Course in Preprocessing and Data Analysis + 8 ECTS Credits Course in Preprocessing and Data Analysis + 8 ECTS Credits

Online Training

Course in Preprocessing and Data Analysis + 8 ECTS Credits

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200 hours

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8 ECTS

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Spanish

One of the decisive aspects when carrying out any data science project is the data. On many occasions, this data does not receive the attention it really needs and we find data that is incomplete, duplicated and, ultimately, of poor quality. It is very important to have quality data since these are the basis of the process and without them no data science project can move forward. This course in data preprocessing and analysis prepares you in all stages where data is involved. From the collection of these from databases (relational and non-relational) through the bases of processing to improve their quality, the analysis using Python and R and ending with the reporting of the final results.

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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

-Know what data science is. -Introduce the Python and R programming languages. -Know relational and non-relational databases. -Data collection, preprocessing and analysis. -Presentation of results.

Content

Career opportunities

By completing this Course in Data Preprocessing and Analysis you will develop your professional career in the field of data science in general. Specifically, this course will prepare you to perform two of the fundamental functions in any project: data analyst and data preprocessing expert.

What it prepares you for

This online course in data preprocessing and analysis prepares you to navigate all stages of a data science project where data is involved. With it, you will learn the basics of programming in Python and R, how to manage the data that is stored in relational and NoSQL databases, what packages help us with data analysis and finally how to present the results obtained.

Addressed to

The course in data preprocessing and analysis is aimed at anyone interested in entering the world of data science and analytics. This course is also very useful for professionals who wish to introduce themselves to data preprocessing and analysis, continue training or update their knowledge in this area.

Methodology

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.

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