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

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I am a Data Science student at university, currently in my third year, and I have been accepted into a prestigious exchange program at the Universidade de Coimbra, one of the oldest and most renowned universities in Europe. This experience has allowed me to broaden my horizons and strengthen my training in an international environment, enriching my approach to technology. I have obtained honors in the subject Programming Fundamentals 2, which is a reflection of my dedication and programming skills. In addition, I have worked on a number of real-life projects covering various areas of Data Science and Artificial Intelligence, such as: Body detection using computer vision Sentiment analysis with real tweets Statistical study of the Airbnb real estate market in New York City Development of an IoT application to monitor sensors in a Data Center Bayesian network modeling for strategic decision making in companies Training an AI model for real-time face and gender detection using a laptop camera Fully Automated Propositional Logic Calculator And best of all, all these projects have been developed entirely in Python, the most in-demand language in the sector. My classes are designed for beginners and intermediate level, where I will guide you step by step to understand the fundamental concepts of programming, the logic behind programming, and how to apply AI to real projects. If you are looking for private lessons in Python, Data Science, or Artificial Intelligence, you are in the right place! Ready to start developing one of the most in-demand skills in today's market? Let's get started!

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

Hello dear students and participants, As a former teacher, I had the privilege of supporting more than 40 students over the past year in their academic progress. I teach the following subjects: mathematics, physics, chemistry, engineering sciences and Excel. Thanks to my personalized and structured approach, I help my students develop their skills, their self-confidence and their autonomy. By working with me you will learn: *Effective resolution methods, *Intensive practice of exercises, *Educational coaching adapted to your needs, *The development of summary revision sheets, *Career guidance to inform your future choices, *Practical practical work in engineering sciences, to anchor concepts in reality. At the same time, as an information technology consulting engineer, I have in-depth expertise in the technical field, with the ability to design and implement innovative solutions in complex environments. Passionate about aeronautics and piloting aircraft, I cultivate essential qualities such as rigor, discipline and rapid decision-making in dynamic environments. This passion fuels my teaching by adding a practical and inspiring perspective.

Artificial Intelligence is a powerful technology that is reshaping industries worldwide. As an AI enthusiast, you'll need to navigate through its many concepts and techniques to build intelligent systems effectively. I've designed this course as a practical guide to AI, specifically created for beginners who want to understand and apply AI from the ground up. You'll learn the fundamentals of machine learning, neural networks, and data processing. Step by step, we’ll explore key concepts like training models, working with datasets, and implementing AI in real-world applications. Through hands-on projects and practical exercises, you'll not only grasp the basics but also gain the confidence to build and experiment with your own AI models. By the end of this course, you’ll have a strong foundation in AI and be able to start exploring more advanced topics, unlocking the full potential of artificial intelligence.

I am currently working as an independent consultant, technical writer, online teacher 🧑‍🏫 and course content developer in Python, 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 experience? ✔️ Understanding the basic concepts (variables & types) ✔️ Math & Statistics (explained easily) ✔️ Data Manipulation (data cleaning, preprocessing...) What topics do I cover for people with Python experience? ✅ Classic libraries: Pandas, NumPy, Scikit-learn, TensorFlow ✅ Data Analytics/Visualization: Plotly, Seaborn, Matplotlib ✅ Domains: Regression, Classification, NLP, LLM, RAG, Computer Vision, Neural Networks, Ensemble Methods, Clustering, Dimensionality Reduction ✅ MLOps: MLflow, Prefect, 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! 😉

In this course, you will learn how to efficiently package, containerize, and deploy Python applications and microservices using Docker. The course covers fundamental Docker concepts, best practices for structuring Python projects, and strategies for building scalable and portable applications. Through hands-on projects, you will gain practical experience in creating Docker images, managing containers, and orchestrating microservices, enabling seamless deployment across different environments. Contact me if you want to have more information about the course!

Improve yourself with the Italian language with mathematics applied to a good motivation. I am a native speaker in Italian and have been familiar with Excel for 25 years and have been motivated all my life. Let's develop together a growth path made of tangible results that you can use immediately on a practical level.

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.

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Mathematics: I am a skilled mathematics teacher with strong academic qualifications. Additionally, I can help your ward to learn Python Programming Language which could help to bridge the gap between industry and academics from a very young age. UG Degree & Grade: 93/07% in B.Sc. (Hons) Mathematics from the University of Delhi PG Degree & Grade: Distinction in MSc in Data Science from The London School of Economics and Political Science

By delving deep into the practical applications of statistics and data science, this course is designed to set you up for success. Learn from real-world examples: Instead of spending hours on theoretical material and trying to relate it to practical issues, we will focus solely on applied statistics. Programming will allow you to apply theory to real-world problems, equipping you with the knowledge and skills you need to succeed. We won’t be spending hours solving math problems by hand for reinforcement, as this isn’t school. Instead, we’ll use cutting-edge methods and code libraries that leverage the latest software releases to maximize productivity and efficiency. If you have any further questions, please do not hesitate to contact us.

Excel is more than just a spreadsheet—it’s a powerful tool for data analysis, problem-solving, and automation. This course is designed to take you from foundational skills to advanced techniques, enabling you to harness Excel's full potential in real-world scenarios. Whether you're managing data, building models, or optimizing workflows, this hands-on course will equip you with the knowledge and practical expertise to excel (pun intended) in any professional environment. Introduction & Foundations - Overview of Excel’s interface and advanced formatting tools - Key functions like LOOKUP for efficient data handling Working with References & Logical Functions - Mastering relative and absolute references, INDIRECT function - Using ranges, lists, and logical/information functions Formatting, Functions, & Shortcuts - Conditional formatting for data insights - Text functions and essential keyboard shortcuts Data Import & Advanced Operations - Importing data from external sources - Working with dates, times, and matrices Data Analysis Tools - Creating and managing data tables - Data validation and pivot tables for deep analysis Advanced Functions & Formula Auditing - Math, statistical, and financial functions - Troubleshooting and auditing worksheets Advanced Analysis & Automation - Form controls, regression analysis, and scenario building - Introduction to macros for automation