Maestría in Data Science. RVOE SEP: M-017/2023 (05/16/2023) + European Master in Data Science. Specialization in Data Visualization

Online Training

Maestría in Data Science. RVOE SEP: M-017/2023 (05/16/2023) + European Master in Data Science. Specialization in Data Visualization

Name: Maestría in Data Science. RVOE SEP: M-017/2023 (05/16/2023) + European Master in Data Science. Specialization in Data Visualization en Chile
Brand: EUROINNOVA INTERNATIONAL ONLINE EDUCATION
SKU: 377579-2508
Availability: InStock

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15 months

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137 CR

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Spanish

Data Science or Data Science is the art of managing and analyzing large volumes of information using tools, programming languages and specialized techniques to extract, classify and visualize information that allow making strategic and commercial decisions based on data. With this Maestría in Data Science. Specialization in Data Visualization you will learn the main algorithms and classification techniques used in Data Science. You will use SQL or NoSQL databases, take advantage of the full potential of Big Data or Machine Learning and program in the R language to analyze statistical data. In addition, you can create data visualizations and professional graphs with tools such as Tableau, PowerBI, Google Data Studio or the ggplot2 library in R.

Instituciones educativas

$5.384.800

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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

- Understand the importance of extracting, classifying and visualizing information in making strategic decisions. - Know what types of algorithms, statistical methods and classification techniques are used in data science. - Use both relational (SQL) and non-relational (NoSQL) databases for information management. - Understand the relationship between data science and disruptive technologies such as Big Data and Machine Learning. - Program in the R language, knowing its different structures, functions, techniques and graphing methods. - Create professional data visualizations with tools such as Tableau, Power BI, Qlikview or Google Data Studio. - Get the most out of the ggplot2 library used for data visualization in R.

Content

Career opportunities

Data is the central axis of any company. Companies demand professionals who know how to analyze information for correct strategic decision making. With this Maestría in Data Science. Specialization in Data Visualization will apply for positions such as Data Scientist or Data Analyst, Chief Data Officer (CDO), Visual Analyst or PowerBI Architect.

What it prepares you for

With the Maestría in Data Science. Specialization in Data Visualization you will learn the main algorithms and classification techniques used in Data Science. You will use SQL or NoSQL databases, you will take advantage of the full potential of Big Data or Machine Learning, you will program in R to analyze statistical data, you will create data visualizations with tools such as Tableau, PowerBI, Google Data Studio or the ggplot2 library in R.

This Maestría in Data Science. Specialization in Data Visualization is aimed at both technical profiles in computing and statistical profiles, business or marketing professionals who want to learn what technologies, tools and languages are used for data management and analysis and how they can get the most out of it within any company.

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.