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Private lessonsDatabaseDatabase in Paris

11 database teachers in Paris

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11 database teachers in Paris

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(5 reviews)
Jerome - Paris144€
144€PhD in cognitive psychology and statistician teaches psychology, neurosciences and statistics
Trusted teacher: 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.
Statistics · Database · Cognitive psychology
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Chrayet - Aryanah7€
7€Power BI: From raw data to professional dashboards: with practical applications and real-world examples
Specialized in using Power BI and able to configure you on demand, whether you are a beginner who wants to understand the basics of data analysis or a professional seeking to master building advanced reports and dashboards. Microsoft Power BI is considered one of Microsoft's most powerful business intelligence tools, and is widely used in the fields of industry 🏭, finance 💰, commerce 📊, project management 📈, human resources 👥, supply chains 🚚 and more. With Power BI you can: Linking multiple data sources (Excel, ERP, SQL, SharePoint...). Cleaning and transforming data professionally using Power Query. Creating powerful data models using DAX. Interactive and easy-to-read dashboard design. Track Key Performance Indicators (KPIs) in real time. Supporting decision-making through in-depth and accurate data analysis. I offer practical training based on real-world scenarios from your work environment, simplifying technical concepts like Data Modeling and DAX in a systematic and accessible way. The goal is to empower you to transform raw data into strategic insights that help you make smart, fast decisions. Mastering Power BI gives you a strong added value in the job market, and enables you to lead the digital transformation within your organization 🚀 A customized training program can be set up according to your level and professional needs.
Tutoring · Leadership development · Database
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(1 review)
Amine - Paris36€
36€Experienced Engineer & Professor – Advanced Data Analysis & Statistics | Applied Courses | 300+ people | SPSS, R. Jamovi, Jasp
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
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Amine - Lausanne36€
36€Experienced Engineer & Professor - Advanced Data Analysis & Statistics | 300+ people coached | SPSS, R-Studio, Jamovi, JASP
◾ Tools RStudio • SQL • SPSS • SAS • Jamovi • JASP ◾ 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
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Olesia - Paris26€
26€Computer training, Database, Data science, Data Analytics, BI, Big Data
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 Paris evaluate their Database teacher.

To ensure the quality of our Database teachers, we ask our students from Paris to review them.
Only reviews of students are published and they are guaranteed by Apprentus. Rated 4.9 out of 5 based on 36 reviews.

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
Doctor in cognitive psychology and statistician helps you in writing your research dissertation and internship report (Paris)
Jerome
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Very good lesson, nicely structured and very good feedback on my statical methods
Review by NORA

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