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Discover the Best Private Computer science Classes in Canary Wharf

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Trusted teacher: Student in 4th year of ENS Ulm in mathematics as well as gluer in PSI* and MP at Lycée Louis-le-Grand, and in PCSI and MP at Lycée Pierre-Gilles-de-Gennes, I put at your disposal my knowledge and my experience from my career. Course location: The courses take place by videoconference, using the Teams software. I use: - my Mac computer (microphone and webcam working) - a Samsung graphic tablet in the format of an A4 sheet allowing me to write the course that I give to the student so that he/she keeps a written record and that I send systematically at the end of the course. The videoconference format offers several advantages: - more availability for me and my student by operating remotely - no risk linked to transport (delay) - possibility to record the course and the explanations - shared folder allowing me to send interesting documents to the student in real time. Course of a lesson: The course begins with a discussion with the student to identify and prioritize the points he wishes to work on. During the session, two formats are possible: - "short lesson" for the student, rereading of his lesson, explanation of definitions and theorems, resumption of demonstrations by highlighting the most important proofs and clarifying the intuitions behind these proofs. Simple but striking examples of my invention make it possible to illustrate and reinforce the memorization of the lesson by the student; - resolution of new exercises, chosen by the student or that I suggest to him. During the time of reflection, I prepare the possible solutions and especially I observe its strong points and its difficulties in the resolution of the problem. If he has difficulties I give him indications and not the complete solution. So I avoid simply giving an answer key that the student will end up "learning by heart". If he finally wants a correction of the exercise, I take care to explain to him the whole process of the solution, even if it means repeating steps that are not clear, and I give a written record of the solution to the student. Within a course, it is of course natural to go back and forth between these two formats. At the end of the session, I discuss with him the points he can improve and make personalized suggestions. The student can ask me for exercises or send me his course documents to prepare for the next session. What I propose: - courses at all levels in mathematics, physics-chemistry and computer science; - preparation for competitions at all levels (X, ENS, Centrale, Mines-Ponts, CCINP or e3a // HEC, ESSEC, ESCP and other business schools); -preparation for the requirements of the preparation from high school ("Prépa à la Prépa" format). Preparation for the Terminale general competition (I obtained a mention there thanks to an independent preparation), for the National Mathematics Olympiads, for the Animath Cup ... I am proficient in Python, OCaml, C and SQL computer languages. Do not hesitate to contact me if you need any information!
Math · Physics · Computer science
Computer programming · Computer science · Software engineering
Trusted teacher: Welcome to the basics of Data Science with Python applied to real cases! In this course, we will cover the fundamental concepts and techniques of data science using the Python programming language. The course will begin with an overview of the key concepts in data science, including data types, data structures, and statistical analysis. We will then move on to cover the basics of Python programming, including variables, data types, loops, functions, and classes. Once we have covered the fundamentals of Python programming, we will dive into the world of data analysis and manipulation with the Pandas library. You will learn how to import, clean, and transform data using Pandas and how to perform basic statistical analysis on data. Next, we will explore data visualization with Matplotlib and Seaborn libraries. You will learn how to create different types of plots and charts to visualize data and gain insights from it. In the second half of the course, we will apply what we have learned to real-world data science problems. You will work on projects that involve cleaning and analyzing real datasets, such as census data, financial data, or climate data. Throughout the course, you will have access to a variety of resources, including lectures, readings, exercises, and quizzes. You will also have the opportunity to collaborate with other students and receive feedback from your instructors. By the end of this course, you will have a solid understanding of the basics of data science with Python and how to apply it to real-world problems. You will be able to use Python to perform data analysis, create visualizations, and draw insights from data.
Python · Database · Computer science
Trusted teacher: As a university professor specializing in statistics and mathematics. In addition to that, I obtained many certificates in computer training, and after my previous experience as a computer trainer in many training centers, it was necessary for me to master the use of the Excel program at its basic and advanced levels. As a result, I prepared two lessons that included distinct explanations in Arabic and English, according to the trainee’s language. As a university professor specialized in statistics and mathematics, and with multiple certifications in computer training, in addition to my prior experience as a computer trainer in various training centers, it was imperative for me to master the use of Excel at both basic and advanced levels. . Consequently, I have prepared two lessons, presented in both Arabic and English, which include comprehensive explanations. Lesson One: Introduction to using Excel In this lesson, you will introduce basic concepts about Excel in a simplified way. You can include the following: Explanation of the Excel interface: Explanation of the main interface elements such as the toolbar and navigation bar. Create a simple table: How to create a basic table in Excel and enter data into cells. Simple Calculations: How to use basic arithmetic operations such as addition, subtraction, multiplication, and division. Data formatting: How to format data so that fonts, colors, and style can be changed. Lesson 1: Introduction to Using Excel In this lesson, I will provide a simplified explanation of basic Excel concepts, covering: Excel Interface: An overview of the main elements of the interface, such as the toolbar and the navigation bar. Creating a Simple Table: How to create a basic table in Excel and input data into cells. Basic Calculations: How to perform fundamental mathematical operations such as addition, subtraction, multiplication, and division. Data Formatting: How to format data, including changing fonts, colors, and styles. Lesson Two: Excel for the advanced level This lesson can be targeted at people who want to use Excel for more complex purposes. You can include the following topics: Functions and equations: An explanation of the use of built-in functions such as SUM and AVERAGE, but not limited to, and custom equations. Dynamic Tables: How to create dynamic tables and use them to analyze data. Conditional formatting: How to set up conditional formatting of cells based on certain rules. Graphs: How to create graphs and use them to visualize data. Data Review: Explain how to use review tools such as filters, sorting, and searching. Within each lesson, you can include interactive examples and hands-on exercises to help students apply the concepts explained. Students can also be directed to additional resources for delving deeper into Excel if they are interested. On the practical side, you can use Excel to create examples and practical exercises that help students apply the concepts taught in the lessons. Thus, you will have excellent lessons to teach basic and advanced use of Excel. Lesson 2: Advanced Excel This lesson is designed for individuals who wish to utilize Excel for more complex purposes. It will cover the following topics: Functions and Equations: Explanation of using built-in functions like SUM, AVERAGE, and more, as well as creating custom equations. Pivot Tables: How to create pivot tables and use them for data analysis. Conditional Formatting: How to set up conditional formatting for cells based on specific criteria. Charts and Graphs: Create charts and graphs to visualize data. Data Review: Explanation of tools for data review, such as filters, sorting, and search. Within each lesson, interactive examples and practical exercises will be included to help students apply the concepts taught. Additionally, students can be directed to additional resources for further in-depth exploration of Excel if they are interested. These lessons will ensure that students can learn how to use Excel effectively at both basic and advanced levels, benefiting from my expertise in the field.
Computer science · Microsoft office · Microsoft excel
Computer programming · Python · Computer science
Database · Computer science
Math · Physics · Computer science
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Only reviews of students are published and they are guaranteed by Apprentus. Rated 4.7 out of 5 based on 36 reviews.

Hindi, English classes by Sachin from India, a native Hindi speaker and proficient in English
Sachin
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Wonderful teacher, very patient, kind and fun to have classes with. Just after three lessons, my Hindi has improved. He has a great approach and structure with teaching. I always look forward to my next class. I highly recommend Sachin to those who would like to learn Hindi.
Review by NADIA
Mathematics, Statistics, and Econometrics up to university level | 3 diplomas (Rotterdam)
Yinhao
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Amazing at explain complex concepts and breaking it down in simple words. It really helped me prepare well for my exams.
Review by USER
Office automation courses with Microsoft Office or Open / LibreOffice (Saint-Gilles)
Corinne
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Excellente prestation. Grande disponibilité.
Review by ALAIN
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