Computer courses , Programming , Data Analysis and Web Development - Casablanca - Private lessons

Computer courses , Programming , Data Analysis and Web Development

From 14 $ /h

💻 Computer Programming Classes – Learn to Code from Scratch!

Description:

Our computer programming classes are designed to introduce students of all levels to the world of coding. Whether you're a complete beginner or looking to improve your skills, our structured lessons will guide you through the core concepts of programming using popular languages such as Python, Java, or C++.

In each class, students will learn:

Fundamentals of programming (variables, loops, functions, conditionals)

Problem-solving and logic building

How to write, test, and debug code

Real-world applications like web development, automation, and games

By the end of the course, students will have built their own mini-projects and gained the confidence to continue exploring the world of technology.

Location

|

Use Ctrl + wheel to zoom!

At student's location :

Around Casablanca, Morocco

Online from Morocco

Age

Children (7-12 years old)

Teenagers (13-17 years old)

Adults (18-64 years old)

Seniors (65+ years old)

Student level

Beginner

Intermediate

Advanced

Duration

60 minutes

The class is taught in

English

Arabic

Russian

Skills

Computer science

Computer programming

Availability of a typical week

(GMT -04:00)

New York

Online via webcam

At student's home

Mon

Tue

Wed

Thu

Fri

Sat

Sun

00-04

04-08

08-12

12-16

16-20

20-24

Graduate Engineer in Computer Science offers an individualized pedagogy on computer science in general or in Algorithms and programming also on tools and computer software and databases, My goal is to advance the student without overloading. I give homework after each lesson and periodically provide progress reports.

This course is for beginners and intermediate level students. The goal is to learn to programmed functions and think like a professional in the field.

Course of algorithms:
basics of algorithmic
Declarations of variables
Inspection instructions and repetition
The functions...
Programming course:
C, C ++, PHP, JAVA, C # language
Database courses:
Design methods
SQL language and queries
Database Management Systems, MySQL, PostgreSQL, SQLServer

Algorithms, Databases, Office Automation EXCEL, ACCESS.
SQL, MERISE MCD / MLD, VBA, SPSS Analysis, HTML-CSS Website Development, Wix, Word Press,
(Courses intended for students: ENCG / UIR / HEM / EMSI / HEC / ISTA / EST / CPGE / FSJES Economics / Faculty of Sciences / Preparation for the CNAEM - BCE competition.)

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.

Hello ,
I am a professor of mathematics of the second cycle, TITULAIRE, aggregated with a convincing professional experience of 10 years in public education and in different school systems type MISSION. before being a teacher, I was a state engineer so I am able to be there with you for the preparation for the entrance exams to business or engineering schools.

very cordially,

I am a Data Scientist / Statistical Engineer who specializes in machine learning and data mining services. I have a great experience in the analysis of données and the mise in place of predictive models for the enterprises at the beginning of the decisions.

He proposed designing machine learning and data mining services for companies to help on an additional level of public life. Message domains included:

Aggression styles: linéaire, logistique, multinomiale, poisson, etc.
Classification patterns: arbres de decision, forêts aléatoires, SVM, etc.
Clustering: k-means, DBSCAN, etc.
Réseaux de neurons: Réseaux de neurones artificiels, Réseaux de neurones convolutifs, Réseaux de neurones récurrents, etc.
Traitement du langage naturel: sentiment analysis, text classification, etc.
Chronology analyzes of events: ARIMA, SARIMA, etc.
I want you to help prepare your données, install models, improve performance and the developer. I use these tools to use Python, R, TensorFlow, Keras, PyTorch, scikit-learn, etc.

Don't hesitate to contact me if you have something to do for your machine learning and data extraction projects. I am available for individual descriptions, formations or major projects.

The Merise course is a methodology for the design and development of information systems, in particular databases. It is structured around different steps to analyze, design and implement a database in an IT environment. Here is a general description of the main elements of the Merise Database Management course:
When using the Merise methodology for database design, one generally works with three main types of models:

MCD - Conceptual Data Model: The Conceptual Data Model is a representation of entities, their attributes and the relationships between them, independent of any technical aspect. It is often developed using Entity-Relationship (ER) diagrams. MCD focuses on representing business concepts and the relationships between them. It allows you to visualize the major entities of the organization and their interactions.

MMD - Multidimensional Model: The Multidimensional Model is particularly used in the field of data warehousing. Unlike the traditional relational model (used in operational databases), the multidimensional model is designed to analyze data along different dimensions. It is based on data cubes containing measurements and axes (dimensions) to analyze these measurements. This model is more suitable for decision analysis.

MPD - Physical Data Model: The Physical Data Model is a concrete and technical representation of the structure of the database. It takes into account the specificities of the database management system (DBMS) chosen for implementation. MPD focuses on implementation details such as tables, columns, data types, indexes, constraints, etc.

These three models are generally used as part of the Merise methodology to gradually move from an abstract and conceptual representation of data (MCD) to a more concrete and technical representation (MPD) while taking into account the specific needs of the organization or the project. MMD, on the other hand, is more oriented towards data analysis for decision-making processes and is not directly linked to the physical structure of the database.

Graduate Engineer in Computer Science offers an individualized pedagogy on computer science in general or in Algorithms and programming also on tools and computer software and databases, My goal is to advance the student without overloading. I give homework after each lesson and periodically provide progress reports.

This course is for beginners and intermediate level students. The goal is to learn to programmed functions and think like a professional in the field.

Course of algorithms:
basics of algorithmic
Declarations of variables
Inspection instructions and repetition
The functions...
Programming course:
C, C ++, PHP, JAVA, C # language
Database courses:
Design methods
SQL language and queries
Database Management Systems, MySQL, PostgreSQL, SQLServer

Algorithms, Databases, Office Automation EXCEL, ACCESS.
SQL, MERISE MCD / MLD, VBA, SPSS Analysis, HTML-CSS Website Development, Wix, Word Press,
(Courses intended for students: ENCG / UIR / HEM / EMSI / HEC / ISTA / EST / CPGE / FSJES Economics / Faculty of Sciences / Preparation for the CNAEM - BCE competition.)

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.

Hello ,
I am a professor of mathematics of the second cycle, TITULAIRE, aggregated with a convincing professional experience of 10 years in public education and in different school systems type MISSION. before being a teacher, I was a state engineer so I am able to be there with you for the preparation for the entrance exams to business or engineering schools.

very cordially,

I am a Data Scientist / Statistical Engineer who specializes in machine learning and data mining services. I have a great experience in the analysis of données and the mise in place of predictive models for the enterprises at the beginning of the decisions.

He proposed designing machine learning and data mining services for companies to help on an additional level of public life. Message domains included:

Aggression styles: linéaire, logistique, multinomiale, poisson, etc.
Classification patterns: arbres de decision, forêts aléatoires, SVM, etc.
Clustering: k-means, DBSCAN, etc.
Réseaux de neurons: Réseaux de neurones artificiels, Réseaux de neurones convolutifs, Réseaux de neurones récurrents, etc.
Traitement du langage naturel: sentiment analysis, text classification, etc.
Chronology analyzes of events: ARIMA, SARIMA, etc.
I want you to help prepare your données, install models, improve performance and the developer. I use these tools to use Python, R, TensorFlow, Keras, PyTorch, scikit-learn, etc.

Don't hesitate to contact me if you have something to do for your machine learning and data extraction projects. I am available for individual descriptions, formations or major projects.

The Merise course is a methodology for the design and development of information systems, in particular databases. It is structured around different steps to analyze, design and implement a database in an IT environment. Here is a general description of the main elements of the Merise Database Management course:
When using the Merise methodology for database design, one generally works with three main types of models:

MCD - Conceptual Data Model: The Conceptual Data Model is a representation of entities, their attributes and the relationships between them, independent of any technical aspect. It is often developed using Entity-Relationship (ER) diagrams. MCD focuses on representing business concepts and the relationships between them. It allows you to visualize the major entities of the organization and their interactions.

MMD - Multidimensional Model: The Multidimensional Model is particularly used in the field of data warehousing. Unlike the traditional relational model (used in operational databases), the multidimensional model is designed to analyze data along different dimensions. It is based on data cubes containing measurements and axes (dimensions) to analyze these measurements. This model is more suitable for decision analysis.

MPD - Physical Data Model: The Physical Data Model is a concrete and technical representation of the structure of the database. It takes into account the specificities of the database management system (DBMS) chosen for implementation. MPD focuses on implementation details such as tables, columns, data types, indexes, constraints, etc.

These three models are generally used as part of the Merise methodology to gradually move from an abstract and conceptual representation of data (MCD) to a more concrete and technical representation (MPD) while taking into account the specific needs of the organization or the project. MMD, on the other hand, is more oriented towards data analysis for decision-making processes and is not directly linked to the physical structure of the database.

Good-fit Instructor Guarantee

Contact Rami