Data Analysis and Charts with Python: Pandas and Matplotlib – Free (100% Off Coupon) | How to Enrol

Análisis de Datos y Gráficos con Python: Pandas y Matplotlib is a practical, beginner-friendly online course on Udemy that teaches you how to analyse and visualise data using two of Python’s most powerful libraries: Pandas and Matplotlib. Data analysis is one of the fastest-growing skill sets in the global job market, and this course gives you a clear, structured path to mastering it from the ground up, even if you have never written a line of Python code before. The course is taught in Spanish by Álvaro Chirou, an experienced technology instructor with over 20 years in the field and more than 500,000 students on Udemy.

This course is ideal for anyone who wants to enter the world of data analysis but does not know where to start. It is also well-suited for professionals in business, finance, engineering, science, or any field that involves working with data, who want to move beyond spreadsheets and start using Python to analyse and present information more effectively. Spanish speakers worldwide will find the instruction particularly accessible, as the course is delivered entirely in Spanish.

In this post, you will find everything you need to know about this course: what it covers, who should take it, how to get it completely free using two active coupon codes, a step-by-step enrolment guide, and answers to the most common questions learners ask. Read through to the end so you can claim free access before the coupons expire.

Course Description

ABOUT THE PROVIDER

This course is created and delivered by Álvaro Chirou, a technology educator and cybersecurity professional with over 20 years of hands-on experience working in the technology industry. He has delivered presentations at major international events including OWASP (Open Web Application Security Project), which is a globally respected community focused on software security. His presence at such events signals that he is an active, recognised figure in the tech industry, not just a classroom instructor.

On Udemy alone, Álvaro Chirou has taught more than 500,000 students and has created over 100 professional training courses. This level of output and reach makes him one of the more prolific and trusted Spanish-language instructors on the platform. His courses span topics in cybersecurity, programming, networking, and data tools.

Udemy is one of the world’s largest online learning marketplaces, with over 60 million learners globally. It hosts independent instructors and industry professionals who offer flexible, self-paced courses across hundreds of subjects. Udemy is widely used by both individual learners and corporate training programmes worldwide.

COURSE OVERVIEW

This course takes a ground-up approach to Python-based data analysis. It begins by teaching Python from scratch for learners who need the foundation, then progressively builds up to working with two of the most widely used libraries in the data science and analytics space: Pandas and Matplotlib.

Pandas is a Python library that allows you to load, clean, reshape, filter, and analyse datasets in a flexible and intuitive way. Matplotlib is a visualisation library that enables you to create charts, graphs, and plots to represent your data in a visually meaningful format. Together, these two tools form the core of most entry-level and intermediate data analysis workflows.

The course is rated as suitable for all levels, making it accessible to absolute beginners. The teaching style is video-based and self-paced, meaning you learn at your own speed without any fixed class schedule. 

What makes this course stand out is the combination of a complete Python introduction with real-world data analysis and visualisation tools, all delivered in Spanish by an instructor with two decades of professional technology experience. For Spanish-speaking learners, this removes one of the most common barriers to learning technical data skills: language.

WHO SHOULD TAKE THIS COURSE

This course is most valuable for the following learners:

• Complete beginners who have no prior experience with Python and want to learn data analysis from zero
• Spanish-speaking professionals in any industry who work with data and want to move from manual tools like Excel into Python-based analysis
• Students in fields such as business, economics, science, engineering, or social research who need to analyse and present data as part of their studies
• Aspiring data analysts or data scientists who want to build a foundational skill set before moving on to more advanced topics
• Freelancers and independent consultants who want to offer data analysis services to clients using industry-standard tools
• Anyone curious about Python who wants a practical, applied entry point rather than a purely theoretical programming course

ELIGIBILITY AND PREREQUISITES

This course has no formal prerequisites. Anyone with an interest in the subject can enrol.

The instructor explicitly states that the course begins with Python from scratch, so you do not need any prior programming knowledge. You do not need a background in mathematics, statistics, or data science to follow along.

What you will need:

• A computer capable of running Python (Windows, macOS, or Linux)
• A stable internet connection for streaming video lessons
• A free Udemy account to enrol
• Python installed on your computer (the course will likely guide you through this, but installing Python from python.org in advance is recommended)

Language: The course is taught entirely in Spanish. You will need a good working understanding of Spanish to follow the instruction and benefit fully from the course content.

Geographic Restrictions: Udemy is accessible in most countries worldwide.

COURSE CURRICULUM

The full module or lecture breakdown has not been published in the available information. 

Based on the course description, the content is structured across three main areas:

• Part 1: Python from Scratch – An introduction to Python programming covering the fundamentals you need to follow the rest of the course. Aimed at learners with no prior coding experience.
• Part 2: Data Analysis with Pandas – A deep dive into the Pandas library, teaching you how to load datasets, clean and filter data, reshape tables, and prepare data for analysis and visualisation.
• Part 3: Data Visualisation with Matplotlib – An introduction to the Matplotlib library, covering how to create a wide variety of charts and graphs to represent and communicate your data effectively.

COST AND FINANCIAL AID

Standard Course Price: This is a paid Udemy course. 

Free Access via Coupon Codes: Two active 100% discount coupons are currently available, making the course completely free. Act quickly, as both have limited uses and one expires very soon.

Coupon 1: A4687CDC5B2AEF95D46C Discount: 100% off (fully free) Expiry: Tomorrow (exact date to be confirmed at time of reading) Uses Remaining: 100

Coupon 2: A25EC7255E21FD3CEBD1 Discount: 100% off (fully free) Expiry: May 7, 2026 Uses Remaining: 100

To redeem either coupon, apply it at checkout on Udemy. If Coupon 1 has already expired, use Coupon 2. If both have expired, check educational deal-sharing websites for updated codes from this instructor.

Certificate: The Udemy Certificate of Completion is included at no extra cost when you finish the course, regardless of whether you paid or enrolled using a coupon. The certificate can be downloaded, shared on LinkedIn, and added to your CV.

Financial Aid: Udemy does not operate a formal financial aid programme like Coursera. However, the platform runs frequent site-wide sales with discounts of up to 85%, and instructors like Álvaro Chirou regularly release coupon codes for their courses. If these coupons have expired, check back on sites that aggregate Udemy coupons or follow the instructor’s Udemy profile for new promotions.

Refund Policy: Udemy offers a 30-day money-back guarantee on paid enrolments. If you pay for the course and are not satisfied for any reason, you can request a full refund within 30 days of purchase.

WHAT YOU WILL GAIN

Skills You Will Learn:

• Python programming fundamentals, including variables, data types, loops, and functions
• How to import, clean, filter, and reshape datasets using the Pandas library
• How to perform exploratory data analysis on real datasets
• How to create and customise a wide range of charts and graphs using Matplotlib
• How to present data insights visually in a professional and meaningful way

Tools and Software You Will Be Able to Use:

• Python (a free, open-source programming language used globally in data science, web development, and automation)
• Pandas (a data analysis library used extensively by data analysts and data scientists worldwide)
• Matplotlib (a data visualisation library used in research, business reporting, and academic publishing)

Career Paths This Course Supports:

• Data Analyst
• Business Intelligence Analyst
• Research Assistant or Analyst
• Junior Data Scientist
• Financial Analyst with data skills
• Any role that requires reporting, data interpretation, or building dashboards

Certificate Details: Upon completing all course content, Udemy will issue a Certificate of Completion bearing the course name and the platform’s branding. This certificate can be downloaded as a PDF, added to your LinkedIn profile with one click, and included in job applications. While it is not an accredited academic qualification, it is a widely recognised signal of practical self-directed learning.

Practical Outputs: By the end of the course, you will be able to take a raw dataset, analyse it using Pandas, and produce visual charts using Matplotlib. This is a portfolio-ready skill that you can demonstrate to employers or clients.

HOW TO ENROL

Follow these steps to enrol for free using one of the active coupon codes:

Step 1: Go to the Udemy Website Visit udemy.com and search for “Análisis de Datos y Gráficos con Python Pandas Matplotlib Álvaro Chirou” or navigate directly to the course page. 

Step 2: Create a Free Udemy Account If you do not already have a Udemy account, click “Sign Up” and register using your email address. Creating an account is completely free and takes under two minutes.

Step 3: Apply Your Coupon Code On the course page, look for the “Have a coupon?” field near the pricing or checkout section. Enter one of the coupon codes below and click Apply:

• Try first: A4687CDC5B2AEF95D46C (expires tomorrow, use immediately)
• If expired: A25EC7255E21FD3CEBD1 (expires May 7, 2026)

Step 4: Confirm the Price is Zero Before completing your enrolment, verify that the total shown is £0, $0, or the free equivalent in your local currency. Do not proceed if the coupon has not been applied successfully.

Step 5: Complete Enrolment Click “Enrol Now” or “Buy Now” to finalise your free access. A confirmation email from Udemy will arrive shortly after.

Step 6: Access Your Course Log in to Udemy and go to “My Learning” to find the course. You can learn directly in your browser or download the Udemy app on iOS or Android for mobile access, including offline viewing of downloaded lectures.

Step 7: Set Up Your Python Environment Before or alongside the first lessons, install Python on your computer from python.org. You will also need to install Pandas and Matplotlib. The instructor may guide you through this within the course, but getting your environment ready early will help you start practising without delay.

Step 8: Complete the Course and Download Your Certificate Once you have finished all course content, Udemy will generate your Certificate of Completion automatically. Download it, upload it to your LinkedIn profile, and add it to your CV.

KEY DATES AND TIMELINE

This is a self-paced course. You can enrol and begin at any time. However, the free coupon codes have fixed expiry dates and limited usage, so do not delay.

ENROLMENT DEADLINE

There are two active coupon codes for this course, each offering 100% off. One expires tomorrow and the other expires on May 7, 2026. Both have 100 uses remaining at the time of publication, but uses are counted on a first-come, first-served basis.

Use coupon A4687CDC5B2AEF95D46C today before it expires tomorrow. If that one is no longer active, apply coupon A25EC7255E21FD3CEBD1 before May 7, 2026.

Enrolment after both coupons expire will require payment at the standard course price. This course is currently open for enrolment, but free access is strictly time-limited. Do not wait.

IMPORTANT TIPS

1. Use the first coupon right now. Coupon A4687CDC5B2AEF95D46C expires tomorrow. Even if you plan to start the course next week, enrol today to lock in your free access. Once you enrol, the course is yours for life regardless of when the coupon expires.
2. If the first coupon fails, try the second one immediately. Coupon A25EC7255E21FD3CEBD1 is valid until May 7, 2026 with 100 uses available. Go straight to this one if the first is already inactive.
3. Install Python before starting the course. Download Python from python.org and install it on your computer before you begin. This means you can start following along and practising from the very first lesson rather than pausing mid-course to set up your tools.
4. Set a weekly schedule for yourself. Self-paced courses are easy to put aside. Decide in advance how many hours per week you will dedicate and add it to your calendar. Even one hour per day will take you through the content steadily.
5. Practice with real datasets as you go. Do not just watch the lessons passively. Find a dataset relevant to your own field or interests and try to apply each new technique as you learn it. Kaggle.com offers thousands of free datasets you can use for practice.
6. Take notes on each Pandas and Matplotlib function. These libraries have many functions and it is easy to forget syntax. Keep a simple notebook or digital document where you write down each function, what it does, and an example from the course. This becomes your personal reference guide.
7. Add the certificate to your LinkedIn profile immediately after completing the course. Go to your LinkedIn profile, navigate to the Licenses and Certifications section, and add the certificate with the Udemy course name and Álvaro Chirou as the issuing organisation. Recruiters and hiring managers do look at this section.
8. Share the coupon codes with Spanish-speaking colleagues or classmates. Both coupons still have uses available. If you know others who would benefit from learning Python and data analysis, share the codes with them before they expire. It costs you nothing and helps someone else get access to valuable skills for free.

FREQUENTLY ASKED QUESTIONS

OFFICIAL LINK

Enrol in the course on Udemy and apply one of the coupon codes at checkout for free access:

https://www.udemy.com

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