and the programming handles the heavy computation. Students don't need calculus or statistics beforehand, which is what makes data science accessible to a much wider range of students than traditional advanced math.
Math, science, CS, and CTE teachers are the most common. No data science background is required; the course includes full lesson plans, solution guides, and professional development with a dedicated PD specialist throughout the year.
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