Corso erogato in lingua Italiana
Moduli: 1
Livello: Principiante
Accesso: Gratuito

Segui questa introduzione all'utilizzo del codice, scopri come funziona, cosa permette di realizzare e in che modo può esserti utile.

Percorso Introduzione alla programmazione è composto di 4 lezioni per una durata di circa 30 min

1. Che cos'è il codice e come funziona?
2. Introduzione ai linguaggi di programmazione
3. Importanza del codice nella vita quotidiana
4. Lavorare con il codice: sviluppatori e settori di utilizzo quotidiani

Il codice è dietro ogni cosa: dai laptop ai distributori automatici, fino alle auto. Ma come funziona? In questi video scoprirai che cos'è il codice, perché esistono tanti linguaggi di programmazione e come vengono utilizzati per svolgere attività specifiche. In particolare, capirai perché può esserti utile acquisire nozioni fondamentali di programmazione.

Course delivered in English
Lessons: 13
Livello: Foundational
Access: Free Online Course (Audit)

The Introduction to Data Studio online course teaches marketers, business owners, agencies, and data analysts how to visualize data online to gain insights. You’ll learn how to connect your data, create impactful reports, and collaborate with teammates. You’ll gain the knowledge and tools you need to design compelling reports to share with different stakeholders.

Course Structure

Unit 1: Welcome to Data Studio

• Lesson 1: Data Studio overview
• Lesson 2: How Data Studio works
• Lesson 3: Access controls

Unit 2: Navigate Data Studio

• Lesson 1: Data Studio Home page
• Lesson 2: Data source overview
• Lesson 3: Report overview
• Lesson 4: Report edit mode overview

Unit 3: Build your first report

• Lesson 1: Connect Data
• Lesson 2: Create a new report and add charts
• Lesson 3: Add and configure report controls
• Lesson 4: Share reports with others

Unit 4: Format and Design Reports

• Lesson 1: Data visualization basics
• Lesson 2: Create and use report templates

Corso erogato in lingua Italiana
Lezioni 3
Livello: Principiante
Accesso: Gratuito

Capitolo 4 - Machine learning

Si è compreso ormai da tempo che l’apprendimento è un elemento chiave dell’intelligenza. Ciò vale sia per l’intelligenza naturale, in quanto apprendendo diventiamo più intelligenti, sia per l’intelligenza artificiale.

Nel capitolo 4, tratteremo le seguenti sezioni:

1. Le tipologie di machine learning
2. Il classificatore Nearest Neighbor (2 esercizi)
3. Regressione (4 esercizi)

Course delivered in English
Exam: 90 minutes
Level: Intermediate
Access: Free Online Course (Audit) Paid Certificate Available

AWS Certified Cloud Practitioner convalida la tua esperienza con credenziali riconosciute in tutto il settore e migliora la tua professione

Cosa apprenderai

Diventare AWS Certified Cloud Practitioner è un passaggio facoltativo e raccomandato per ottenere una certificazione di livello Associate o Specialty.

• Capacità confermate dalla certificazione
• Definire cos'è il cloud AWS e l'infrastruttura globale di base
• Descrivere i principi fondamentali dell'architettura del cloud AWS
• Descrivere la proposta di valore del cloud AWS
• Descrivere i servizi principali della piattaforma AWS e i loro casi di utilizzo comune (ad esempio, elaborazione e analisi)
• Descrivere gli aspetti principali della sicurezza e conformità della piattaforma AWS e il modello di sicurezza condiviso
• Definire la fatturazione, la gestione di account e i modelli di prezzo
• Identificare le fonti di documentazione o assistenza tecnica (ad esempio, whitepaper o ticket di supporto)
• Descrivere le caratteristiche di base/fondamentali della distribuzione e del funzionamento in AWS Cloud

Conoscenza ed esperienza consigliate

È preferibile che i candidati abbiano almeno sei mesi di esperienza con AWS Cloud in qualsiasi ruolo, che sia tecnico, manageriale, nelle vendite, negli acquisti o nella finanza

I candidati devono avere una conoscenza di base dei servizi IT e del loro utilizzo nella piattaforma cloud AWS

Preparazione per gli esami

Non esiste preparazione migliore dell'esperienza pratica. Esistono molti corsi di Training AWS pertinenti e altre risorse per assisterti nell'acquisizione di ulteriori conoscenze e competenze per prepararti alla certificazione. Consulta la guida all'esame per informazioni sulle competenze valutate nell'esame di certificazione.

Course delivered in English
Lessons: 2
Level: Intermediate
Access: Free Online Course (Audit)

This course will take approx 25 minutes to be completed; it will orient you to key serverless concepts to help you start developing serverless applications.

You will learn how development best practices you already use in server-based development apply to serverless development, and how to adjust your development processes for serverless application development.

Course delivered in English
Lessons: 7
Livello: Foundational
Access: Free Online Course (Audit)

Learn the most important language for data science.

This course has 7 learning module, and can be teckled in approx 7 hours.

Course Structure:

• Lessons 1 - Hello, Python

A quick introduction to Python syntax, variable assignment, and numbers

• Lessons 2 - Functions and Getting Help

Calling functions and defining our own, and using Python's builtin documentation

• Lessons 3 - Booleans and Conditionals

Using booleans for branching logic

• Lessons 4 - Lists

Lists and the things you can do with them. Includes indexing, slicing and mutating

• Lessons 5 - Loops and List Comprehensions

For and while loops, and a much-loved Python feature: list comprehensions

• Lessons 6 - Strings and Dictionaries

Working with strings and dictionaries, two fundamental Python data types

• Lesson 7 - Working with External Libraries

Imports, operator overloading, and survival tips for venturing into the world of external libraries

Instructor
Colin Morris - Data Scientist
Colin is a data scientist and educator with a background in computational linguistics. In his spare time, he enjoys building data visualizations of pop music.

Course delivered in English
Lessons: 9
Livello: Foundational
Access: Free Online Course (Audit)

Learn the core ideas in machine learning, and build your first models.

This course has 7 learning module, plus 2 Bonus materials and can be teckled in approx 3 hours.

Lesson 1 - How Models Work

• The first step if you're new to machine learning

Lesson 2 - Basic Data Exploration

• Load and understand your data

Lesson 3 - Your First Machine Learning Model

• Building your first model. Hurray!

Lesson 4 - Model Validation

• Measure the performance of your model ? so you can test and compare alternatives

Lesson 5 - Underfitting and Overfitting

• Fine-tune your model for better performance.

Lesson 6 - Random Forests

• Using a more sophisticated machine learning algorithm.

Lesson 7 - Machine Learning Competitions

• Enter the world of machine learning competitions to keep improving and see your progress

Bonus Lessons

• Intro to AutoML

Learn how to use automated machine learning (AutoML) to accelerate your work.

• Getting Started With Titanic

Create your own Kaggle Notebooks to organize your work in competitions.

Instructor - Dan Becker - Data Scientist
Dan has done data science consulting for 6 companies in the Fortune 100 and contributed to the Keras library for deep learning. He has a PhD in Econometrics.

Course delivered in English
Lessons: 3
Livello: Foundational
Access: Free Online Course (Audit)

Agile is a set of values, principles, and practices that helps change the culture and behaviors of the way people work. Learn the foundational concepts of Agile and earn the Agile Explorer badge when you complete three courses:

• A Taste of Agile - Duration: 2 hours, 50 minutes

A Taste of Agile is designed to provide a basic awareness of Agile work methods, and how you can use them to change the way you work in academics, on the job, or even in your personal life. The course provides a foundational understanding of the values, principles, practices, and patterns of Agile, and the team dynamics that create success.

• Agile Operations Fundamentals - Duration: 2 hours, 5 minutes

Agile Operations Fundamentals is designed to help operational teams develop the foundational skills to plan, structure, deliver, monitor, and improve on operational activities and processes. These skills can be used in school, on the job, and in your personal life. This course builds on the foundational awareness from A Taste of Agile, through an operations pattern that provides guidance on recommended practices, tools, and techniques that align to the core Agile values and principles.

• Agile Program Fundamentals - Duration: 2 hours, 10 minutes

Agile Program Fundamentals is designed to help project teams develop the foundational skills to plan, structure, and deliver on programs and projects incrementally and iteratively. This course builds on the foundational awareness from A Taste of Agile and Agile Operations Fundamentals. You will learn the project pattern and receive guidance on recommended practices, tools, and techniques that align to the core Agile values and principles.

Course delivered in English
Lessons: 8
Livello: Foundational
Access: Free Online Course (Audit)

Make great data visualizations. A great way to see the power of coding!

Lesson 1 - Hello, Seaborn

• Your first introduction to coding for data visualization

Lesson 2 - Line Charts

• Visualize trends over time

Lesson 3 - Bar Charts and Heatmaps

• Use color or length to compare categories in a dataset

Lesson 4 - Scatter Plots

• Leverage the coordinate plane to explore relationships between variables

Lesson 5 - Distributions

• Create histograms and density plots

Lesson 6 - Choosing Plot Types and Custom Styles

• Customize your charts and make them look snazzy

Lesson 7 - Final Project

• Practice for real-world application

Lesson 8 - Creating Your Own Notebooks

• How to put your new skills to use for your next personal or work project

Course delivered in English
Lessons: 6
Livello: Foundational
Access: Free Online Course (Audit)

Learn SQL for working with databases, using Google BigQuery.

This course is compsed by 6 Lessons Tutorial, 6 excercises and can be tackled in approx 3 hours.

Prerequisite Skills

We reccommend to take prior to this course: Python

Course Structure

• 1 Getting Started With SQL and BigQuery

Learn the workflow for handling big datasets with BigQuery and SQL

• 2 Select, From & Where

The foundational compontents for all SQL queries

• 3 Group By, Having & Count

Get more interesting insights directly from your SQL queries

• 4 Order By

Order your results to focus on the most important data for your use case.

• 5 As & With

Organize your query for better readability. This becomes especially important for complex queries.

• 6 Joining Data

Combine data sources. Critical for almost all real-world data problems

Corso erogato in lingua Italiana
Lezioni 2
Livello: Principiante
Accesso: Gratuito

Fondamenti di Deep Learning applicato alla visione artificiale.

CONTENUTI

• Deep Learning applicato alla visione artificiale
• TEST DEEP LEARNING - base

Course delivered in English
Lessons: 10
Level: Advanced
Access: Paid Online Course (price may vary)

Advanced games AI with genetic algorithms, neural networks & Q-learning in C# and Tensorflow for Unity

What you'll learn

• Build a genetic algorithm from scratch in C#.
• Build a neural network from scratch in C#.
• Setup and explore the Unity ML-Agents plugin.
• Setup and use Tensorflow to train game characters.
• Apply newfound knowledge of machine learning to integrate contemporary research ideas in the field into their own projects.
• Distill the mathematics and statistic behind machine learning to working program code.
• Use a Proximal Policy Optimisation to train a neural network.

Course content

• 10 sections • 77 lectures • 13h 4m total length
• 12.5 hours on-demand video
• 23 articles
• 44 downloadable resources
• Full lifetime access
• Access on mobile and TV
• Certificate of completion

Requirements

• You should be familiar with the Unity Game Engine.
• You should have a working knowledge of C#.
• You should have a healthy appreciation for mathematics and statistics.

Course delivered in English
Lessons: 3
Level: Beginners
Access: Paid Online Course (price may vary)

With Master the Basics of HTML5 & CSS3: Beginner Web Development, you can Start your journey towards becoming a bona fide web developer by learning these foundational concepts of coding

Course Content
3 modules • 38 lessons. This course could be completed in approx 3 h 4 min

Course Path

HTML & HTML5 for a total of 17 lessons, 1 h 43 min

1. Introduction to HTML & HTML5 - 06:20
2. Creating a Basic Page - 12:57
3. How To Use HTML Editors - 07:46
4. Saving Files - 05:44
5. Nesting - 06:47
6. HTML Colours - 06:55
7. Site Navigation Links- 05:46
8. Link Targets - 06:09
9. Working with Images in HTML - 03:49
10. Comments Tag - 04:39
11. Meta Tags - 05:28
12. HTML5 Audio Tag- 07:56
13. HTML5 Video Tag - 07:36
14. Constructing Ordered Lists - 03:25
15. Constructing Unordered Lists - 03:44
16. Horizontal Rule Tag - 03:55
17. Validation - 03:54

CSS & CSS3 for a total of 19 lessons, 1 h 21 min

1. Introduction to CSS & CSS3 - 02:57
2. The CSS Syntax - 04:12
3. Inline CSS- 04:50
4. Internal CSS - 03:07
5. External CSS - 05:15
6. Link Styles - 05:23
7. Comment Tag - 02:42
8. The ID Selector - 02:53
9. The Class Selector - 04:19
10. Validation - 04:05
11. Changing Font Size - 04:16
12. Changing Font Colour - 07:36
13. Changing Text Alignment - 03:16
14. Changing The Font Family - 05:37
15. Changing Font Style - 03:50
16. Adding Text Shadow & 3-D Text - 04:20
17. Creating a Content Box - 04:00
18. Adding Rounded Corners to a Content Box - 04:20
19. Adding Shadows to a Content Box - 03:48

CONCLUSION for a total of 2 lessons, 1 min

• Congratulations! - 01:01
• Bonus Lecture - 00:07