Python for Data Science & Analytics
Pandas, NumPy, matplotlib, statistical analysis, and real-world datasets. Turn raw data into business decisions. This professional track is structured for adult learners who need practical, career-relevant depth without academic abstraction. Delivered as a hybrid experience, the course combines guided milestones, implementation reviews, and applied exercises aligned with modern AI, engineering, and technical leadership work.
Price
$4,450
Tax included
Duration
8 weeks
Format
Hybrid
Instructor
Helena Ortiz
Pandas, NumPy, matplotlib, statistical analysis, and real-world datasets. Turn raw data into business decisions.
Course Plan
Syllabus
Set up a practical analysis workflow and work confidently with notebook environments.
- Notebook setup
- Data ingestion
- Basic transformations
Outcomes
Includes
- • 8 hybrid weeks with guided notebooks and analysis labs.
- • Real-world datasets spanning business, operations, and customer behavior.
- • Visualization patterns using matplotlib and clean reporting conventions.
- • Capstone analytics brief with presentation-ready output.
Instructor
Helena Ortiz
Helena works at the intersection of analytics, experimentation, and data storytelling, helping teams move from spreadsheet habits to reproducible analysis.