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Data Science with Python - Master Data Visualization with Matplotlib and Seaborn

This course will help you create powerful visualizations with Python, analyze time series, and automate everyday tasks. Prepare for a data-driven future and sign up for the career path of the 21st century with the greatest potential. This course is ideal for you!

By Ivan Pinar Dominguez | Master in Project Management from ESDEN Business School

👥2.500
(10)
$15.99 USD $67.00

15 day refund guarantee

This course includes:

▪️ 2h 10m duration on demand

▪️ 34 lessons

▪️ 60 downloadable resources

▪️ Available on mobile devices

▪️ Access forever

▪️ Language:

  • Spanish

▪️ Unlimited consultations

✦ Bonus: Downloadable Guide Set

⚑ Certificate of completion

What you will learn

🟧 Create powerful visualizations with the Matplotlib and Seaborn libraries for data analysis.

🟧 Analyze time series and make forecasts.

🟧 Automate your everyday tasks with Python.

🟧 Master the general-purpose Python language from scratch, including its installation.

🟧 Understand and delve into the complete flow of a Data Science project to become a data scientist.

🟧 Learn all the statistical concepts necessary to be able to analyze the data around you.

🟧 You will gain extensive knowledge in Data Science that you can apply immediately at a very affordable price compared to other programs.

Course content
U1: Introduction to Data Science with Python
  • Introduction to Python for Data Analysis
  • Setting up Python and Jupyter
  • Loading libraries and data sources
  • Basic graphics with Matplotlib
  • Practical exercise: Basic graphics with Matplotlib
  • Flowchart in a Data Science project
U2: Data Visualization in Python - Matplotlib Library
  • Recommendations for data visualization
  • Matplotlib Basics
  • How to create line, bar and scatter charts
  • Advanced Chart Customization
  • How to Create Box and Whisker Plots
  • Generation of histograms and cumulative distribution functions
  • Creating Charts with Moving Averages
  • Using Subplots for Multiple Charts
  • How to apply styles to charts
  • Charts using groupby objects
  • Generation of two-dimensional histograms
  • Geographic maps with basemap
U3: Data Visualization in Python - Seaborn Library
  • Seaborn Library Basics
  • Linear regression with Seaborn
  • Creating stripplots with Seaborn
  • Creating swarmplots with Seaborn
  • Creating violinplots with Seaborn
  • Creating jointplots with Seaborn
  • Creating pairplots with Seaborn
  • Visualizing correlations with heatmaps
U4: Using Time Series in Python
  • Extraction and analysis of time series
  • Time series filtering
  • Resampling techniques in time series
  • Interpolation of data in time series
  • How to visualize time series
  • Generating forecasts using historical data
U5: Expanding the use of Python with other platforms
  • Task automation with Python scripts
  • Python in BI tools like Power BI

Course evaluation

  • This course contains a final exam
G-Tools: For Students
  • Exclusive access to cutting-edge student tools: improve your employability, participate in exclusive events, take advantage of our intelligent virtual assistant, and more.
⚑ Certificate of completion
  • Your personalized digital certificate, a unique badge of your achievements, with international validity, course duration and QR code for instant verification.
__
Downloadable resources:

📎 Downloadable Guide Set:

▸Datasets Data Science with Python - Visualization
▸Data Science Visualization Scripts
▸Data Science with Python - Visualization-protected
▸Password
▸Corr method on non-numeric columns
▸ ARIMA library change

Description

Do you want to learn how to create stunning visualizations to master Data Science?

At the end of this course, you will be able to create amazing statistical-based visualizations in a very simple way with Python and its Matplotlib and Seaborn libraries, which will take you to the next level in data analysis to obtain conclusions that have a high impact on your environment.

In addition, you will be able to analyze time series and create forecasts based on trends and seasonality, something very useful for any business challenge.

You will also learn how to automate your daily tasks, since Python is a language that allows you to exploit additional areas to Data Science.

You don't need to have any prior knowledge of Python or statistics, as there will be optional blocks focused on teaching you Python from scratch and the basics of statistics if you need them.

This course will have an eminently practical approach, each new functionality will be explained step by step and in detail, but the objective is for you to be able to apply the new knowledge by executing the multiple real practical cases proposed to test the acquired skills.

In turn, you will have at your disposal extensive reference material and all the Python scripts explained during this specialization in such a way that it will be very easy for you to reuse them for your specific use case.

It's time for you to take action, prepare for a future dominated by data by acquiring a very important skill to stand out from the rest and get the most out of information.

Sign up for the career with the greatest potential of the 21st century.

Companies from all industries invest in the development of their teams with this course from G-Talent and Ivan Pinar Dominguez

Customer Reviews

Based on 10 reviews
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M
Manuel A.
Un curso práctico y completo

Si eres un profesional de datos que busca actualizar sus habilidades, este curso es perfecto para ti. Aprenderás las últimas técnicas de análisis de datos con Python y Pandas

S
Simón R.
¡Un curso práctico que te enseña lo que necesitas saber!

Este curso no es solo teoría, sino que también te enseña cómo aplicar lo que has aprendido en el mundo real. Los proyectos prácticos son muy valiosos y te ayudan a consolidar lo aprendido. Recomiendo este curso a cualquier persona que quiera aprender a crear visualizaciones de datos de manera efectiva.

A
Arnaldo M.
¡Un curso esencial para cualquier científico de datos!

En mi opinión, este curso es esencial para cualquier científico de datos que quiera aprender a crear visualizaciones de datos efectivas. Las habilidades que se enseñan en este curso son fundamentales para comunicar los resultados de los análisis de datos de manera clara y concisa.

Y
Yonny G.
¡Un curso muy bien organizado y estructurado!

Me ha gustado mucho la forma en que el curso está organizado y estructurado. El contenido se presenta de manera clara y lógica, y los ejemplos prácticos son muy útiles para comprender los conceptos. El instructor también es muy accesible y está dispuesto a responder a cualquier pregunta.

M
Mónica G.
¡Excelente curso para principiantes en visualización de datos!

Este curso ha sido una excelente introducción a la visualización de datos con Python. El instructor explica los conceptos de manera clara y concisa, y los ejemplos prácticos son muy útiles para poner en práctica lo aprendido. Lo recomiendo a cualquier persona que quiera aprender a crear gráficos y visualizaciones de datos impactantes.

N
Nuria D.
Un curso completo y práctico sobre Matplotlib y Seaborn

El curso me ha proporcionado una base sólida en Matplotlib y Seaborn. He aprendido a crear una amplia variedad de gráficos y visualizaciones, y estoy seguro de que estas habilidades me serán muy útiles en mi carrera como científico de datos. El curso también incluye muchos proyectos prácticos que me ayudaron a consolidar lo aprendido.

J
Joselin M.
¡Muy recomendable para aprender a comunicar datos de manera efectiva!

Este curso me ha enseñado la importancia de la visualización de datos para comunicar información de manera efectiva. He aprendido a crear gráficos claros y concisos que ayudan a los espectadores a comprender rápidamente los datos. El curso también me ha dado la confianza para crear mis propias visualizaciones de datos personalizadas.

J
Jesús C.
Desafiante pero gratificante

Ya tenía algunos conocimientos básicos de visualización de datos, pero este curso me ha ayudado a llevar mis habilidades al siguiente nivel. He aprendido técnicas avanzadas para crear gráficos y visualizaciones más sofisticadas. El curso también me ha enseñado cómo usar Seaborn para crear gráficos estadísticos de alta calidad.

D
Daniel L.
¡Superó mis expectativas!

Este curso superó con creces mis expectativas. Aprendí mucho más de lo que esperaba, y estoy seguro de que estas habilidades me serán muy útiles en mi trabajo. El curso también ha sido muy divertido, lo que lo hace aún más recomendable.

R
Ramón H.
¡Un gran valor por el precio!

Para la cantidad de información y habilidades que se enseñan en este curso, el precio es realmente excelente. He aprendido mucho por un precio muy bajo. Recomiendo este curso a cualquier persona que quiera aprender a visualizar datos con Python.

Ivan Pinar Dominguez

Master in Project Management from ESDEN Business School

About Ivan Pinar Dominguez

Master in Project Management from ESDEN Business School

The Passion and Experience You Need to Master Machine Learning

Ivan Pinar is a leading telecommunications engineer originally from Spain with an insatiable passion for technology, project management, and teaching. His dynamic and engaging approach to instruction ensures that each student gains the maximum value in knowledge for every minute invested in his classes.

With vast experience in the telecommunications industry, Ivan stays at the forefront of the latest technologies and trends. His ability to break down complex concepts into clear and concise explanations makes him an ideal instructor for students of all levels, from beginners to advanced.

What makes Ivan different?

Top-Level Technical Expertise: Ivan has worked on numerous innovative projects, acquiring deep practical and theoretical knowledge in advanced technologies. His industry experience allows him to offer real-world examples and practical applications that enrich his students’ learning.

Master in Project Management: Beyond his technical expertise, Ivan is an expert in project management. He has successfully led complex and multifaceted projects, imparting to his students the best practices and essential principles to manage projects effectively in any environment.

Student-Centered Approach: Ivan firmly believes that everyone has the potential to learn and achieve their goals. His student-centered teaching method creates a positive and motivating environment, where students feel comfortable to ask questions, experiment, and explore new ideas.

Passion for Teaching: Ivan’s dedication to education is palpable in every class he teaches. His enthusiasm and commitment ensure that each student not only learns, but is also inspired to continue developing and reaching new horizons.

If you are looking for an instructor who combines passion, experience and a deep commitment to your success, Iván Pinar is the perfect choice. Join his classes and discover how you can transform your knowledge and skills into real tools for success in the world of technology and project management.

Sign up now and learn from one of the best!

Discover the added value: G-Tools and much more

In addition to high-quality content, this course gives you access to G-Tools, a suite of tools and resources designed to enhance your learning and your career.

Employability support resources, live events and take advantage of Aixa.IA's artificial intelligence to resolve your questions at any time.

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