Statistical Programming and Data Visualization Course with R

Online Training

Statistical Programming and Data Visualization Course with R

Name: Statistical Programming and Data Visualization Course with R en India
Brand: EUROINNOVA INTERNATIONAL ONLINE EDUCATION
SKU: 385211-2501
Availability: InStock

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200 hours

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Spanish

The Statistical Programming and Data Visualization Course with R is your opportunity to immerse yourself in one of the most dynamic and in-demand fields in the current job market. With the increasing volume of data generated daily, the ability to analyze and visualize information has become an essential skill for professionals in various areas. This course is designed to provide you with the fundamental knowledge of data science, from managing relational databases to using R as a key tool for Big Data. You will learn how to use ggplot2, a powerful R library, to create impactful and clear visualizations, essential for making informed decisions. Additionally, we'll teach you how to customize axes, titles, legends, backgrounds and grid lines, and margins, ensuring your charts are both accurate and aesthetically pleasing. This online course offers you the flexibility to learn at your own pace while acquiring skills that will differentiate you in the competitive world of work. Don't miss this opportunity to grow professionally!

Instituciones educativas

Rs. 28,100

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Details to take into account

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Multilingual support

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Digital certificate included

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Assistant Phia

Objectives

- Learn to manipulate and analyze data with R. - Understand the structure and use of relational databases. - Use R to manage and analyze large volumes of data. - Create effective data visualizations with ggplot2 in R. - Configure axes to improve graph interpretation in R. - Add and customize titles on graphs using ggplot2. - Incorporate appropriate legends to clarify information in graphics. - Adjust backgrounds and grid lines to optimize data presentation. - Manage margins to improve the aesthetics and clarity of the visualizations.

Content

Career opportunities

- Data analyst in technology companies - Data scientist in research institutions - Software developer specialized in R - Consultant in data analysis and visualization - Big Data specialist for startups and corporations - Professional in business intelligence and advanced visualization - Data analyst in the financial and banking sector

What it prepares you for

The Statistical Programming and Data Visualization Course with R prepares you to handle large volumes of data using R, optimizing the management of relational databases and applying advanced Big Data techniques. You will learn how to use ggplot2 to create impressive visualizations, perfecting aspects such as axes, titles, legends, backgrounds and margins. Upon completion, you will be able to analyze and present data effectively. This course is complementary and does not qualify for professional practice.

The Statistical Programming and Data Visualization Course with R is designed for professionals and graduates in the sector who wish to delve deeper into data science, relational databases and the use of R as a tool for Big Data. Through ggplot2, you will learn to create complex visualizations, with axes, titles, legends and margins. This course does not qualify for professional practice.

Our training is 100% online, which allows students to self-regulate their study and adapt it to their own needs. We are committed to personalized and autonomous teaching, with an approach based on critical thinking and constructivism.

We have a highly specialized teaching team that will accompany you throughout the entire teaching-learning process. This will allow you to personalize your training even more, since we adapt to your pace and needs.

You will have access to our learning platform, MyLXP, from any device and at any time of the day, allowing you to decide how and when to study. All of this is possible thanks to our Educa LXP (Learning Experience Platform) methodology, an environment designed to boost your educational progress, encourage innovation and offer a personalized learning experience adapted to each need.