University Microcredential in Data Analysis with Python + 3 Credits University Microcredential in Data Analysis with Python + 3 Credits

Online Training

University Microcredential in Data Analysis with Python + 3 Credits

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135 hours

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3CR

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Spanish

Educational institutions

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₡ 50.700

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University Microcredential in Data Analysis with Python + 3 Credits

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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 installation and configuration of a development environment in Python. - Identify and use data types, variables and operators in Python. - Implement loops and conditionals to control the flow of the program. - Apply libraries such as NumPy, Pandas and Matplotlib in data analysis. - Perform efficient filtering and extraction of data for specific analyses. - Design and manage dynamic tables to summarize large data sets. - Run linear and logistic regressions to interpret relationships between variables.

Content

Career opportunities

- Data analyst in technology companies - Specialist in data visualization - Business intelligence technician - Data consultant - Developer of Python solutions for data analysis - Data scientist focused on regressions - Database manager - Professional in automation of analytical processes - Expert in optimization of predictive models

What it prepares you for

This course prepares you to use Python as a powerful tool in data analysis. You will learn from the installation and configuration of the development environment to the advanced use of libraries such as NumPy, Pandas and Matplotlib. You will be able to manage data types, variables, loops and conditionals, perform filtering, merging and apply regression techniques. Upon completion, you will be able to extract, analyze and visualize data efficiently, thus optimizing decision making in your professional field.

Addressed to

This course is designed for industry professionals and graduates looking to expand their skills in data analysis using Python. It is ideal for those interested in learning from environment installation, data types and flow control, to the use of libraries such as NumPy and Pandas, and advanced techniques such as linear and logistic regression.

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.

Certificación

Microcredential Degree in Data Analysis with Python with 135 hours and 3 Credits issued by UNIMIAMI
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Diploma certificado

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