Overview
This lecture introduces the ALX Data Science Program, outlining its structure, key learning areas, and the skills and careers it prepares students for.
Program Structure
- The program begins with a 3-month Professional Foundations module covering communication, leadership, and career skills.
- Core data science modules are divided into weekly sprints with assignments to track progress and reinforce learning.
- Students should expect to dedicate 35-40 hours per week to coursework and peer collaboration.
- Training content is released weekly to ensure steady progress.
Core Learning Areas
- Students learn to use spreadsheets and master statistics and data modeling.
- The program covers database management skills using SQL.
- Data visualization is taught using Power BI.
- Python programming is a key component of the curriculum.
- The final module focuses on cloud computing applications in data science.
Skill Development & Career Pathways
- Students engage in practical projects to apply their data science skills in real-world scenarios.
- The program prepares graduates for roles such as Data Scientist, Advanced Analyst, Machine Learning Engineer, or Cloud Computing Practitioner.
- Graduates receive a certificate of completion that is recognized in the tech industry.
Key Terms & Definitions
- Data Science — the practice of analyzing and interpreting complex data to aid decision-making.
- Cloud Computing — delivering computing services like storage and processing over the internet.
- Machine Learning — a type of AI that enables systems to learn from data and improve over time.
- Data Modeling — designing the structure of a database and relationships within data.
- Power BI — a Microsoft tool for visualizing and analyzing data.
- SQL — a programming language for managing databases.
Action Items / Next Steps
- Commit to the required weekly learning hours and complete assigned modules.
- Engage actively with peers on collaborative projects.
- Complete all assignments and practical projects.
- Upon completion, obtain your certificate and explore career opportunities in data science.