Looking to master programming and become a skilled developer? In this course, you will learn the basics and tools to manipulate python and other programming languages as well as using them to build machine learning models. We also provide assistance to students specializing in programming and database management using SQL (CPGE students). Under special request, we provide courses on other programming languages such as C, R studio, MATLAB, ... If you have any further questions, feel free to contact us. Python is a powerful general-purpose programming language. It is used in web development, data science, software prototyping, etc. Fortunately for beginners, Python has a simple and easy to use syntax. This makes Python a great language for learning programming for beginners. In this course, you will learn the basics and tools for manipulating python as well as its use to build machine learning models. We also provide assistance to students specializing in python programming and database management using SQL (CPGE students). On special request, we organize courses on other programming languages such as C, R studio, MATLAB, ... If you have any further questions, please do not hesitate to contact us.

This course is designed to introduce you to computer science and programming. You will learn basic computer science concepts, including algorithms, data structures, and programming paradigms. You will also learn how to write simple programs using Python or C, popular programming languages. Throughout the course, you will work on several projects, including creating a game or program that solves math problems, to help you apply what you have learned. You will also have access to a variety of resources, including online tutorials, discussion forums, and programming blogs, to deepen your understanding of the course material.

Learn to program from scratch in Python with solid foundations with a Mathematician and Data Scientist. We will go into everything from the most basic such as data types, variables, loops, conditionals, to creating your own programs with a graphical interface, or entering the world of Data Science and Machine Learning. We will learn Pandas, Numpy, Sklearn, among other useful libraries in the world of Data Science. We can learn HTML to create web pages. We will see SQL for creating and managing databases.

- B.tech and M.tech in Computer Science - Worked as a Software engineer in Virtusa Corp & DIGIDEZ - More than 6 years of teaching experience - Oracle Certified Developer - Helped students placed in FAANG Featured Review : Been trying to learn Java on my own for about 1 year and I couldn't get a grasp on it. Aniket make learning Java a fun experience and challenges you to think for yourself to reinforce the concepts you've learned. I am truly excited for our meetings and he makes time go by so fast that I'm upset when they end. Great teacher and he is genuinely passionate about your success. If I could give him more stars I would!!! Thanks Aniket

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.

What you will learn: - The Fundamentals: Understand the basics of Python, including variables, loops, and conditions. Perfect for those new to programming. - Object Oriented Programming: Learn to structure your programs using classes and objects, a crucial concept for writing clean, reusable code. - Web Development: Get started with web development with Django or Flask, two of the most popular web frameworks for Python. - Data Science and AI: Discover how Python can be used for data analysis, machine learning and artificial intelligence. - Real Projects: Apply your knowledge to real projects to consolidate your learning and build your portfolio.

I'm an IT engineer, with double master in software engineering ad 6 year do teaching experience. I'am found of english, french languages and IT development teanching. Giving private courses arround the world , is what I love doing in my free time for keeping me socially active! I love giving languages' courses in a new ways of pedagogy and for any students' age : Songs, projects, Poetry, Presentations, films etc.. As for teaching IT developement, my pedagogy is always teaching by practical projects and tutorials. Such as. developping games and usefull virtual services or application, depends of the technology we work on. Be ready for your best english and IT experience with me , it's not like any old way of teaching methodologies! Don't hesitate to reach out for me , if you wish to give it a try! I'll be the very happy to give more than I can to get you to your hopes.

I am a Ph.D. student at the University of Luxembourg. For the past 4 years, I taught the University: statistics and probability theory to first-year students, and economics to 3th-year students. I really enjoy teaching. I am looking forward to helping students when they need reinforcement on different subjects, or anyone interested in learning the following topics: For maths: System of equations, derivatives, integrals, type of equations, etc. For statistics: Probability theory, descriptive statistics, regression analysis, multivariate analysis, hypothesis testing, and methods for causal inference. For young professionals: I have extensive experience in data analysis, data management, and statistical modeling. My class mixes both theoretical and practical parts using financial data as examples. If you are interested, just write me a message telling me what topics are you interested in learning.

In these classes you will learn how to build complete web applications using industry-leading technologies such as React for the frontend and Node.js for the backend, along with Python for scripting and data management tasks. We will explore the design of databases to store and manipulate information efficiently. Immerse yourself in this world of full-stack development and unlock your potential to create innovative and scalable solutions!

You are a highschool student? You have a baccalaureate? You need help with Python (Algorithmic Programming). I am here to teach you ! I am certified from Python Institute (PCAP: Certified Associate in Python Programming) and I work with Python for more than 5 years. I am also a teacher and my students love the way I teach with (simple, clear and always funny)

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

Presentation : Data Science and Data Analytics. Data Scientist in Banking for 3 years. A comprehensive course designed to equip you with the fundamental skills and knowledge needed to thrive in the dynamic field of data science using Python programming language. My classes offer a structured and hands-on approach to mastering Python's powerful tools and libraries for data manipulation, analysis, and visualization. Methodology : - Online course or presencial - Hands-on course with exercises and guidance to solve them - Presentations with theory and examples

Hi Students, Foundation of Data Science is for complete Beginners. This course is In-depth knowledge and hands-on tools to use and work with different kinds of data. Gaining practical experience across the data science pipeline by acquiring proficiency in the data science coding language R. Foundations of Data Science is for those who work with both structured – spreadsheets and data tables – and unstructured data and who need to understand how to automate data to gain insights, contribute to strategic discussions and make data-driven decisions. With my Course you’ll gain a broad understanding of the tools and techniques used to work with data. 1. What is Data: Learn about data types, structures and frameworks 2. Interacting with Data: Understanding how data is used and how to use data 3. Where Data comes from: The processes for acquiring and sharing Data 4. Storing & Structuring Data: Working with different types of databases and data sets 5. Cleaning Data: Working with messy or incomplete data sets 6. Analyzing Data: Gaining insights with data science techniques and tools 7. Visualizing Data: Best practices and tools for data visualization and presentation 8. Machine Learning & Artificial Intelligence: How data is used by machines 9. Working as a Data Scientist: What do data scientists really do? 10. Data & Society: Ethics and the uses of data in society

Specialized course to become a data scientist. I have found a student who wants me to tutor him how to become a data scientist and he has asked me to set up an account on this, so here I am. This course will go through the fundamentals of AI.

I am a data expert, and I offer you a complete 8-hour training course in business intelligence (Data analyst). The training will be organized as follows: - Courses (summary slides) to master the life cycle of a business intelligence project (ETL, data integration, modeling, reporting) - Theoretical exercises on modeling business intelligence problems (star diagram, snowflake diagram). - practical case study using SQL server tools: SSIS, SSAS, SSRS - reports with QlikView