Recently active
Since July 2026
Instructor since July 2026
Practical Data Analytics with Excel,
From 33 C$ /h
Data analytics is an essential skill for students, professionals and organisations that want to make informed decisions using data. This practical class will help you develop the skills required to clean, analyse, visualise and interpret data using widely used analytical tools.
Depending on your learning objectives, lessons may cover Microsoft Excel, Power Query, Power BI, SQL or Python. You can learn how to clean and transform datasets, write formulas and queries, develop data models, calculate meaningful performance indicators and design interactive dashboards.
Each lesson is customised according to your current level and goals. I use clear explanations, guided exercises, realistic datasets and practical projects to help you understand both the technical steps and the business meaning behind the results.
This class is suitable for beginners, university students, job seekers and working professionals. By the end of the programme, you should be able to analyse data more confidently, create professional reports and apply your skills to academic or workplace projects.
Depending on your learning objectives, lessons may cover Microsoft Excel, Power Query, Power BI, SQL or Python. You can learn how to clean and transform datasets, write formulas and queries, develop data models, calculate meaningful performance indicators and design interactive dashboards.
Each lesson is customised according to your current level and goals. I use clear explanations, guided exercises, realistic datasets and practical projects to help you understand both the technical steps and the business meaning behind the results.
This class is suitable for beginners, university students, job seekers and working professionals. By the end of the programme, you should be able to analyse data more confidently, create professional reports and apply your skills to academic or workplace projects.
Extra information
Please bring a laptop with a reliable internet connection. Depending on the selected subject, you may need Microsoft Excel, Power BI Desktop, a SQL environment, Python or Jupyter Notebook installed. I can assist you with the required software setup during the first lesson. You are also welcome to bring a dataset or project you would like to understand, provided it does not contain confidential information.
Location
Online from Zimbabwe
About Me
I am a patient, practical and supportive tutor who enjoys helping learners understand difficult concepts and apply them confidently. My teaching style combines clear explanations, step-by-step demonstrations, guided exercises and real-world examples.
Before beginning a lesson, I take time to understand the student’s current knowledge, challenges and learning objectives. I then adapt the lesson to suit their pace and preferred way of learning. I encourage students to ask questions, practise during lessons and explain their reasoning rather than simply memorising procedures.
I particularly enjoy teaching teenagers, university students, job seekers and working professionals who want to improve their academic performance or develop practical career skills. Depending on the subject, students may work with datasets, dashboards, financial models, case studies, coding exercises and realistic business scenarios.
My goal is to create a comfortable learning environment and help every student become an independent, confident problem-solver.
Before beginning a lesson, I take time to understand the student’s current knowledge, challenges and learning objectives. I then adapt the lesson to suit their pace and preferred way of learning. I encourage students to ask questions, practise during lessons and explain their reasoning rather than simply memorising procedures.
I particularly enjoy teaching teenagers, university students, job seekers and working professionals who want to improve their academic performance or develop practical career skills. Depending on the subject, students may work with datasets, dashboards, financial models, case studies, coding exercises and realistic business scenarios.
My goal is to create a comfortable learning environment and help every student become an independent, confident problem-solver.
Education
• Master of Science in Financial Engineering — WorldQuant University, currently in progress
• Bachelor’s Degree in Forensic Accounting — University of Zimbabwe
• Microsoft Certified: Power BI Data Analyst Associate (PL-300)
• Additional professional training and certifications in Microsoft Excel, Power BI and Data Analytics
• Bachelor’s Degree in Forensic Accounting — University of Zimbabwe
• Microsoft Certified: Power BI Data Analyst Associate (PL-300)
• Additional professional training and certifications in Microsoft Excel, Power BI and Data Analytics
Experience / Qualifications
I work as a Senior Consultant and Professional Trainer at Dupleix Institute, where I design and deliver physical, virtual and hybrid training programmes for students, professionals and corporate organisations.
I have delivered courses in Power BI, Advanced Excel, SQL and SSIS, Python, R, artificial intelligence, financial modelling, project-finance modelling, fraud analytics, internal-audit data analysis, IFRS 9 Expected Credit Loss modelling, credit scoring, stress testing and ICAAP.
My professional experience also includes developing analytical dashboards, AI-assisted business tools, financial models, IFRS 9 systems, credit-scoring solutions and risk-management platforms for financial institutions. This experience enables me to connect academic concepts with practical workplace applications.
I prepare structured lesson materials, datasets, exercises and case studies, assess learners’ understanding and provide individual guidance. My lessons focus on practical skills, accurate reasoning and the learner’s ability to apply knowledge independently.
I have delivered courses in Power BI, Advanced Excel, SQL and SSIS, Python, R, artificial intelligence, financial modelling, project-finance modelling, fraud analytics, internal-audit data analysis, IFRS 9 Expected Credit Loss modelling, credit scoring, stress testing and ICAAP.
My professional experience also includes developing analytical dashboards, AI-assisted business tools, financial models, IFRS 9 systems, credit-scoring solutions and risk-management platforms for financial institutions. This experience enables me to connect academic concepts with practical workplace applications.
I prepare structured lesson materials, datasets, exercises and case studies, assess learners’ understanding and provide individual guidance. My lessons focus on practical skills, accurate reasoning and the learner’s ability to apply knowledge independently.
Age
Children (7-12 years old)
Teenagers (13-17 years old)
Adults (18-64 years old)
Seniors (65+ years old)
Student level
Beginner
Intermediate
Advanced
Duration
60 minutes
The class is taught in
English
Availability of a typical week
(GMT -04:00)
New York
Online via webcam
Mon
Tue
Wed
Thu
Fri
Sat
Sun
00-04
04-08
08-12
12-16
16-20
20-24
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