

Christina's profile and their contact details have been verified by our experts
Christina
- Price $51
- Answer 9h
-
Students6
Number of students Christina has accompanied since arriving at Superprof
Number of students Christina has accompanied since arriving at Superprof

$51/h
1st lesson free
- Data Analysis
Data analyst with MSc in Data Science and 8 years of experience gives Python and Excel lessons
- Data Analysis
Lesson location
About Christina
I am a professional data analyst with a master’s degree in Data Science and extensive experience working at a top tech company. I am passionate about teaching and helping others master Python and Excel for data analysis. Let’s achieve your goals together!
About the lesson
- Primary School
- High School
- Year 10
- +13
levels :
Primary School
High School
Year 10
Year 11-12
Year 12
TAFE
Adult
Undergraduate
Diploma/Certificate
Postgraduate
PhD
Beginner
Intermediate
Advanced
Professional
Kids
- English
All languages in which the lesson is available :
English
• I focus on practical, hands-on learning, using real-world examples to make data analysis concepts clear and applicable. My sessions are interactive, with a mix of demonstrations, problem-solving, and guided practice in Python and Excel. I tailor each lesson to your skill level and goals. • Each lesson lasts 1.5 hours, but I can adjust the duration based on your preferences or specific learning needs. • I hold a master’s degree in Data Science and work as a data analyst for a major tech company. My experience combines deep technical knowledge with practical skills. My lessons are perfect for: • Students (high school to university level) • Professionals looking to upskill • Beginners curious about data analysis No prior experience is necessary—I’ll help you start from scratch or refine your existing skills.
Rates
Price
- $51
Pack prices
- 5h: $226
- 10h: $443
online
- $51/h
travel fee
- + $10
free lessons
The first lesson with Christina will allow you to get to know each other and discuss your needs for future lessons.
- 1hr
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