SQL 101: Master the Language of Data, From Fundamentals to Advanced Techniques

Master Python with Personalized Courses Discover the art of programming with Python courses tailor-made to meet your specific needs. Whether you are a beginner, intermediate or professional, my lessons are suitable for all levels. Why Choose My Courses? Personalized Teaching Approach: Each course is tailored to your skill level and individual goals. Practical Experience: Learn by doing with real-world projects that build your understanding and skills. Ongoing Support: Get unlimited email support for any questions you have between sessions. As a Python expert, I have a passion for teaching and sharing my knowledge. My goal is to guide you effectively in your learning journey. Book Your First Lesson: Start your journey to Python mastery now by booking your first lesson. Whether you aspire to enter the development field or hone your existing skills, these courses are designed for you.

Dive into the world of SQL databases with this comprehensive course designed for learners of all levels. Whether you are new to databases or seeking to expand your expertise to advanced concepts like distributed systems, this course has you covered. What You can Learn: - Fundamentals of relational databases and SQL syntax. - Designing robust databases using normalization and entity relationships. - Writing complex queries, joins, and subqueries. - Database optimization techniques for performance tuning. - Implementing stored procedures, triggers, and views. - Managing transactions and ensuring data integrity. - Understanding and working with distributed database systems like Distributed PostgreSQL

I teach a wide range of Data Science courses, including Data Analysis, Databases & SQL, Statistics, and Python, covering topics from beginner to advanced levels. My teaching approach emphasizes hands-on learning with real business datasets, allowing students to directly apply concepts to practical scenarios. I design and deliver curricula, labs, and projects that integrate data cleaning, visualization, machine learning, and predictive modeling. By balancing both theoretical foundations and applied problem-solving, I help learners build strong technical and analytical skills relevant to academic research and industry applications. Additionally, I mentor students on capstone projects and research initiatives, encouraging critical thinking, collaboration, and data-driven decision-making. Use the link below to locate my courses on Udemy: https://www.udemy.com/user/ridha-h-joudah/

Need professional support for your data analysis? I offer you a personalized service, adapted to your academic or professional needs. Whether you are a student, researcher, consultant or professional, I put my expertise at your disposal to help you: Prepare and organize your databases, Perform reliable statistical analyses with R, Stata, SPSS... Interpret your results rigorously, Present your work in the form of clear reports, graphics and publications. Each project is handled with rigor, pedagogy, and confidentiality. You benefit from tailored support, whether for a professional assignment, a dissertation, a thesis, or a publication. For those who wish to train in parallel, I have also designed a complete course to learn how to explore, manipulate and analyze your data independently.

Students WILL learn how to transform raw data into clear, insightful visuals that tell a story. The course covers principles of effective chart design, selection of the right visualization types, and hands-on use of tools like Tableau, Power BI, or Python libraries. Participants also practice analyzing trends, patterns, and outliers to support data-driven decision-making.

Start your journey into the world of Python programming with this hands-on, beginner-friendly course and also for expert level. Whether you're completely new to coding or looking to expand your skills, this course will guide you through the core concepts of Python — from variables and data types to control structures, functions, and lists. As you build a strong foundation in programming, you'll also dive into the powerful data analysis capabilities of Python using popular libraries like Pandas and NumPy . Learn how to clean, process, and analyze real-world data sets to extract meaningful insights. Next, bring your data to life with stunning visualizations using Matplotlib and Seaborn , two of the most widely used data visualization libraries in Python. Finally, take your skills to the next level by building your own web applications using either Flask or Django — two of Python’s most popular web frameworks. By the end of this course, you’ll have a well-rounded understanding of Python programming, data manipulation, visualization, and web development — empowering you to create real-world projects and pursue further specializations.

As a Data Engineer with 9 years of experience, I am passionate about teaching and sharing knowledge. I work with students of all levels (middle school, high school, and higher education) and adults in training or retraining. My strength: combining solid technical mastery and clear teaching to make the most complex concepts simple and accessible. 🔹 What I offer Mathematics: homework help, refresher courses, exam/baccalaureate preparation, in-depth study (up to high school level). SQL & Data: simple to advanced queries, optimization, concrete projects Power BI: interactive dashboard design, modeling, custom indicators Methodology & logic: work organization, reasoning, problem solving 🔹 My method Courses 100% adapted to your level and your objectives Clear explanations, concrete examples and immediate practical application Visual aids and personalized exercises Regular monitoring of progress 🔹 For whom? Middle and high school students wishing to consolidate their skills Higher education students (BTS, DUT, bachelor's, master's) Professionals retraining or wishing to improve their skills in data 📍 Online or home courses (depending on location) 🕒 Flexible – available evenings and weekends

I offer personalized courses that cover a wide range of topics, from the basics of relational database management to advanced data manipulation using query languages such as SQL and tools such as DBSM, MySQL, and PostgreSQL. My courses are tailored to the needs and learning styles of each student, and I am committed to helping my students achieve their individual learning goals. Whether you are a beginner or looking to improve your skills, I can help you develop your relational database management skills and take your expertise in this field to the next level. I am excited to guide you through the world of relational database management and help you master the skills necessary to succeed in this field. Please do not hesitate to contact me for more information about my services and how I can help you achieve your relational database management goals.

In this course you will learn how to transform your data into useful information for decision making through visualizations. You will also create your data model. Cake Graphics. Bar Charts. Dispersion. Measurements. DAX expressions. At the end of the course you will have created your first report in Power BI Desktop.

I have a Master’s degree in Data Science from a UK university and a background in working with students and professionals who want to improve their skills in Python, SQL, or data analysis. I enjoy teaching in a practical, supportive way and always try to explain complex topics in simple terms. I also work on small real-world projects and guide learners through the logic behind every task. My goal is to help you feel confident and make steady progress.

Module 1: SQL Overview Outlining SQL as the cornerstone of database activity Applying the ANSI/ISO standards Describing the fundamental building blocks: tables, columns, primary keys, and foreign keys Module 2: Building the Database Schema - Creating tables and columns Building tables with CREATE TABLE Modifying table structure with ALTER TABLE Adding columns to an existing table Removing tables with DROP TABLE - Protecting data integrity with constraints Guaranteeing uniqueness with primary key constraints Enforcing integrity with foreign key constraints Imposing business rules with check constraints - Improving performance with indexes Expediting data retrieval with indexes Recommending guidelines for index creation Module 3: Manipulating Data - Modifying table contents Adding table rows with INSERT Changing row content with UPDATE Removing rows with DELETE - Applying transactions Controlling transactions with COMMIT and ROLLBACK Deploying BEGIN TRANSACTION in SQL Server Module 4: Working with the SELECT Statement - Writing Single Table queries Retrieving data with SELECT Specifying column expressions Sorting the result with ORDER BY Handling NULL values in expressions - Restricting rows with the WHERE filter Testing for equality or inequality Applying wildcard characters Avoiding NULL value pitfalls Module 5: Querying Multiple Tables - Applying the ANSI/ISO standard join syntax Matching related rows with INNER JOIN Including nonmatched rows with OUTER JOIN Creating a Cartesian product with CROSS JOIN - Combining results with set operators Stacking results with UNION Identifying matching rows with INTERSECT Utilizing EXCEPT to find nonmatching rows Module 6: Employing Functions in Data Retrieval - Processing data with row functions Conditional formatting with the CASE expression Utilizing the CASE expression to simulate IF tests Dealing with NULL values - Performing analysis with aggregate functions Summarizing data using SUM, AVG and COUNT Finding the highest/lowest values with MAX and MIN Defining the summary level with GROUP BY Applying filter conditions with HAVING Module 7: Constructing Nested Queries - Applying subqueries in filter conditions Creating correlated vs. noncorrelated subqueries Testing the existence of rows - Including subqueries in expressions Placing subqueries in the column list Creating complex expressions containing subqueries Handling subqueries that return no rows Module 8: Developing In-Line and Stored Views - Breaking down complex problems Selecting data from a query result set Using subqueries in the FROM clause - Creating views in a database Building reusable code Creating updateable vs. non-updateable views

This course is designed for anyone who wants to learn practical data skills using Python, SQL, and Oracle databases. Whether you're a complete beginner or looking to strengthen your data handling skills, I’ll guide you step-by-step through core concepts and real-world projects. You'll learn: Python programming basics and data analysis tools for data science, data engineering and data analytics SQL queries: SELECT, JOIN, GROUP BY, procedures, Functions and subqueries How to work with Oracle Database: tables, indexes, stored procedures Real-world use cases from business and data science Best practices for clean, efficient, and scalable code Lessons are project-based and tailored to your skill level, whether you're in school, switching careers, or preparing for a job in data or IT.

Experienced teacher in science and doctor in psychology and cognitive neurosciences graduated from the University of Strasbourg (holder of a master 2 in research in Biology and a professional master 2 in scientific communication), I offer private lessons in psychology (cognitive , social, developmental psychology, neuropsychology etc.), neurosciences as well as in statistics (theoretical and applied to experimental protocols) with a personalized methodology according to the needs and potentialities of each student. Thanks to a rigorous pedagogical approach, specific and adapted to each request, I offer effective methodological assistance (references available) to meet the expectations of the students and to achieve or even exceed the objectives set. My courses also include a coaching method to optimize the learning and training necessary to pass university exams in psychology, neuroscience and statistics (as well as your research dissertations and oral defenses with or without PowerPoint support). My courses are aimed at students (in psychology, neurosciences, medicine, etc.) wishing to optimize their performance and marks in exams and competitions. Schools, Universities and teaching institutes: Universities of Strasbourg and Paris 8, CNRS, Ecole Polytechnique, ESSEC Business School, ISTH, IONIS Education Group, EEEA, Institut Tocqueville etc.