Ouassima - Databases teacher - Los Angeles
1st lesson free
Ouassima - Databases teacher - Los Angeles

Ouassima's profile and their contact details have been verified by our experts

Ouassima

  • Rate $30
  • Response 14h
  • Students

    Number of students Ouassima has taught since their arrival at Superprof

    2

    Number of students Ouassima has taught since their arrival at Superprof

Ouassima - Databases teacher - Los Angeles
  • 5 (8 reviews)

$30/h

1st lesson free

Contact

1st lesson free

1st lesson free

  • Databases
  • Data Analysis

Data Analysis Tutor for Students and Professionals | Python, Pandas, Excel, SQL and Data Visualization

  • Databases
  • Data Analysis

Lesson location

Recommended

Ouassima is a respected tutor in our community. They have been highly recommended for their commitment and the quality of their lessons — an excellent choice to progress with confidence.

About Ouassima

I am an engineer and PhD researcher specializing in Artificial Intelligence and data-driven systems, with more than eight years of programming experience and over six years of online teaching experience.

I have taught and mentored more than 100 learners worldwide, including university students, researchers, professionals, and beginners working with Python, statistics, Data Analysis, Machine Learning, and technical projects.

I have practical experience working with structured datasets, analytical workflows, Python notebooks, statistical methods, visualizations, and research-oriented projects.

My principal strength is helping learners understand the reasoning behind an analysis. Knowing a few Python commands is not enough—you also need to understand what the data represents, which steps are appropriate, how to recognize misleading results, and how to communicate your findings clearly.

My lessons combine clear explanations, live demonstrations, and guided practice. We can build your foundations, work through a university course, clean and explore a dataset, debug an existing notebook, or develop a complete analysis step by step.

Lessons are patient, practical, and adapted to your level. I teach in English, French, and Arabic.

Bring your learning objectives, course material, dataset, spreadsheet, notebook, or project description to the first session, and we will identify the best way to proceed.

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About the lesson

  • Tertiary
  • Tvet
  • Bachelors
  • +9
  • levels :

    Tertiary

    Tvet

    Bachelors

    Adult Education

    Masters

    Doctorate

    Pre primary

    Beginner

    Intermediate

    Advanced

    Professional

    Children

  • French
  • English
  • Arabic

All languages in which the lesson is available :

French

English

Arabic

Do you have a dataset, assignment, research project, or business question but feel uncertain about how to clean the data, choose the correct analysis, create useful visualizations, or explain your findings?

I provide personalized Data Analysis lessons for university students, researchers, professionals, and beginners who want to work confidently with real data using Python, Pandas, Excel, SQL, and visualization tools.

Depending on your level and objectives, we can work on:

• Python foundations for Data Analysis
• Working effectively with Jupyter Notebook
• NumPy and Pandas
• Importing data from CSV, Excel, and other structured files
• Understanding rows, columns, variables, and data types
• Cleaning missing, duplicated, inconsistent, and incorrect data
• Filtering, sorting, grouping, and aggregating information
• Combining datasets using merges and joins
• Pivot tables and summary tables
• Exploratory Data Analysis
• Descriptive statistics and statistical reasoning
• Identifying distributions, relationships, patterns, and outliers
• Creating clear visualizations with Matplotlib and Seaborn
• Writing SQL queries for Data Analysis
• Analyzing data with Excel formulas and pivot tables
• Interpreting analytical results correctly
• Presenting findings through notebooks, reports, and presentations
• Debugging Python notebooks and improving existing analyses

Every lesson begins with the question you are trying to answer. You can bring a course exercise, research dataset, business dataset, project instructions, notebook, or existing code.

We will work through a clear analytical process:

1. Define the question and expected outcome
2. Understand the structure and quality of the data
3. Clean and prepare the relevant variables
4. Select the appropriate analysis
5. Create visualizations that communicate useful information
6. Interpret the results without making unsupported conclusions
7. Organize the work into a clear and reproducible notebook or report

You will not simply receive code to copy. I will explain what each step accomplishes, why it is necessary, what assumptions it involves, and how you can apply the same reasoning to other datasets.

For academic work, I provide guidance that helps you understand and complete your own analysis while respecting academic-integrity requirements.

If your dataset contains confidential or personal information, please anonymize it before sharing.

The first 30-minute session is free. We will review your objective, assess your current skills, and create a focused plan for your course, research, or project.

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Rates

Rate

  • $30

Pack rates

  • 5h: $145
  • 10h: $295

free lessons

This first lesson offered with Ouassima will allow you to get to know each other and clearly specify your needs for your next lessons.

  • 30mins

online

  • $30/h

Details

Individual lessons are suitable for solving one specific data problem, understanding a difficult concept, debugging a notebook, or reviewing an existing analysis.

The 5-hour package is suitable for completing an Exploratory Data Analysis, learning a defined group of skills, or making substantial progress on a university, research, or professional project.

The 10-hour package provides a structured Data Analysis pathway covering data preparation, exploration, visualization, interpretation, and presentation.

Structured packages include an initial assessment, a personalized roadmap, progress reviews, and recommended practice or resources between lessons.

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