Muhammad Ali - Data analysis tutor - Huddersfield
1st lesson belanja
Muhammad Ali - Data analysis tutor - Huddersfield

Muhammad Ali's profile, qualifications and contact details have been verified by our experts

Muhammad Ali

  • Rate RM82
  • Response 1h
Muhammad Ali - Data analysis tutor - Huddersfield

RM82/h

1st lesson belanja

Contact

1st lesson belanja

1st lesson belanja

  • Data Analysis

Data Analysis & BI Tutor | SQL, Power BI, SSRS, SSIS, Excel MSc in Communication, Graduate in Computer Engineering, with 7+ years of hands-on experience as a Data Analyst. I offer practical, career-fo

  • Data Analysis

Lesson location

About Muhammad Ali

I am a Data Analyst with over 7 years of hands-on industry experience, combining a strong technical foundation with clear communication skills. I hold a Graduate degree in Computer Engineering and an MSc in Communication, allowing me to explain complex data concepts in a simple, practical way. I specialise in Data Analysis and Business Intelligence using SQL, Power BI, SSRS, SSIS, and Microsoft Excel. My tutoring approach is practical and results-driven, focusing on real-world scenarios, career readiness, and building confidence. I work with students and professionals at all levels, tailoring each session to individual learning goals.

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About the lesson

  • Primary
  • Secondary
  • SPM
  • +12
  • levels :

    Primary

    Secondary

    SPM

    Form 6

    STPM

    Adult education

    Bachelor

    Masters

    Diploma

    Doctorate

    Beginner

    Intermediate

    Advanced

    Professional

    Kids

  • English

All languages in which the lesson is available :

English

Data Analysis & Business Intelligence Tutoring – Lesson Outline
1. Foundations of Data Analysis
Understanding data types, data structures, and data quality
The data analysis lifecycle: collect, clean, analyse, visualise, and report
Analytical thinking and problem-solving approaches
Translating business requirements into analytical questions
2. Microsoft Excel for Data Analysis
Excel fundamentals for analysts (formulae, functions, references)
Advanced formulae: IF, VLOOKUP/XLOOKUP, INDEX-MATCH, SUMIFS, COUNTIFS
Data cleaning and preparation techniques
Pivot Tables and Pivot Charts for analysis
Conditional formatting for insights
Excel dashboards and automated reports
Best practices for large datasets
3. SQL for Data Analysis
Relational database concepts and data modelling basics
Writing SQL queries: SELECT, WHERE, ORDER BY, GROUP BY, HAVING
Joins (INNER, LEFT, RIGHT, FULL) and subqueries
Common Table Expressions (CTEs)
Window functions for advanced analytics
Query optimisation and performance basics
Using SQL to answer real business questions
4. Stored Procedures, Views & Database Objects
Creating and managing Views for reporting and abstraction
Stored Procedures: design, parameters, and execution
Functions and reusable database logic
Handling errors and exceptions
Best practices for maintainable and secure database code
5. SQL Server Integration Services (SSIS)
Introduction to ETL (Extract, Transform, Load) concepts
Building SSIS packages from scratch
Data extraction from multiple sources
Data transformation and cleansing
Loading data into data warehouses
Error handling, logging, and package optimisation
Scheduling and deploying SSIS packages
6. SQL Server Reporting Services (SSRS)
Designing professional reports
Working with datasets, parameters, and expressions
Tables, matrices, charts, and drill-down reports
Report formatting and layout best practices
Publishing and managing reports
Automating report delivery
7. Power BI – Data Visualisation & Reporting
Power BI interface and workflow
Connecting to multiple data sources
Data modelling and relationships
DAX fundamentals and advanced calculations
Building interactive dashboards and reports
Filters, slicers, drill-through, and tooltips
Power BI best practices for performance and usability
8. Data Modelling & Data Warehousing Concepts
Star schema and snowflake schema
Fact and dimension tables
Data normalisation vs denormalisation
Designing models for reporting and analytics
Best practices for scalable BI solutions
9. Real-World Projects & Case Studies
End-to-end data analysis projects
Cleaning raw data and building insights
Creating dashboards and reports from real scenarios
Industry-style problem solving
Portfolio-ready projects for job seekers
10. Career & Practical Guidance
How data analysts work in real organisations
Best practices used in the industry
Interview preparation and common technical questions
SQL and Power BI test practice
Career roadmap for aspiring Data Analysts

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Rates

Rate

  • RM82

Pack rates

  • 5h: RM410
  • 10h: RM820

online

  • RM82/h

free lessons

This first lesson is free to allow you to get to know your teacher so that they can best meet your needs.

  • 1hr

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