1st lesson free
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Muhammad Ali
- Rate ₱1,232
- Response 1h
₱1,232/h
Contact
1st lesson free
- 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
- Elementary School
- Junior High School
- Senior High School
- +11
levels :
Elementary School
Junior High School
Senior High School
Technical Vocational Education And Training
Adult Education
Bachelor
Master
Doctoral
MBA
Early Childhood Education
Beginner
Intermediate
Advanced
Children
- 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
- ₱1,232
Pack rates
- 5h: ₱5
- 10h: ₱10
online
- ₱1,232/h
free lessons
This first lesson offered with Muhammad Ali will allow you to get to know each other and clearly specify your needs for your next lessons.
- 1hr
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