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Find the Best Online Numerical analysis Tutors & Teachers for Private Lessons

For over a decade, our private Numerical analysis tutors have been helping learners improve and fulfil their ambitions. With one-on-one lessons online, you’ll enjoy high-quality, personalised teaching that’s tailored to your goals, availability, and learning style.

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152 online numerical analysis teachers

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
I am Stephen, now living in Schwaig bei Nuernberg, Bayern, Germany. Prior to moving here, I lived all my life in New Zealand. With 20 years of experience of successful classroom teaching, including 9 years as HoD of an Anglican Girls School in rural New Zealand, I can help students of all abilities and at all levels of high school. I am happy to start with ages 12-16, as these years are where the foundation for successful maths is built. I work hard to build a good rapport with students. I ask questions to understand where students are up to and to diagnose their strengths and weaknesses. I expect students to ask me as many questions as they need to grasp a concept, to practice it, to apply it, and to master it. I am innovative and flexible and bring plenty of ways to make maths interesting. I know many students are not big fans of maths, but I help them to believe they can still be good at maths and can learn with confidence. I am a supportive and encouraging teacher, and I have helped many students to improve and to succeed in maths. I have given many one-on-one tutorials at lunchtimes and after school, so I am very comfortable with individual tuition. I enjoy teaching, and I really want students to enjoy learning. This often shows up in increased motivation and a willingness to tackle topics students might have thought were beyond them. Together we can enjoy learning. I love helping students to 'get maths', and I will stick with them until they do. I hope you will consider me as your personal tutor.
Algebra · Geometry · Numerical analysis
Math · Algebra · Numerical analysis
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