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Since June 2015
Instructor since June 2015
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Computer Course Website Creation, Software Engineering, Database
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From 41.75 C$ /h
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This course will allow you to have bases in the development of website, software engineering and partly databases. The goal is to learn how to create a website or other software according to the methodologies used in large companies. Around this course you will learn to use all the fashionable tools used in corporate projects (git, subversion, scrum, agile, ...). At the end of this course you will:

1. gain the experience of a true computer development engineer
2. Learn how to highlight the knowledge acquired in a CV
3. be ready to integrate a computer structure.
Extra information
You need a computer
Location
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At student's location :
  • Around Paris, France
Age
Adults (18-64 years old)
Seniors (65+ years old)
Student level
Beginner
Intermediate
Advanced
Duration
60 minutes
90 minutes
120 minutes
The class is taught in
French
English
Availability of a typical week
(GMT -04:00)
New York
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At student's home
Mon
Tue
Wed
Thu
Fri
Sat
Sun
00-04
04-08
08-12
12-16
16-20
20-24
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Do you want to learn programming, create a website, develop an application, or improve your skills in C# / .NET / React? I offer personalized courses tailored to your level, whether you are a beginner, student, adult career changer, or already a junior developer.

This course is practice-oriented: the goal is not just to learn the theory, but to understand how to create real projects, write clean code and progress step by step.

We can work on several topics depending on your needs:

Programming basics: variables, conditions, loops, functions, arrays
Algorithms and problem-solving logic
C# and .NET / .NET Core
Creating backend APIs with ASP.NET Core
Databases: SQL, SQL Server, queries, relationships, CRUD
Web development: HTML, CSS, JavaScript, TypeScript
React: components, props, state, hooks, routing, API calls
Frontend/backend connection with React + .NET
Git, GitHub and best practices for version control
Debugging, error fixing, and code improvement
Clean code, simple architecture, project organization
Introduction to artificial intelligence in development: ChatGPT, code generation, debugging assistance, automation
Preparation for technical interviews: algorithms, C# exercises, code explanations

Examples of possible projects:

web application with React
API in C# / .NET
user login system
mini dashboard
CRUD application with database
developer portfolio
student or professional project

My method is progressive, clear, and results-oriented. We'll move at your pace, with simple explanations, practical exercises, and concrete examples. I can help you from scratch or support you on an existing project.

The goal is to make you more autonomous, more confident, and able to truly understand what you are developing.
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Learning to program is not just about writing code. It's about learning to analyze a problem, construct a line of reasoning, and develop effective solutions.

For over 35 years, I have been supporting university students, engineering school students and adults retraining in learning computer science and programming.

Whether you are a beginner or preparing for an exam, a university project or a technical interview, I adapt to your level and your objectives.

Subjects taught
Python
Java
SQL and databases
Algorithmic
Data structures
Object-oriented programming (OOP)
Program design and debugging
What we work on together
Understanding fundamental concepts rather than memorizing code.
Develop a problem-solving method.
Correct and improve your programs.
Prepare for practical work, projects and exams.
Acquire good programming practices used in higher education and in business.
A pedagogy based on practice

Each session alternates between explanations, demonstrations, and exercises. We write, test, and debug the code together so that you understand not only how to program, but more importantly, why a solution works.

When it's helpful, I also show you how to use programming assistance tools thoughtfully, including AI-powered assistants. The goal isn't to let AI program for you, but to teach you how to verify, understand, and improve the solutions it provides.

Session Procedure

60-minute session

Ideal for solving a specific problem, understanding a difficult concept, or correcting a program.

90-minute session

Recommended for a university project, a complete refresher course or exam preparation.

My commitment

My goal is for you to gradually become independent. At the end of each session, you should be able to understand your code, explain your choices, and continue your work with greater confidence.

I will be happy to support you in your progress, whatever your starting level.
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I offer courses in data development / database / machine learning / data science (python):

I also offer the possibility of helping you with the realization of your academic projects.

We support you in the Data development of your business.

-1- Databases & Data warehouses (AWS / Google Cloud / Azure Cloud)
-2- Machine Learning
-3- Deep Learning (tensorflow, pytorch, RNN, CNN, LSTM)
-4- Data Processing
-5- Machine Learning design and deployment (docker, ...)
-6- Data Pipelines
-7- Google Sheets with Realtime Pipelines, Macro (VBA) & Database Connection
-8- Online dashboards on browsers or on your Excel, Google Sheets (Python, R, Power BI, Tableau, Kibana, etc.)

- Our Tech Stack -

- Databases:
AWS DynamoDB, Amazon Redshift, PostgreSQL, MySQL, multi-cube DBs (EPM / BI platform)
- Languages:
Python, Spark (Scala, Python, Java), JavaScript, CSS, HTML
- Development environment:
JSON, SQL, NoSQL, Bash Shell Scripting, Jupyter Notebook, Anaconda, REST API, VSCode, DBeaver, Google services, Platform as a Service (PAAS), Apache Airflow, Serverless Computing, SublimeText
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Amazon Web Services, Azure Databricks, Google GCP (Google Firebase)
- Data Lake AWS / Databricks:
EC2 (Linux), IAM, Amazon MWAA (Managed Workflows for Apache Airflow), Lambda, S3, DynamoDB, RedShift; Kibana, Azure Databricks, CloudFormation
- Web crawling / Scraping:
Python Scrapy
- Data streaming:
Airflow, Kafka
- Data visualization / ETL:
Python, Kibana, Tableau, Power BI & DAX, Excel Power Query (and lang.M)
- Continuous integration workflows (CI / CD):
Docker / Google cloud / Kubernetes; Amazon ECS)
- Containerized applications:
Docker (Docker container, Docker-compose)
- Virtualization technologies:
VirtualBox, Vmware
- Agile tools:
Version control (Git / GitLab), tickets (JIRA), Bitbukets, Trello, Wiki (Confluence), Jetbrains
- OS:
Linux, Windows
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Amine
✓ Tools

RStudio • SQL • SPSS • SAS • Jamovi • JASP • Excel

✓ Statistical Methods & Tests

Student's t-test • ANOVA • MANOVA • ANCOVA • Regression (linear & logistic) • Correlation • Chi-square • Nonparametric tests • PCA • MCA • Exploratory factor analysis • Classification / Clustering • Mediation • Moderation • Interpretation

✓ Data analysis & decision support

- Data preparation, structuring and validation using SAS, R and SQL

- Descriptive, exploratory and multivariate statistical analyses on business data

- Production of performance indicators and actionable analyses to support decision-making

✓ Selection and implementation of methods

- Preparation and structuring of databases

- Hypothesis testing and univariate, bivariate and multivariate analyses (ANOVA / ANCOVA)

- Linear and logistic regressions

- Factor analyses (PCA / MCA)

- Mediation and moderation models

- Classification / clustering

1) Academic support

- Lectures, tutorials, projects and assignments in statistics

- Help in understanding and interpreting the results

- Preparation for exams and academic presentations

2) Statistical analysis

- Descriptive statistics (univariate and bivariate)

- Multivariate analyses

- Data exploration and outlier detection

3) Statistical tests

- Correlations (Pearson, Spearman, Cohen's Kappa)

- t-tests (one and two samples, independent or paired)

- Chi-square, binomial tests

- z-scores and associated indicators

4) Statistical modeling

- Linear regressions (simple and multiple)

- Logistic regression

- Interpretation of coefficients, diagnostics and validation of models

5) ANOVA & ANCOVA

- One- or multi-factor ANOVA

- Repeated measures ANOVA

- Fixed and random effects

- Post-hoc tests and effect sizes

6) Factor analyses

- ACP / PCA (scree plot, factor scores, matrices)

- Exploratory factor analysis

- Factorial rotations

- Validation and interpretation of structures and clusters

✓ Reporting & communication

- Clear, structured and concise reporting of results

- Visualizations tailored to decision-makers

- Support for strategic and operational decision-making
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Contact Anse
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Good-fit Instructor Guarantee
Similar classes
arrow icon previousarrow icon next
verified badge
Farzad
Do you want to learn programming, create a website, develop an application, or improve your skills in C# / .NET / React? I offer personalized courses tailored to your level, whether you are a beginner, student, adult career changer, or already a junior developer.

This course is practice-oriented: the goal is not just to learn the theory, but to understand how to create real projects, write clean code and progress step by step.

We can work on several topics depending on your needs:

Programming basics: variables, conditions, loops, functions, arrays
Algorithms and problem-solving logic
C# and .NET / .NET Core
Creating backend APIs with ASP.NET Core
Databases: SQL, SQL Server, queries, relationships, CRUD
Web development: HTML, CSS, JavaScript, TypeScript
React: components, props, state, hooks, routing, API calls
Frontend/backend connection with React + .NET
Git, GitHub and best practices for version control
Debugging, error fixing, and code improvement
Clean code, simple architecture, project organization
Introduction to artificial intelligence in development: ChatGPT, code generation, debugging assistance, automation
Preparation for technical interviews: algorithms, C# exercises, code explanations

Examples of possible projects:

web application with React
API in C# / .NET
user login system
mini dashboard
CRUD application with database
developer portfolio
student or professional project

My method is progressive, clear, and results-oriented. We'll move at your pace, with simple explanations, practical exercises, and concrete examples. I can help you from scratch or support you on an existing project.

The goal is to make you more autonomous, more confident, and able to truly understand what you are developing.
verified badge
Adam
Learning to program is not just about writing code. It's about learning to analyze a problem, construct a line of reasoning, and develop effective solutions.

For over 35 years, I have been supporting university students, engineering school students and adults retraining in learning computer science and programming.

Whether you are a beginner or preparing for an exam, a university project or a technical interview, I adapt to your level and your objectives.

Subjects taught
Python
Java
SQL and databases
Algorithmic
Data structures
Object-oriented programming (OOP)
Program design and debugging
What we work on together
Understanding fundamental concepts rather than memorizing code.
Develop a problem-solving method.
Correct and improve your programs.
Prepare for practical work, projects and exams.
Acquire good programming practices used in higher education and in business.
A pedagogy based on practice

Each session alternates between explanations, demonstrations, and exercises. We write, test, and debug the code together so that you understand not only how to program, but more importantly, why a solution works.

When it's helpful, I also show you how to use programming assistance tools thoughtfully, including AI-powered assistants. The goal isn't to let AI program for you, but to teach you how to verify, understand, and improve the solutions it provides.

Session Procedure

60-minute session

Ideal for solving a specific problem, understanding a difficult concept, or correcting a program.

90-minute session

Recommended for a university project, a complete refresher course or exam preparation.

My commitment

My goal is for you to gradually become independent. At the end of each session, you should be able to understand your code, explain your choices, and continue your work with greater confidence.

I will be happy to support you in your progress, whatever your starting level.
verified badge
Olesia
I offer courses in data development / database / machine learning / data science (python):

I also offer the possibility of helping you with the realization of your academic projects.

We support you in the Data development of your business.

-1- Databases & Data warehouses (AWS / Google Cloud / Azure Cloud)
-2- Machine Learning
-3- Deep Learning (tensorflow, pytorch, RNN, CNN, LSTM)
-4- Data Processing
-5- Machine Learning design and deployment (docker, ...)
-6- Data Pipelines
-7- Google Sheets with Realtime Pipelines, Macro (VBA) & Database Connection
-8- Online dashboards on browsers or on your Excel, Google Sheets (Python, R, Power BI, Tableau, Kibana, etc.)

- Our Tech Stack -

- Databases:
AWS DynamoDB, Amazon Redshift, PostgreSQL, MySQL, multi-cube DBs (EPM / BI platform)
- Languages:
Python, Spark (Scala, Python, Java), JavaScript, CSS, HTML
- Development environment:
JSON, SQL, NoSQL, Bash Shell Scripting, Jupyter Notebook, Anaconda, REST API, VSCode, DBeaver, Google services, Platform as a Service (PAAS), Apache Airflow, Serverless Computing, SublimeText
- Clouds:
Amazon Web Services, Azure Databricks, Google GCP (Google Firebase)
- Data Lake AWS / Databricks:
EC2 (Linux), IAM, Amazon MWAA (Managed Workflows for Apache Airflow), Lambda, S3, DynamoDB, RedShift; Kibana, Azure Databricks, CloudFormation
- Web crawling / Scraping:
Python Scrapy
- Data streaming:
Airflow, Kafka
- Data visualization / ETL:
Python, Kibana, Tableau, Power BI & DAX, Excel Power Query (and lang.M)
- Continuous integration workflows (CI / CD):
Docker / Google cloud / Kubernetes; Amazon ECS)
- Containerized applications:
Docker (Docker container, Docker-compose)
- Virtualization technologies:
VirtualBox, Vmware
- Agile tools:
Version control (Git / GitLab), tickets (JIRA), Bitbukets, Trello, Wiki (Confluence), Jetbrains
- OS:
Linux, Windows
verified badge
Amine
✓ Tools

RStudio • SQL • SPSS • SAS • Jamovi • JASP • Excel

✓ Statistical Methods & Tests

Student's t-test • ANOVA • MANOVA • ANCOVA • Regression (linear & logistic) • Correlation • Chi-square • Nonparametric tests • PCA • MCA • Exploratory factor analysis • Classification / Clustering • Mediation • Moderation • Interpretation

✓ Data analysis & decision support

- Data preparation, structuring and validation using SAS, R and SQL

- Descriptive, exploratory and multivariate statistical analyses on business data

- Production of performance indicators and actionable analyses to support decision-making

✓ Selection and implementation of methods

- Preparation and structuring of databases

- Hypothesis testing and univariate, bivariate and multivariate analyses (ANOVA / ANCOVA)

- Linear and logistic regressions

- Factor analyses (PCA / MCA)

- Mediation and moderation models

- Classification / clustering

1) Academic support

- Lectures, tutorials, projects and assignments in statistics

- Help in understanding and interpreting the results

- Preparation for exams and academic presentations

2) Statistical analysis

- Descriptive statistics (univariate and bivariate)

- Multivariate analyses

- Data exploration and outlier detection

3) Statistical tests

- Correlations (Pearson, Spearman, Cohen's Kappa)

- t-tests (one and two samples, independent or paired)

- Chi-square, binomial tests

- z-scores and associated indicators

4) Statistical modeling

- Linear regressions (simple and multiple)

- Logistic regression

- Interpretation of coefficients, diagnostics and validation of models

5) ANOVA & ANCOVA

- One- or multi-factor ANOVA

- Repeated measures ANOVA

- Fixed and random effects

- Post-hoc tests and effect sizes

6) Factor analyses

- ACP / PCA (scree plot, factor scores, matrices)

- Exploratory factor analysis

- Factorial rotations

- Validation and interpretation of structures and clusters

✓ Reporting & communication

- Clear, structured and concise reporting of results

- Visualizations tailored to decision-makers

- Support for strategic and operational decision-making
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