Data Analytics Tutorials -- Join the Data Dive: Your Guide to Excel, SQL, Power BI and Python

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Learn Python and understand algorithms and data structures with simple, clear lessons. We'll cover key topics like sorting, searching, and recursion, with hands-on practice to build your skills. Perfect for beginners or anyone looking to improve their coding and problem-solving!

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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

I am currently working as an online teacher 🧑‍🏫 and course content developer in Python, SQL and a wide range of Machine/Deep Learning topics 🧑‍💻. My experience enables me to offer lessons ranging from beginner to advanced levels. I can tailor the classes to your specific needs and schedule, providing a well-structured learning path 🚀. What do you get from me? 👉 Learn at your own pace without any pressure 👉 Well-documented tutorials What topics do I usually cover at the beginning for people without Python/SQL experience? ✔️ Understanding the basic concepts (variables & types) --> Python/SQL ✔️ Math & Statistics (explained easily) --> Python ✔️ Data Manipulation (tables, dataframes, joins,...) --> Python/SQL What topics do I cover for people with Python/SQL experience? ✅ Classic libraries: Pandas, Numpy, Scikit-learn, Tensorflow, Pytorch ✅ Data Analytics/Visualization: Plotly, Seaborn, Matplotlib ✅ Domains: Regression, Classification, NLP, LLM, Computer Vision, Generative AI, Time Series, Neural Networks, Ensemble Methods ✅ MLOps: MLflow, Prefect, Mage, GCP, AWS Whether you are new to the field, seeking to enhance your skills, or require assistance with a work/school project, feel free to reach out to me!😉

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A graduate of EPFL in robotics, mathematics and physics are the foundations of my training. Over the years, I have had the chance to assist many students as a personalized tutor (CVAJ), science popularization workshop facilitator (SPS, EPFL), or as a course assistant (robotics course at EPFL). I assist on: - Mathematics, including the fundamentals up to analysis, trigonometry, algebra... - Physics, particularly mechanical physics. - Computer science, with python courses.

Passionate about programming, we offer Python support courses adapted to all levels, from beginner to advanced. These courses are aimed at students in preparatory classes for grandes écoles (CPGE) as well as anyone wishing to acquire solid programming skills. The lessons cover the essential foundations of Python with a clear and accessible teaching approach. Whether you are new to programming or want to deepen your knowledge, you will benefit from structured and progressive teaching. With a focus on concrete concepts and practical examples, these courses aim to strengthen your skills in a tangible way. You will be guided through the nuances of Python, gaining a deep understanding that will benefit you both in your studies and in your future career. Join us to explore the fundamentals of Python programming and progress to more advanced levels. Together, we will build a solid foundation and develop the skills needed to succeed in the dynamic world of computer programming.

Looking to master programming and become a skilled developer? In this course, you'll learn the basics of Python and other programming languages, as well as how to use them to build machine learning models. We also offer specialized assistance for students in programming and database management using SQL (CPGE students). Python is a powerful general-purpose language used in web development, data science, software prototyping, and more. Its simple and easy-to-use syntax makes it an excellent choice for beginners learning to program. Additionally, upon request, we offer courses in other programming languages such as C, R, and MATLAB. Classes can be conducted remotely or in person, and we tailor our instruction to meet individual or group needs. If you have any questions, feel free to contact us.

Advanced Courses: Physics from Secondary to University and Advanced Python Programming Focused on Efficiency Explore the frontiers of scientific knowledge and computer programming with our unique advanced course. This integrated program offers an in-depth approach to physics from high school to university level, while emphasizing efficiency in advanced programming in Python. Physics from Secondary to University: Immerse yourself in the wonders of physics, from fundamental high school concepts to the exciting challenges of college. Topics include mechanics, electromagnetism, optics, thermodynamics and much more. Our instructors, experts in their field, guide students through hands-on demonstrations, computer simulations, and laboratory experiments to strengthen understanding of the physical laws that govern our universe. University courses focus on specialized areas, such as quantum physics, relativity, and interdisciplinary fields. Research projects provide students with the opportunity to explore practical applications of physics in a variety of fields. Advanced Python Programming Focused on Efficiency: In the programming component, the course looks at taking Python skills to an advanced level, emphasizing code efficiency. Participants will learn advanced programming techniques, efficient resource management, code optimization, and leveraging advanced Python features. Advanced topics such as concurrent programming, big data manipulation, and complex application development are covered. Students will have the opportunity to work on practical projects, implementing innovative and optimized solutions. Teaching Methodology: The teaching approach is based on a combination of lectures, tutorials and research projects. Students are encouraged to actively participate in discussions, collaborate on projects, and apply their knowledge in practical ways. Experienced instructors provide personalized coaching to maximize each student's potential. Course Objectives: 1. Gain an in-depth understanding of physical principles, from high school to university. 2. Master advanced Python programming focused on efficiency. 3. Develop practical skills through research projects and computer applications. 4. Prepare students to tackle complex challenges in physics and programming. Join our advanced course to discover the exciting marriage between physics and advanced programming in Python, and develop your expertise in these dynamic areas.