Data Analysis UpSkill

Porto, Porto District, Portugal - Remote

Mindera

Mindera is a global software engineering company that delivers robust, scalable, & secure web & mobile applications. We craft software with people we love.

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In this practical, hands-on course, we’ll teach you the basics of Python for data analysis, including popular libraries like Pandas, Plotly, Seaborn, and Scikit-learn. You'll gain foundational knowledge in data manipulation, visualization, and data modeling techniques — everything you need to tackle real-world data projects.

By the end, you’ll be able to complete a full data analysis, from gathering data to building predictive models.

Join us and take the first step toward mastering data analysis with Python today!

If you want more information, download our flyer.

Course Outline:

Module 1 - Introduction to Data Analysis

Module 2 - Introduction to SQL Database

Module 3 - Data Manipulation with Pandas

Module 4 - Introduction to Statistics and Exploratory Data Analysis

Module 5 - Introduction to Data Modeling with Scikit-learn

Module 6 - Data Visualization: Part I

Module 7 - Data Visualization: Part II

Module 8 - Final (hands-on) Project

How much will I pay to be a part of this program?

Price: 750€ + VAT

THIS COURSE IS ELIGIBLE TO USE "CHEQUE-FORMAÇÃO+DIGITAL" here

When will classes be?

Dates: 13-01-2025 - 12-02-2025

Monday | Tuesday |Thursday

Schedule: 7 - 10pm

Requirements

We've already told you we're looking for highly driven people with lots of will to learn! Aside from that, you should also be passionate about technology, fairly comfortable with both written and spoken English and have basic Python knowledge.

Benefits

You will have the opportunity to take a course within a tech company, learn from people with experience in the area and experience Mindera's unique culture.

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Category: Analyst Jobs

Tags: Data analysis Data visualization EDA Pandas Plotly Python Scikit-learn Seaborn SQL Statistics

Regions: Remote/Anywhere Europe
Country: Portugal

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