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Preeti
- Rate R137
- Response 1h

R137/h
1st lesson free
- Data Analysis
Data Analytics Mentoring with Excel, SQL, Power BI, Python and Practical Projects
- Data Analysis
Lesson location
About Preeti
I am an IT professional with over 25 years of industry experience across database technologies, project delivery, digital transformation and consulting assignments. My background includes Oracle SQL, reporting, analytics and performance monitoring initiatives in both enterprise and government environments.
I currently mentor learners in Data Analytics, including SQL, Power BI and Advanced Excel. My teaching approach is practical and hands-on, focusing on concepts, exercises, projects and real business scenarios rather than theory alone. I enjoy helping students, working professionals and career transition candidates build confidence and develop skills that can be applied in real-world situations.
About the lesson
- All levels
- English
Languages in which the lesson is available :
English
This Data Analytics program is designed for students, freshers and working professionals who want to build practical analytics skills. The learning path covers Advanced Excel, SQL, Power BI, Python and AI concepts for data analytics through hands-on exercises, projects and mentoring. The focus is on understanding data, generating insights, creating dashboards, applying AI tools in analytics workflows and developing skills relevant to Data Analyst roles.
Rates
Rate
- R137
Package rates
- 5h: R687
- 10h: R1374
free lesson
The free first lesson with Preeti allows you to get to know the tutor and discuss your needs and expectations.
- 1h
online
- R137/h
Details
The displayed fee is indicative for individual sessions. Customized learning plans, structured mentoring programs and course packages are also available.
Training is delivered through a practical, hands-on approach and may include:
• Live online sessions
• Exercises and assignments
• Project guidance
• Doubt clearing support
• Learning and revision material
• Progress reviews
Course packages can be discussed based on the learner's background, objectives and preferred schedule.
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