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Data Science Applications

The Google Data Analytics program at Community College Preparatory Academy (CCPrep) is designed to equip adult learners with the skills and knowledge needed to excel in the field of data analytics. The program comprises eight comprehensive courses leading to certification:

  1. Foundations, Data, Data Everywhere: Introduces learners to the fundamental concepts of data analytics, including data types, sources, and basic analysis techniques.

  2. Ask Questions to Make Data-Driven Decisions: Teaches the art of formulating meaningful questions and hypotheses to guide data analysis processes effectively.

  3. Prepare Data for Exploration: Focuses on data wrangling techniques to clean, transform, and organize raw data for further analysis.

  4. Process Data from Dirty to Clean: Dives deeper into data cleaning methodologies and strategies to ensure data integrity and quality.

  5. Analyze Data to Answer Questions: Explores advanced data analysis techniques to derive actionable insights and solutions from datasets.

  6. Share Data Through the Art of Visualizations: Covers methods for effectively sharing and communicating data insights with stakeholders using various tools and platforms. Introduces data visualization principles and tools to create compelling and informative data visualizations for presentations and reports.

  7. Data Analysis with "R" Programming: Provides hands-on experience with the R programming language for statistical analysis and data manipulation.

  8. Capstone: Complete a Case Study: Culminates the program with a practical, real-world case study where learners apply their acquired skills to solve a data analytics challenge from start to finish.

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