

One of our best tutors. Quality profile, experience in their field, verified qualifications and a great response time. Ammar will be happy to arrange your first Databases lesson.
Ammar
One of our best tutors. Quality profile, experience in their field, verified qualifications and a great response time. Ammar will be happy to arrange your first Databases lesson.
- Rate £16
- Response 2h
-
Students50+
Number of students Ammar has accompanied since arriving at Superprof
Number of students Ammar has accompanied since arriving at Superprof

£16/hr
1st lesson free
- Databases
- MySQL
- Data Analysis
- Oracle
- Microsoft Access
Master Database Management, Data Analysis & Visualization with Excel, SQL, MySQL, Python, Power BI & Tableau | PhD Engineer and Professor | Beginner to Professional
- Databases
- MySQL
- Data Analysis
- Oracle
- Microsoft Access
Lesson location
Ambassador
One of our best tutors. Quality profile, experience in their field, verified qualifications and a great response time. Ammar will be happy to arrange your first Databases lesson.
About Ammar
I am a multidisciplinary educator, researcher, engineer, trainer, and consultant with more than 25 years of experience in data analysis, information systems, research, professional training, and applied problem solving.
My academic background includes a Bachelor’s degree in Engineering, a Master’s degree in Management Information Systems, and a PhD in Knowledge Management and Artificial Intelligence. This combination allows me to connect data, technology, systems thinking, research, and real organizational needs rather than teaching software commands in isolation.
Over the years, I have completed and supported hundreds of analytical, database, research, and applied projects and have guided university learners and researchers working on complex quantitative and information-management problems. My teaching approach is structured, example-based, and focused on helping the learner understand what is happening, why it works, and how to apply it independently.
For Data Analysis specifically, I combine analytical reasoning with practical workflows using Microsoft Excel, SQL, MySQL, relational databases, Microsoft Access, and related tools when appropriate. I focus on data quality, query logic, database relationships, exploratory analysis, reporting, interpretation, and the complete path from raw data to useful evidence.
I teach in English, French, and Arabic and adapt my explanations to the learner’s academic background, profession, technical confidence, software environment, and goals.
About the lesson
- Primary
- Secondary
- GCSE
- +13
levels :
Primary
Secondary
GCSE
BTEC
Adult Education
Masters
MBA
Nursery
Beginner
Intermediate
Advanced
Professional
Kids
Doctorate
AS Level
A Level
- French
- English
All languages in which the lesson is available :
French
English
Data analysis is not simply about using Excel, writing SQL queries, or building dashboards. It is a complete reasoning process:
**Define the question → understand the data → prepare it → analyze it → verify the results → visualize the evidence → communicate the conclusion.**
My lessons help you understand this complete workflow so that you can work accurately, independently, and confidently with real academic, research, business, or organizational data.
I teach beginners, college and university students, researchers, analysts, managers, engineers, and professionals. Each lesson is adapted to your current level, software environment, dataset, assignment, examination, workplace task, or professional objective.
At the beginning, I identify your existing knowledge, the structure and quality of your data, the expected output, the software requirements, and the main technical or conceptual difficulties. We then establish a clear and practical learning plan.
Depending on your objectives, lessons may cover:
A- Data understanding, preparation, and quality
• Understanding datasets, observations, variables, fields, records, tables, data types, measurement levels, and analytical units
• Translating academic, organizational, or business questions into clearly defined analytical objectives, variables, measures, key performance indicators, and reporting requirements
• Data cleaning and quality control, including missing values, duplicates, inconsistent formats, invalid entries, outliers, coding errors, and logical validation
• Importing, restructuring, filtering, sorting, grouping, reshaping, aggregating, merging, and combining datasets
• Data governance and quality practices, including validation rules, metadata, data dictionaries, lineage, ownership, access permissions, privacy awareness, documentation, and auditable analytical decisions
B- Microsoft Excel and spreadsheet analysis
• Microsoft Excel from foundational to advanced analytical use
• Formulas and functions, including logical, text, date, lookup, statistical, financial, and conditional functions
• XLOOKUP, INDEX–MATCH, dynamic arrays, structured references, named ranges, conditional logic, and error handling
• PivotTables, PivotCharts, slicers, data validation, conditional formatting, scenario analysis, Goal Seek, and what-if analysis
• Power Query for importing, cleaning, transforming, reshaping, appending, and merging data through repeatable workflows
• Power Pivot and the Excel Data Model, including relationships, calculated columns, measures, and analytical modelling
• Professional dashboards, reusable templates, automated reports, and management summaries
• Excel macros and VBA when automation is relevant to the learner’s course or workplace objective
C- Python for data analysis
• Python for data analysis using Jupyter Notebook, Anaconda, or Visual Studio Code
• pandas for importing, cleaning, filtering, grouping, aggregating, reshaping, merging, and analyzing data
• NumPy for numerical arrays and computational foundations
• Matplotlib and Seaborn for exploratory and professional data visualization
• Working with CSV, Excel, text, and database data
• Writing clear, reusable, and well-documented analytical scripts
• Understanding errors, debugging code, validating results, and organizing reproducible notebooks and projects
Python is taught here specifically as a data-analysis tool. General programming, software development, artificial intelligence, and advanced machine learning remain separate learning pathways.
D- SQL and database querying
• SQL from beginner to advanced analytical querying
• SELECT statements, filtering, sorting, grouping, aggregation, aliases, and conditional expressions
• INNER, LEFT, RIGHT, FULL, and self-joins
• Subqueries, correlated subqueries, set operations, and common table expressions
• CASE expressions, date functions, text functions, conversion functions, and handling NULL values
• Window functions, ranking, running totals, moving calculations, partitioning, and analytical comparisons
• Views, temporary tables, reusable queries, and multi-table analysis
• Query troubleshooting and optimization, including indexes, execution logic, efficient joins, duplicate prevention, validation, and performance-aware query design
E- Relational database design and management
• Database requirements analysis and relational modelling
• Entities, attributes, tables, records, fields, relationships, and business rules
• Entity–relationship diagrams
• Primary keys, foreign keys, candidate keys, composite keys, and surrogate keys
• Cardinality, referential integrity, constraints, and validation rules
• Normalization, functional dependencies, schema design, and data dictionaries
• Views, transactions, stored procedures, triggers, indexing, user permissions, security, backup principles, and concurrency foundations
• Understanding the difference between operational databases, analytical databases, spreadsheets, and business-intelligence models
Practical work may involve MySQL, Microsoft Access, Oracle, SQL Server, or PostgreSQL, depending on the learner’s course, project, or professional environment.
F- Data integration, ETL, and warehousing
• Extracting data from spreadsheets, text files, databases, and other agreed data sources
• Transforming formats and structures, standardizing values, merging sources, validating outputs, and loading prepared data into analytical systems
• ETL workflow foundations: extraction, transformation, validation, and loading
• Staging data, operational versus analytical systems, data marts, dimensional models, and the movement of data from source systems to reports and dashboards
• Introductory data warehousing concepts, including fact tables, dimension tables, star schemas, snowflake schemas, data granularity, and reporting structures
G- Power BI and business intelligence
• Power BI Desktop from data import to interactive reporting
• Power Query for cleaning and transforming data
• Relationships, cardinality, filter direction, data granularity, and dimensional modelling
• Fact and dimension tables, star schemas, and business-intelligence data models
• Calculated columns, measures, and DAX foundations
• Row context, filter context, CALCULATE, time-intelligence foundations, and KPI development
• Interactive reports using filters, slicers, drill-through, tooltips, bookmarks, hierarchies, and navigation
• Dashboard layout, visual consistency, accessibility, usability, and audience-focused presentation
• Publishing, refreshing, sharing, workspaces, and Power BI Service concepts when appropriate
H- Tableau
• Connecting and preparing data in Tableau
• Dimensions, measures, discrete and continuous fields
• Calculated fields, table calculations, parameters, filters, sets, groups, and hierarchies
• Level-of-detail calculation foundations
• Interactive charts, dashboards, actions, stories, and presentation workflows
• Designing visualizations that support clear comparisons, exploration, and decision-making
I- Data visualization and storytelling
• Selecting the correct chart for the analytical question
• Visualizing comparisons, trends, distributions, relationships, composition, ranking, geography, and uncertainty
• Using position, length, size, colour, labels, annotations, and hierarchy effectively
• Designing clear and accessible charts and dashboards
• Avoiding misleading scales, unnecessary decoration, visual clutter, and incorrect comparisons
• Matching the level of detail and presentation style to technical, managerial, academic, or non-technical audiences
• Data storytelling: moving from raw results to a coherent narrative, explaining KPIs, identifying patterns and exceptions, highlighting uncertainty, and presenting evidence-based conclusions and recommendations
K- Reproducibility and professional workflow
• Reproducible and maintainable workflows using documented formulas, SQL queries, scripts, notebooks, naming conventions, structured folders, and versioned files
• Git and version-control foundations when appropriate
• Checking calculations, reconciling results across tools, validating joins and relationships, and identifying the source of inconsistencies
• Distinguishing among data-quality problems, incorrect formulas, wrong joins, misunderstood data types, faulty relationships, weak analytical questions, and interpretation errors
• Producing clear technical documentation so that the analysis can be reviewed, repeated, updated, and transferred to another user
L- End-to-end analytical projects
Lessons may follow a complete real-world project such as:
**Question definition → data collection or import → cleaning → database design → SQL extraction → Excel or Python analysis → BI modelling → dashboard development → interpretation → final report or presentation**
Projects can be based on your own academic, research, organizational, or workplace data, provided that confidential information is removed or handled appropriately.
Professionals and career-transition learners may also build a carefully documented portfolio project demonstrating:
• Data preparation
• SQL analysis
• Excel or Python workflows
• Database design
• Power BI or Tableau dashboards
• Interpretation and communication of findings
M- Lesson structure and deliverables
A lesson may include:
• A brief diagnostic review
• Explanation of the relevant concepts
• Live software demonstration
• Guided practice
• Independent application
• Error analysis and troubleshooting
• Validation of the final result
• A concise summary and recommended next steps
When useful, you may receive annotated spreadsheets, SQL scripts, Python notebooks, database diagrams, Power BI or Tableau files, reusable templates, concise lesson notes, targeted exercises, or a documented workflow that you can continue independently.
For ongoing instruction, we can follow a structured pathway, monitor your mastery of tools and concepts, maintain a project portfolio, and progressively move from guided examples to independent analysis.
Preparation may also be aligned with Excel, SQL, Tableau, or Microsoft Power BI PL-300 objectives when the relevant curriculum and requirements are agreed in advance.
My objective is not merely to fix a formula, complete one query, or build one chart. It is to help you understand the complete data workflow, recognize why errors occur, select the correct tool, verify your results, and communicate reliable conclusions.
Whether you need to learn from the beginning, complete an assignment, prepare for an examination, improve a workplace report, design a database, analyze a real dataset, build an interactive dashboard, or develop professional data-analysis skills, each lesson will be built around your actual objective.
Review
All of our reviews are collected by us and are 100% reliable. They correspond to a real experience lived by the students of Ammar.
Perfect! Ammar is an absolutely fantastic tutor. He gives 100% to his lessons and I cannot recommend him enough. He is outstanding in what he does and made things so much easier for my son to understand. Thank you for everything.
Perfect! Excellent overview and explanation of Stata
Excellent! Excellent! He knows what he's doing. I loved how he made me feel confident and successful in the exam. He also knows his own plan and understands that it's perfectly normal to initially not know something until the professor explains it to you. His clear, wonderful, and professional approach is truly impressive. I'm so grateful to have him as my instructor in my computer studies.
Perfect! We had our intro session, and it went really well. It's the first time in a long while that I feel genuinely enthusiastic about learning something new
Perfect! Such an excellent professor iam so lucky to have him to support my research data analysis and appreciate how he makes me confident to face my challenges
Perfect! Great tutor, with perfect approach to explaining complex scientific material. Always well prepared for the lesson. Highly recommend!
- I highly recommend Pavel for any academic or professional role in Data Analysis and Machine Learning. As his mentor, I have observed his exceptional dedication, intelligence, and integrity in all his work. His strong work ethic, honesty, and determination to excel are evident in his research and projects. With a deep passion for learning and a collaborative spirit, Pavel is sure to be an asset to any team. I am confident he will make significant contributions to the field.Ammar's response :
Perfect! Ammar is very kind and prepared, he helped with my Data Science assignment. He was very patient and made sure I understood the code we were executing
Perfect! Ammar is an excellent instructor, he easily explains information and gives examples to make sure you understand. Thank you Ammar for all the support. Highly recommended
- Ola is an excellent and a highly motivated student.Ammar's response :
Perfect! Excellent instructor. Looking forward to have more classes
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Recommendations
Recommendations come from relatives, friends and acquaintances of the teacher
You are my ideal . You are a great leader, honestly you are the best.
I met professor Ammar in University and I have never seen someone so kind, charismatic, encouraging, has effective classroom management strategies, and solid knowledge of the subject matter or the field. Promotes positive learning experiences, attitudes, engagement and motivation. Whenever we faced a problem or a difficulty with something we would always go to professor Ammar and we he would always listen and help us in a heartbeat. I feel proud that I got to meet such an inspirational professor in my life that I will never forget.
Exceptional skills and understanding. Making it easy to grasp the knowledge and content of the course. Will go above an beyond to make sure you fully understand.
I just want to say thank you, for being a teacher who cares about what we learn and who we are becoming.
You’ve encouraged us to grow as students, and you’ve remembered we are growing as people, too, delivering your instruction with love and warmth and caring, somehow, you made even the hardest times fun.
Thank you, for making our days at college way much easier.Professor Ammar Explains information in an easy-to-understand manner Which makes the lessons easy for the student. In addition to his cheerful spirit and answering questions, and answering them clearly and simply
Ammar first is a great person and sincere.
When he is tutoring I like the way of his examples to make easy to understand the topic (Math in my case).
He was able to understand my problem and able to help me solve the problem. I would recommend him.
Dr. Ammar is wonderful, but more than wonderful
Best PROf in the world
Dr. Ammar, is one of the most important and greatest professors I have ever met. I have known him for more than 6 years. Skilled in providing consultancy in various disciplines. He has important knowledge and skills in the field of management, technology and many specializations. I had several trainings with him. I am proud to know him. It was a wonderful opportunity and every year I see him adding new knowledge to his sciences. Encyclopedia of knowledge and science.
Julian AliHe is the best teacher. He taught me business administration, management and organization, and he taught me programming and graphic design. He is the best teacher
A real Guru in Business and technology , one of the best mentors any one could ever have ,very helping , caring and supportive . Always keeping his students updated and sharing valuable knowledge with them .
Dr. Ammar has wealth of knowledge in management especially project management.
He gets the student engaged intova comprehensive understanding about the concept at a strategic level of mangement.
He has a very good manner in giving the lesson in a systematic approach.
I have learnt a lot from Dr. Ammar. He has been my first professional guide in IT studies and researches and many other subjects. He is a creative and an out-of-the-box thinker. I enjoyed learning and working with him. I always wish him all the best.
I have attended many training sessions in different subjects with Dr. Ammar, and I benefited a lot. He explains in details all you need to know and more which allows you to master the application or the software.
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Rates
Rate
- £16
Pack prices
- 5h: £79
- 10h: £158
online
- £16/h
Travel
- + £10
free lessons
The first free lesson with Ammar will allow you to get to know each other and clearly specify your needs for your next lessons.
- 1hr
Details
Getting started: You may begin directly with a paid tutoring session when the topic and objective are already clear. If you prefer to discuss your needs first, we can have a brief free Zoom meeting - together with a parent or guardian when relevant - to clarify the level, goals, and best learning plan. No booking or payment is required for this introductory meeting;
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