High Data Analytics and Database Design

Segment One:
• Generating stories with data
• Considering data and bias
• Working with data in Python
• Using Pandas and Python
• Types of data visualization
• Selecting data charts
• Constructing interactive dashboards
• Calculating probabilities
• Creating probability trees
• Using basic statistic terminology
• Data sampling
• Hypothesis testing
• Cognitive bias

Segment Two: 
• Database basics
• Sorting data
• Using SQL commands to query data
• Filtering data
• Grouping data
• Designing databases
• Joining and transforming data
• Foreign and primary database keys
• Best practices for SQL databases
• Data privacy
• Types of cyber attacks
• Risk assessment

Students will be required to download SQLite, a free database engine. Download instructions will be provided in the course.

Besides engaging students in challenging curriculum, the course guides students to reflect on their learning and evaluate their progress through a variety of assessments. Assessments can be in the form of practice lessons, multiple choice questions, writing assignments, projects, research papers, oral assessments, and discussions. This course will use the state-approved grading scale. Each course contains a mandatory final exam or culminating project that will be weighted at 20% of the student’s overall grade.***
***Proctored exams can be requested by FLVS at any time and for any reason in an effort to ensure academic integrity. When a proctored exam is administered to assess a student’s integrity, the student must pass the exam with at least a 59.5% to earn credit for the course.

 

To achieve success, students are expected to submit work in each course weekly. Students can learn at their own pace; however, “any pace” still means that students must make progress in the course every week. To measure learning, students complete self-checks, practice lessons, multiple choice questions, projects, discussion-based assessments, and discussions. Students are expected to maintain regular contact with teachers; the minimum requirement is monthly. When teachers, students, and parents work together, students are successful.