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Discover the Best Private Database Classes in France

For over a decade, our private Database tutors have been helping learners improve and fulfil their ambitions. With one-on-one lessons at home or in France, you’ll benefit from high-quality, personalised teaching that’s tailored to your goals, availability, and learning style.

19 database teachers in France

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19 database teachers in France

Statistics · Database · Cognitive psychology
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(1 review)
Amine - Paris36€
Trusted teacher: ✓ 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
Statistics · Numerical analysis · Database
Trusted teacher: 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
Numerical analysis · Information technology · Database
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Our students from France evaluate their Database teacher.

To ensure the quality of our Database teachers, we ask our students from France to review them.
Only reviews of students are published and they are guaranteed by Apprentus. Rated 4.9 out of 5 based on 42 reviews.

Python (Software Engineers and Data Science): From Basics to Mastery (Brussels)
Mohamed
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I've been studying with Mohamed for several months now, and I can confidently say he is one of the smartest and most effective teachers I've ever worked with. He not only has a deep understanding of Python and Data Science, but he truly knows how to teach. Mohamed has a rare combination of strong technical expertise and outstanding teaching skills. He can explain complex topics in a simple and clear way, and he always chooses examples and exercises that really help you grasp the material. What I value most is his focus on practical application: we don’t get stuck in theory — we move straight to solving tasks that are relevant to real-world work. This makes each lesson extremely useful and efficient 👌🏼
Review by VIKTORIIA
Master Microsoft Excel, Word and PowerPoint from zero to expert! (Paris)
Salah Eddine
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I was able to get 20 out of 20 from my Excel exam in university, thanks to our classes with Mr Salah. I had 0 knowledge on excel before but after learning and exercising with Mr Salah, I got the maximum grade on my exam. Finally now, I really feel confident about my Excel knowledge, all thanks to Mr Salah. I would really recommend it to anyone who has problems with Excel.
Review by SELEN
[PYTHON - Data Science - AI] Learn Python & Data Science & Artificial Intelligence from beginner to advanced (La Celle-sous-Gouzon)
Emna
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Emna is an excellent teacher. Emna makes every lesson fun to learn and my son (9 years) is having fun learning to code. He has taken so much interest after starting Python with Emna that he started coding himself after just 10 lessons! Highly recommend Emna.
Review by NIRAJ
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