SQL Server, Power BI, MSBI (SSIS, SSAS - DAX, MDX), Azure Cloud Computing - Paris - Private lessons

SQL Server, Power BI, MSBI (SSIS, SSAS - DAX, MDX), Azure Cloud Computing

From 21.71 C$ /h

Hello Folks, I am Database Architect. I enjoy teaching.
I can teach SQL Server, Power BI, MSBI (SSIS, SSAS - DAX, MDX), Azure Cloud Computing

Location

|

Use Ctrl + wheel to zoom!

At student's location :

Around Paris, France

Age

Adults (18-64 years old)

Student level

Beginner

Intermediate

Advanced

Duration

30 minutes

45 minutes

60 minutes

90 minutes

120 minutes

The class is taught in

English

Skills

Microsoft sql server

Availability of a typical week

(GMT -04:00)

New York

At student's home

Mon

Tue

Wed

Thu

Fri

Sat

Sun

00-04

04-08

08-12

12-16

16-20

20-24

I specialize in tutoring Power BI. My goal is to keep students challenged, but not overwhelmed. I assign homework after every lesson and pro

21.71 C$ /h

I specialize in tutoring Power BI. My goal is to keep students challenged, but not overwhelmed. I assign homework after every lesson and provide periodic progress reports.

I specialize in tutoring Power BI. My goal is to keep students challenged, but not overwhelmed. I assign homework after every lesson and provide periodic progress reports.

Read more

Senior consultant with a degree in computer engineering gives private lessons in computer science (Java, C, C ++, BD, Programming, database ...).
I have 5 years experience in teaching in the computer field.
See you soon, I hope :

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.

Currently studying at school 42, I propose computer courses in Paris for databases:
MySQL
PostgreSQL

Database Architecture, Database Design, Stored Procedures, etc.

I can also help for AI, algorithm, git as well as on the UNIX system.

I remain at your disposal for any questions.

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.

Student at University of Paris gives mathematics lessons for primary, secondary and bachelor's levels.
As a math teacher, I consider that my role is not only to teach the subject, but to give you the necessary tools that will allow you to progress sustainably and achieve your academic and personal goals.

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.

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

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.

Master Python with Personalized Courses

Discover the art of programming with Python courses tailor-made to meet your specific needs. Whether you are a beginner, intermediate or professional, my lessons are suitable for all levels.

Why Choose My Courses?

Personalized Teaching Approach: Each course is tailored to your skill level and individual goals.

Practical Experience: Learn by doing with real-world projects that build your understanding and skills.

Ongoing Support: Get unlimited email support for any questions you have between sessions.

As a Python expert, I have a passion for teaching and sharing my knowledge. My goal is to guide you effectively in your learning journey.

Book Your First Lesson:

Start your journey to Python mastery now by booking your first lesson. Whether you aspire to enter the development field or hone your existing skills, these courses are designed for you.

✓ 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

Senior consultant with a degree in computer engineering gives private lessons in computer science (Java, C, C ++, BD, Programming, database ...).
I have 5 years experience in teaching in the computer field.
See you soon, I hope :

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.

Currently studying at school 42, I propose computer courses in Paris for databases:
MySQL
PostgreSQL

Database Architecture, Database Design, Stored Procedures, etc.

I can also help for AI, algorithm, git as well as on the UNIX system.

I remain at your disposal for any questions.

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.

Student at University of Paris gives mathematics lessons for primary, secondary and bachelor's levels.
As a math teacher, I consider that my role is not only to teach the subject, but to give you the necessary tools that will allow you to progress sustainably and achieve your academic and personal goals.

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.

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

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.

Master Python with Personalized Courses

Discover the art of programming with Python courses tailor-made to meet your specific needs. Whether you are a beginner, intermediate or professional, my lessons are suitable for all levels.

Why Choose My Courses?

Personalized Teaching Approach: Each course is tailored to your skill level and individual goals.

Practical Experience: Learn by doing with real-world projects that build your understanding and skills.

Ongoing Support: Get unlimited email support for any questions you have between sessions.

As a Python expert, I have a passion for teaching and sharing my knowledge. My goal is to guide you effectively in your learning journey.

Book Your First Lesson:

Start your journey to Python mastery now by booking your first lesson. Whether you aspire to enter the development field or hone your existing skills, these courses are designed for you.

✓ 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

Good-fit Instructor Guarantee

Contact Vivek