Description
This course provides learners with a comprehensive, structured, and gradual foundation in data science and analytics. The 16-week model allows for deeper engagement with core topics such as Python, Power BI, SQL, Statistics, and Machine Learning. It supports career switchers and beginners through consistent reinforcement, hands-on exercises, real-world projects, and strong career preparation components.
Curriculum
- Course structure and expectations
- Introduction to data science and analytics
- Roles in the data science industry
- Setting up Python, Jupyter, VSCode
- Exploring job boards and career paths
- Reviewing sample portfolios
What you will learn in this course
Understand core data science concepts and methodologies
Learn to collect, clean, and analyze data
Gain proficiency in Python, SQL, and data visualization tools
Apply statistical methods for data-driven decision-making
Build machine learning models and interpret results
Work on real-world data projects to develop a portfolio
Who Should Enroll?
High school and college students
Professionals looking to upskill
Career switchers interested in data science and analytics
Certification & Career Opportunities
Students will complete a capstone project where they analyze a real-world dataset and present their findings. Successful participants will earn a Mindflux Academy certification in Data Science & Analytics.