1st lesson free
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Doreen
- Rate UGX 130,141
- Response 1h
-
Students1
Number of students Doreen has accompanied since arriving at Superprof
Number of students Doreen has accompanied since arriving at Superprof
UGX 130,141/hr
Contact
1st lesson free
- Data Analysis
- Data Structures
Data Analyst Lessons: Excel, Python, and Power BI for Practical Skills with Real World Examples.
- Data Analysis
- Data Structures
Lesson location
Recommended
Doreen is a respected member of our tutor community. She is highly recommended for her commitment and the quality of her lessons. An excellent choice to progress with confidence.
About Doreen
I’m Doreen Gyamfi, a skilled Data Analyst with a Master’s in Data Science and Analytics. With hands-on experience in Python, Excel, Power BI, and SQL, I offer specialized IT lessons focusing on practical skills for data analysis and visualization.
In my career, I've developed machine learning models and advanced dashboards, driving significant improvements in business outcomes. My approach to teaching is project-based and interactive, ensuring you learn by applying skills to real-world scenarios.
Whether you're looking to master Excel’s advanced functions, Python for data manipulation, or Power BI for creating impactful dashboards, my lessons are designed to build proficiency and confidence. With a strong emphasis on practical application and problem-solving, I aim to equip you with the tools and knowledge to excel in data analysis.
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About the lesson
- Primary
- Secondary
- Tertiary
- +10
levels :
Primary
Secondary
Tertiary
Adult Education
Masters
Diploma
PhD (Doctor of Philosophy)
MBA
Beginner
Intermediate
Advanced
Professional/Expert
Children
- English
All languages in which the lesson is available :
English
IT Lessons (Excel, Python, Power BI):
Method of Teaching:
My IT lessons are designed for hands-on, project-based learning with a strong focus on data analysis. Each session includes live demonstrations and practical exercises, ensuring that students not only learn theoretical concepts but also apply them to real-world data analysis scenarios. This approach builds proficiency and confidence in handling data, interpreting results, and making data-driven decisions.
Topic Areas:
Excel:
Advanced functions (VLOOKUP, INDEX, MATCH) for complex data manipulation, data analysis techniques, creating Pivot Tables for summarizing data, applying Conditional Formatting to highlight key insights, and using charts for data visualization.
Python:
Basics of programming with a focus on data manipulation using Pandas and NumPy, automation for repetitive tasks, and scripting for data analysis tasks. Emphasis is placed on practical applications in analyzing large datasets and deriving insights.
Power BI:
Creating and customizing dashboards for interactive data visualization, building data models for comprehensive analysis, and report customization to present data insights effectively.
Length of Study:
Lessons are 60-90 minutes long, with duration adjusted based on the topic complexity and student needs, allowing for thorough exploration and hands-on practice in data analysis.
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Recommendations
Recommendations come from relatives, friends and acquaintances of the teacher
4
She speaks with clarity and confidence easy to understand
I highly recommend Doreen Gyamfi for her exceptional teaching skills in data science, maths and IT. Her clear, engaging approach makes complex concepts accessible and practical. With her strong background and hands-on methodology, Doreen is a standout educator who delivers valuable insights and effective learning experiences.
The clarity and organization of your lessons are exceptional. I appreciate how you break down concepts in a way that allows us to thoroughly understand the material
She is loving,caring and has sympathy she has equal time for all her students
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Rates
Rate
- UGX 130,141
Pack prices
- 5h: UGX 650
- 10h: UGX 1300
free lessons
The first free lesson with Doreen will allow you to get to know each other and clearly specify your needs for your next lessons.
- 1hr
online
- UGX 130,141/hr
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