Master Data Science; lessons: SQL, Python and PowerBI - Clases particulares

Dar clases particulares

Master Data Science; lessons: SQL, Python and PowerBI

A partir de 29.89 $ /h

As a Data Scientist, on daily bases, I make use of SQLite and T-SQL, Python, and Powerbi.

Therefore, if you need a solution for a real case issue and as training for a preparatory purpose feel free to contact me.

Powebi: Dax calculations, Data visualization, Data creating relationship, Power Query
SQL: Creating Tables, Create Views, how query using multiple conditions, familiarizing operators, and regular expressions
Python: Integrate Python with SQL, Python to use forecasting, Web scraping using HTLM, Web scraping Json

Lugar

Conectado desde Países Bajos

Edad

Adolescentes (13-17 años)

Adultos (18-64 años)

Tercera edad (65+ años)

Nivel del estudiante

Principiante

Intermedio

Avanzado

Duración

60 minutos

La clase se imparte en

inglés

italiano

tigriña

Habilidades

Disponibilidad en una semana típica.

(GMT -05:00)

Nueva York

En línea vía webcam

Mon

Tue

Wed

Thu

Fri

Sat

Sun

00-04

04-08

08-12

12-16

16-20

20-24

In this course you will learn how to transform your data into useful information for decision making through visualizations. You will also create your data model. Cake Graphics. Bar Charts. Dispersion. Measurements. DAX expressions. At the end of the course you will have created your first report in Power BI Desktop.

I am a Ph.D. student at the University of Luxembourg. For the past 4 years, I taught the University: statistics and probability theory to first-year students, and economics to 3th-year students.

I really enjoy teaching. I am looking forward to helping students when they need reinforcement on different subjects, or anyone interested in learning the following topics:

For maths: System of equations, derivatives, integrals, type of equations, etc.

For statistics: Probability theory, descriptive statistics, regression analysis, multivariate analysis, hypothesis testing, and methods for causal inference.

For young professionals: I have extensive experience in data analysis, data management, and statistical modeling. My class mixes both theoretical and practical parts using financial data as examples.

If you are interested, just write me a message telling me what topics are you interested in learning.

A- Intro to programming in Python
1- Variables in Python
2- Mathematics in Python
3- List, Tuples, and Dictionaries in Python
4- Indexing and Slicing in Python
5- Conditional statements and Loops in Python
6- Functions in Python

B- Intro to Data Science
1- Introduction to AI/ML
2- Basic search algorithms
3- Clustering techniques
4- Density-based clustering
5- Classification techniques
6- Multi-Classification techniques
7- Regression techniques
8- Multivariate Regression techniques
9- Dimensionality reduction
10- Data Visualization
11- Power BI

Are you a university student 🎓 aiming to pass your programming exams and seeking guidance? 💻

Then these programming lessons are specially curated for you! 🚀

⦿ Specialized support to conquer university assignments 📚 and excel in exams 📝.

⦿ Hands-on learning through live project development 🔧 to bolster your academic achievements 🎯.

⦿ Access to a wealth of learning materials: 📑 slides, 🎥 videos, 📖 tutorials, and supplementary reading resources 📚.

⦿ Patient, friendly, and supportive teaching approach 🤝. My goal is to assist university students in overcoming programming hurdles and achieving success 💡.

Let's pave the way to exam success together 🏆—join these tailored programming lessons for your academic triumph! 🎯🎓

Course Description:

This comprehensive data science course is designed to take students from beginner to advanced levels, equipping them with the necessary skills to excel in data-driven industries. Through hands-on projects, students will learn to manipulate data, build machine learning models, and effectively communicate insights. Whether you're looking to break into the tech industry or upskill in your current role, this course will provide you with the practical experience and theoretical knowledge needed to succeed.

Course Objectives:

Understand core data science concepts and their applications.

Learn to collect, clean, and preprocess data.

Develop strong programming skills in Python and R.

Build and evaluate machine learning models.

Gain proficiency in data visualization and storytelling.

Apply statistical and predictive modeling techniques.

Work on real-world projects to build a strong portfolio.

Target Audience:

Aspiring data scientists and analysts.

Professionals looking to transition into data science.

University students in STEM fields.

Entrepreneurs interested in leveraging data for business growth.

Prerequisites:

Basic knowledge of programming (Python or R preferred).

Understanding of basic mathematics and statistics.

A laptop capable of running data science tools.

Aprenderás a desarrollar aplicaciones de manera profesional con Java, uno de los lenguajes más usados del mundo tanto en el ámbito profesional como en el desarrollo de videojuegos. Aprenderás a usar SQL para manejar bases de datos y conectar las propias aplicaciones que desarrolles.

Have you ever felt like data speaks to you, but you don't know how to translate it into something others can understand? In this introductory Power BI class, you'll learn how to turn numbers and tables into visual narratives that impact, inform, and convince.

What will you learn?
- Connect and explore your data from scratch.
- To create interactive visualizations that tell a clear story.
- To identify patterns, trends and key findings.
- To build reports that not only inform, but also inspire decisions.

Today, more than ever, companies need professionals who not only analyze data, but also transform it into actionable stories.

With Power BI, you can present your ideas in a visual, dynamic, and professional way, helping your team make faster and better decisions.
You don't need any prior experience, just a desire to transform the way you view and share information.

The Power BI course begins with a study of data modeling, using Access as a basic reference. Once this is understood, we'll work in Excel to import data sources, generate tables, and develop properties using essential Power Query. We'll also cover the use of Power Pivot. This will help you migrate to Power BI and explain the importance of data modeling to achieve professional-level results.

Once the migration is complete, it is easier to create reports using visualizations (Dash Board) and fundamentally the use of DAX and the R language.

Con más de 40 años de experiencia en el sector (desde 1985), imparto formación informática a medida para empresas, academias, institutos y particulares.
Desde el año 1985, he formado a más de 2.500 alumnos, tanto en modalidad presencial como online, utilizando una metodología propia con resultados demostrados Google Sites. Mis servicios incluyen:
• Cursos de informática en formatos diversos: seminarios, clases individuales, grupos, empresas y particulares.
• Formación a medida en lenguajes y tecnologías clave, gestión de proyectos y metodologías adaptadas a cada perfil.
• Desarrollo de aplicaciones informáticas en plataformas como Python-Django, C#, ASP.NET, Delphi, Java J2EE, Spring Framework/Boot, Swift, Android, Arduino, Rust, Julia, NetLogo, PHP... Google Sites
• Cursos online, impartidos mediante herramientas como TeamViewer, Skype, Hangouts, Google Meet, AnyDesk... Google Sites
• Consultoría especializada, tutorías personalizadas y auditoría informática, con enfoque en LOPD y adaptaciones normativas.
• Docencia en formación profesional (Grado Superior DAM) y colaboraciones con Forcem, INEM, Tripartita, FUNDAE y Comunidad de Madrid Google Sites.
• Servicios adicionales, como mantenimiento de redes locales, DevOps para ingenieros y administradores, desarrollo a medida (escritorio, web/intranet, móvil) y asesoramiento en consultoría o programación.

Excel is much used in the daily work life. It's an amazing tool if you know how to work with it. Otherwise, it sill only take a lot of your time. I will learn you everything that excel can offer you and also how to work with it. I can also help you with finding errors in data.

Soy un Titulado en Administración de Sistemas Informaticos y Redes.

Llevo entre 4 y 5 años dedicámdome al sector de la informática, trabajando como Administrador de Sistemas y como Técnico de Soporte Informático.

Soy un apasionado de la enseñanza con 4 años de experiencia ayudando a estudiantes a alcanzar sus metas académicas. Me gusta adaptar mis clases para que cada alumno/a aprenda a su propio ritmo y disfrute el proceso. Con una metodología clara y práctica, hago que cada tema sea fácil de entender. ¡Estoy aquí para acompañarte en tu camino al éxito académico!

El curso de Introducción a la Programación en Python está diseñado para quienes desean desarrollar habilidades prácticas en análisis de datos y automatización. A lo largo del curso, los participantes aprenden desde los fundamentos del lenguaje hasta la manipulación de datos y visualización de información. Se promueve el aprendizaje activo mediante ejercicios, proyectos y casos reales. Al finalizar, los estudiantes adquieren las bases para aplicar Python en entornos académicos y profesionales.

Soy profesor de informática especializado en programación. Ofrezco clases online personalizadas para todos los niveles. Aprenderás a programar con Python, JavaScript, HTML/CSS, bases de datos y lógica computacional. Mis clases son prácticas, claras y adaptadas a tus objetivos. Ideal para estudiantes, adultos o profesionales que quieren mejorar sus habilidades digitales.

Visión 360 del ciclo de vida del software
– Programación de 0 a 100 en Python, Java, Javascript, Typescript, C# y SQL
– Diseño de módulos y patrones de arquitectura (Patrones de diseño, SOLID, Clean Architecture, Hexagonal, DDD)
– Bases de datos relacionales (MySQL, PostgreSQL, MariaDB, SQL Server, Oracle)
– NoSQL (MongoDB, Firebase, Cassandra, Neo4J)

Procesamiento y análisis de datos
– ETL con pandas, Dataform, Airflow, Apache Beam
– Streaming con Apache Spark Streaming y Apache Flink
– Almacenamiento en Data Lakes, Data Warehouses y Lakehouses (BigQuery, Databricks, Redshift)

Desarrollo Backend y APIs
– REST con Spring Boot, FastAPI, Node.js
– Autenticación, pruebas unitarias (JUnit, pytest, Jest)
– Contenerización y despliegue (Docker, Kubernetes, CI/CD)

Frontend y automatización
– Manipulación del DOM, ReactJS, Next.js
– Testing end-to-end, integración de microservicios
– Scripts de automatización y web scraping

As a programmer and data engineer, I fully understand the academic and professional needs that are crucial for success in all sectors. We can learn everything from the basic syntax necessary to understand a language to advanced concepts such as backtracking and NLP.

In this course you will learn how to transform your data into useful information for decision making through visualizations. You will also create your data model. Cake Graphics. Bar Charts. Dispersion. Measurements. DAX expressions. At the end of the course you will have created your first report in Power BI Desktop.

I am a Ph.D. student at the University of Luxembourg. For the past 4 years, I taught the University: statistics and probability theory to first-year students, and economics to 3th-year students.

I really enjoy teaching. I am looking forward to helping students when they need reinforcement on different subjects, or anyone interested in learning the following topics:

For maths: System of equations, derivatives, integrals, type of equations, etc.

For statistics: Probability theory, descriptive statistics, regression analysis, multivariate analysis, hypothesis testing, and methods for causal inference.

For young professionals: I have extensive experience in data analysis, data management, and statistical modeling. My class mixes both theoretical and practical parts using financial data as examples.

If you are interested, just write me a message telling me what topics are you interested in learning.

A- Intro to programming in Python
1- Variables in Python
2- Mathematics in Python
3- List, Tuples, and Dictionaries in Python
4- Indexing and Slicing in Python
5- Conditional statements and Loops in Python
6- Functions in Python

B- Intro to Data Science
1- Introduction to AI/ML
2- Basic search algorithms
3- Clustering techniques
4- Density-based clustering
5- Classification techniques
6- Multi-Classification techniques
7- Regression techniques
8- Multivariate Regression techniques
9- Dimensionality reduction
10- Data Visualization
11- Power BI

Are you a university student 🎓 aiming to pass your programming exams and seeking guidance? 💻

Then these programming lessons are specially curated for you! 🚀

⦿ Specialized support to conquer university assignments 📚 and excel in exams 📝.

⦿ Hands-on learning through live project development 🔧 to bolster your academic achievements 🎯.

⦿ Access to a wealth of learning materials: 📑 slides, 🎥 videos, 📖 tutorials, and supplementary reading resources 📚.

⦿ Patient, friendly, and supportive teaching approach 🤝. My goal is to assist university students in overcoming programming hurdles and achieving success 💡.

Let's pave the way to exam success together 🏆—join these tailored programming lessons for your academic triumph! 🎯🎓

Course Description:

This comprehensive data science course is designed to take students from beginner to advanced levels, equipping them with the necessary skills to excel in data-driven industries. Through hands-on projects, students will learn to manipulate data, build machine learning models, and effectively communicate insights. Whether you're looking to break into the tech industry or upskill in your current role, this course will provide you with the practical experience and theoretical knowledge needed to succeed.

Course Objectives:

Understand core data science concepts and their applications.

Learn to collect, clean, and preprocess data.

Develop strong programming skills in Python and R.

Build and evaluate machine learning models.

Gain proficiency in data visualization and storytelling.

Apply statistical and predictive modeling techniques.

Work on real-world projects to build a strong portfolio.

Target Audience:

Aspiring data scientists and analysts.

Professionals looking to transition into data science.

University students in STEM fields.

Entrepreneurs interested in leveraging data for business growth.

Prerequisites:

Basic knowledge of programming (Python or R preferred).

Understanding of basic mathematics and statistics.

A laptop capable of running data science tools.

Aprenderás a desarrollar aplicaciones de manera profesional con Java, uno de los lenguajes más usados del mundo tanto en el ámbito profesional como en el desarrollo de videojuegos. Aprenderás a usar SQL para manejar bases de datos y conectar las propias aplicaciones que desarrolles.

Have you ever felt like data speaks to you, but you don't know how to translate it into something others can understand? In this introductory Power BI class, you'll learn how to turn numbers and tables into visual narratives that impact, inform, and convince.

What will you learn?
- Connect and explore your data from scratch.
- To create interactive visualizations that tell a clear story.
- To identify patterns, trends and key findings.
- To build reports that not only inform, but also inspire decisions.

Today, more than ever, companies need professionals who not only analyze data, but also transform it into actionable stories.

With Power BI, you can present your ideas in a visual, dynamic, and professional way, helping your team make faster and better decisions.
You don't need any prior experience, just a desire to transform the way you view and share information.

The Power BI course begins with a study of data modeling, using Access as a basic reference. Once this is understood, we'll work in Excel to import data sources, generate tables, and develop properties using essential Power Query. We'll also cover the use of Power Pivot. This will help you migrate to Power BI and explain the importance of data modeling to achieve professional-level results.

Once the migration is complete, it is easier to create reports using visualizations (Dash Board) and fundamentally the use of DAX and the R language.

Con más de 40 años de experiencia en el sector (desde 1985), imparto formación informática a medida para empresas, academias, institutos y particulares.
Desde el año 1985, he formado a más de 2.500 alumnos, tanto en modalidad presencial como online, utilizando una metodología propia con resultados demostrados Google Sites. Mis servicios incluyen:
• Cursos de informática en formatos diversos: seminarios, clases individuales, grupos, empresas y particulares.
• Formación a medida en lenguajes y tecnologías clave, gestión de proyectos y metodologías adaptadas a cada perfil.
• Desarrollo de aplicaciones informáticas en plataformas como Python-Django, C#, ASP.NET, Delphi, Java J2EE, Spring Framework/Boot, Swift, Android, Arduino, Rust, Julia, NetLogo, PHP... Google Sites
• Cursos online, impartidos mediante herramientas como TeamViewer, Skype, Hangouts, Google Meet, AnyDesk... Google Sites
• Consultoría especializada, tutorías personalizadas y auditoría informática, con enfoque en LOPD y adaptaciones normativas.
• Docencia en formación profesional (Grado Superior DAM) y colaboraciones con Forcem, INEM, Tripartita, FUNDAE y Comunidad de Madrid Google Sites.
• Servicios adicionales, como mantenimiento de redes locales, DevOps para ingenieros y administradores, desarrollo a medida (escritorio, web/intranet, móvil) y asesoramiento en consultoría o programación.

Excel is much used in the daily work life. It's an amazing tool if you know how to work with it. Otherwise, it sill only take a lot of your time. I will learn you everything that excel can offer you and also how to work with it. I can also help you with finding errors in data.

Soy un Titulado en Administración de Sistemas Informaticos y Redes.

Llevo entre 4 y 5 años dedicámdome al sector de la informática, trabajando como Administrador de Sistemas y como Técnico de Soporte Informático.

Soy un apasionado de la enseñanza con 4 años de experiencia ayudando a estudiantes a alcanzar sus metas académicas. Me gusta adaptar mis clases para que cada alumno/a aprenda a su propio ritmo y disfrute el proceso. Con una metodología clara y práctica, hago que cada tema sea fácil de entender. ¡Estoy aquí para acompañarte en tu camino al éxito académico!

El curso de Introducción a la Programación en Python está diseñado para quienes desean desarrollar habilidades prácticas en análisis de datos y automatización. A lo largo del curso, los participantes aprenden desde los fundamentos del lenguaje hasta la manipulación de datos y visualización de información. Se promueve el aprendizaje activo mediante ejercicios, proyectos y casos reales. Al finalizar, los estudiantes adquieren las bases para aplicar Python en entornos académicos y profesionales.

Soy profesor de informática especializado en programación. Ofrezco clases online personalizadas para todos los niveles. Aprenderás a programar con Python, JavaScript, HTML/CSS, bases de datos y lógica computacional. Mis clases son prácticas, claras y adaptadas a tus objetivos. Ideal para estudiantes, adultos o profesionales que quieren mejorar sus habilidades digitales.

Visión 360 del ciclo de vida del software
– Programación de 0 a 100 en Python, Java, Javascript, Typescript, C# y SQL
– Diseño de módulos y patrones de arquitectura (Patrones de diseño, SOLID, Clean Architecture, Hexagonal, DDD)
– Bases de datos relacionales (MySQL, PostgreSQL, MariaDB, SQL Server, Oracle)
– NoSQL (MongoDB, Firebase, Cassandra, Neo4J)

Procesamiento y análisis de datos
– ETL con pandas, Dataform, Airflow, Apache Beam
– Streaming con Apache Spark Streaming y Apache Flink
– Almacenamiento en Data Lakes, Data Warehouses y Lakehouses (BigQuery, Databricks, Redshift)

Desarrollo Backend y APIs
– REST con Spring Boot, FastAPI, Node.js
– Autenticación, pruebas unitarias (JUnit, pytest, Jest)
– Contenerización y despliegue (Docker, Kubernetes, CI/CD)

Frontend y automatización
– Manipulación del DOM, ReactJS, Next.js
– Testing end-to-end, integración de microservicios
– Scripts de automatización y web scraping

As a programmer and data engineer, I fully understand the academic and professional needs that are crucial for success in all sectors. We can learn everything from the basic syntax necessary to understand a language to advanced concepts such as backtracking and NLP.

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