Artificial Intelligence

Nuclio Learning

Expert in Artificial Intelligence and Data Science

Beginner

Dive into the world of AI and Data Science from scratch, covering everything from data-driven business strategies to hands-on technology platforms. This course offers a comprehensive introduction to AI without requiring prior knowledge, making it ideal for professionals looking to get started in the field.

Artificial Intelligence
Data Science
Programming
Data Analysis
Machine Learning

Overview

This course provides a solid foundation in the fundamentals of artificial intelligence and data science, starting from zero. You will learn about data-driven business strategies, data platforms and technologies, and dive into programming with Python. The course also covers data analysis with Pandas and creating impactful dashboards with PowerBI, enabling you to develop AI models for real-world data prediction.

Online
course location
Spanish
course language
Professional Certification
upon course completion
Self-paced
course format
Pre-recorded classes
delivered online

Who is this course for?

Professionals from various fields

Aimed at professionals from diverse backgrounds looking to understand the basics of AI in the business world.

Data Analysts

For emerging data analysts who want to take their first steps in Data Science using Python.

Business Intelligence Professionals

For BI professionals aiming to undertake their own projects after the course.

Why should you take this course?

Felipe Calderero

Lead Instructor

This course offers a unique opportunity to understand and apply AI and Data Science from the ground up. You'll gain practical skills in Python, Pandas, and PowerBI, essential for analyzing real-world data and making informed decisions. Ideal for professionals seeking to enhance their capabilities in the digital era.

Pre-Requisites

1 / 3

No prior knowledge of AI or Data Science is required.
Basic understanding of business processes is beneficial.
Interest in learning Python for data analysis.

What will you learn?

Introduction

Welcome and course overview, target audience, and course objectives.

Data-Driven Business Strategy

Evolution from marketing to product-focused strategies, customer-centric approaches, and data challenges.

Data Platforms and Technologies: Relational Databases

Overview of data technologies, SQL databases, and business intelligence.

Data Platforms and Technologies: Non-Relational Databases (NoSQL)

Types of data, NoSQL databases, and data architectures like Data Lakes.

Data Platforms and Technologies: The Cloud

Introduction to cloud computing, its benefits, and service models.

Programming Languages

Overview of programming languages and current trends.

Data Science

Roles in data science, the scientific method, and types of algorithms.

Machine Learning

Types of machine learning problems and algorithms.

Deep Learning

Basics of deep learning and neural network architectures.

Generative Artificial Intelligence

Introduction to Generative AI, applications, and tools like ChatGPT.

Data and AI Ethics

Ethical principles in AI and real-world ethical issues.

Conclusion

Course summary and review of objectives.

PYTHON: Basic Fundamentals

General overview of programming languages and introduction to Python.

PYTHON: Flow Control and Basic Data Structures

Variables, operators, and conditionals in Python.

PYTHON: Functions

Function definition and calling, parameters, and arguments.

PANDAS Library: Basic Fundamentals

Introduction to Pandas and its importance in data analysis.

PANDAS Library: Handling DataFrames and Series

Creating and manipulating basic Series and DataFrames.

Visualization with PowerBI

Introduction to creating dashboards with PowerBI.

Machine Learning with Python

Overview of machine learning types and problems.

EDA and First Contact with the Dataset

Exploratory Data Analysis and initial dataset handling.

sklearn and Best Practices for Data Handling

Introduction to sklearn, data splitting, and transformers.

Code Refactoring, Wrap Up, and Conclusions

Final code refactoring and course wrap-up.

Meet your instructors

Felipe Calderero
Instructor, Nuclio Learning
I am an experienced Hands-On CTO and Gen AI Expert, with expertise in AI and data analytics. I am passionate about delivering value through technology and sharing my knowledge as a professor.
Ignacio Anguita
Quantitative Analyst / Developer & Programme Director, SAS and EADA Business School
Ignacio Anguita brings a wealth of experience as a Quant Developer and Portfolio Manager. Currently employed at SAS, he has expertise in pricing and hedging various derivatives, managing large portfolios, and developing tools for traders and systematic strategies.
Núria Xifré Martín
Data Scientist, Caixabank Advanced Business Analytics
Aerospace Engineer focused on project management and software engineering as seen on my Github: https://github.com/NuriaXForgeFlow.
Nico Popescul
Instructor, Nuclio Learning
Caixabank Advance Business Analytics

Upcoming cohorts

Cost
€639
Duration
-
Dates
start now
Location
Online

Frequently Asked Questions

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How does Mydra vet top courses?

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Still have questions?

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€639