Big Data Analyst - Tirocinio Formativo Universitario

Questo cluster racchiude i percorsi formativi Atlas di Digital Tooling Engineering per specializzarsi al ruolo di Big Data Analyst o Specialist.

Il percorso si compone di 250 ore tra materiale didattico e pratica in azienda

All’interno di contesti maggiormente legati all’analisi dei dati, il data Analyst è chiamato anche a implementare modelli statistici complessi o elaborare algoritmi di machine learning, al fine di analizzare enormi quantità di dati (da intendersi, queste, in termini di varietà di fonti, volumi e velocità di raccolta): in tal caso, residuale all’interno del mercato del lavoro attuale, si parla di Big data Analyst.".

Al fine di svolgere l'attività lavorativa, il Big Data Analyst dovrà possedere conoscenze statistiche e di gestione dei database, sia relazionali che no. Oltre alle competenze tecniche richieste ai data scientist, l'Analyst deve, infatti, essere in grado di utilizzare agevolmente la maggior parte dei sistemi di elaborazione dati, programmare in più linguaggi e conoscere i sistemi di machine learning ed elaborazione statistica. Serve infine restare costantemente aggiornato sulle nuove tendenze nel campo tecnologico per progredire e consolidarsi in questo settore.

I corsi inclusi in questo cluster sono volti a tale finalità, con Inglese come primo esame per facilitare la comprensione di quelli successivi, selezionati tra i migliori disponibili e quindi, anche in lingua inglese"

Questo percorso si compone di Certificazioni professionalizzanti in grado di definire ruoli aziendali ricercatissimi, e possono essere svolti come tirocinio formativo di un percorso Universitario.

Il percorso Sistemista prevede infatti 250 ore di formazione tra formazione asincrona, materiale didattico e attività pratiche.

Per il profilo di Sistemista si richiede il completamento di:

  • English Grammar Course - per una durata di 27 ore
  • Computer Architecture - per una durata di 23 ore
  • Database - per una durata di 19 ore
  • Python - per una durata di 56 ore
  • Big Data - per una durata di 27 ore
  • Microservizi - per una durata di 27 ore

Il completamento di questo Cluster, considerato che tutti i percorsi inseriti sono a pagamento, ha un costo di circa 1000 Euro (prezzi pieni, senza considerare promozioni periodiche della Piattaforma Udemy).

Ogni studente è libero di affrontare in modo indipendente il percorso ed assumersi il costo pieno.

In alternativa, tramite una partnership tra Guilds42 e ATLAS, si potrà offrire uno sconto del 90% circa portando il costo effettivo per i candidati a 150 Euro in tutto.

Per accedere a questa scontistica però la procedura di iscrizione dovrà seguire un iter differente. Si entra in contatto tramite Guilds42 con ATLAS (inviando mail a info@guilds42.com) e si riceve un token di accesso ed un account personale al prezzo scontato.

Chi parteciperà al progetto ATLAS avrà inoltre la possibilità di ricevere:

  1. Shadowing: Gli studenti che accedono al percorso potranno partecipare come osservatori a meeting in azienda (reali). Potranno vedere cosa viene fatto e come con microfono in muto. Anche il semplice ascolto di questi meeting fornisce una esperienza pratica di quali sono realmente le dinamiche aziendali.
  2. Risorsa tutor Questa è un'opzione che lo studente può decidere di attivare ad un costo extra. Il Tutor diviene una risorsa professionale assegnata, a cui lo studente potrà fare domande per approfondire e capire ciò di cui si è discusso nei meeting e ciò su cui si sta lavorando. Si tratta di una risorsa aziendale che metterà a disposizione il proprio tempo per spiegare quello che viene fatto, come e perché allo studente. Il costo aggiuntivo per la risorsa Tutor personale è di 850 Euro una tantum, per l'intera durata del progetto.
  3. Bottega: Se poi lo studente vorrà anche partecipare al progetto che sta osservando, la risorsa in azienda gli farà anche svolgere delle task pratiche per una esperienza più attiva e approfondita.
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    tematica Soft-Skills

    Course delivered in English
    Lessons: 11
    Level: Beginners
    Access: Paid Online Course (price may vary)

    Master English grammar - beginner to advanced English grammar course + FCE, CAE transformations & Phrasal verbs

    Welcome to the unique Complete English Grammar Course - from A1 to C1 level course!
    This course is created to help you build your grammar skills. With the numerous lectures and exercises, its aim is to be the one of a kind solution to all doubts in terms of using English structures.

    This course includes

    • 11 sections
    • 308 lectures • 27h 38m total length
    • 27.5 hours on-demand video
    • 2 articles
    • 148 downloadable resources
    • 2 practice tests
    • Full lifetime access
    • Access on mobile and TV
    • Assignments
    • Certificate of completion

    What you'll learn

    • You'll be able to speak with confidence
    • You'll master all grammar structures in English
    • You'll become fluent in the language
    • You'll be ready for a certificate course (B2 level)
    • You'll have practised many FCE and CAE key word sentence transformations
    • You'll know a bunch of useful phrasal verbs

    Requirements

    • Elementary to pre-intermediate knowledge of English vocabulary
    • Basic reading skills

    Who this course is for:

    • Everyone who wants to learn English grammar
    • Everyone who wants to improve their English
    • Every learner of English
    tematica Coding

    Course delivered in English
    Lessons: 7
    Level: Advanced
    Access: Paid Online Course (price may vary)

    Learn how basic computers are designed - a fundamental topic in computer science

    Course content
    7 sections • 39 lectures • 2h 0m total length

    This course includes:

    • 2 hours on-demand video
    • Full lifetime access
    • Access on mobile and TV
    • Certificate of completion

    What you'll learn

    • Know what binary numbers are and how to do basic math with them
    • Know how a computer uses electricity to do computations
    • Design and program a basic, but working, CPU and memory circuit
    • Be able to define and understand basic assembly and machine code

    Requirements

    • Students should have a desire to understand how computers really work
    • The only required knowledge is basic math and the ability to think logically however a total beginner will likely find this class very challenging

    Description

    • Learn how a computer works with this basic, but detailed course on the foundations of computer design.
    • In this course you will learn how a computer really works and by the end you will be able to understand the design of a programmable central processing unit. This class is the foundation of a computer science curriculum.
    • Designing your first computer!
    • Learn binary and hexadecimal numbers
    • Understand logic gates
    • Recognize multiplexers decoders and the ALU
    • Learn how to design memory chips and CPU registers
    • Build a basic central processing unit
    • A building block to more advanced computer topics
    tematica Coding

    Course delivered in English
    Lessons: 16
    Level: Advanced
    Access: Paid Online Course (price may vary)

    Learn memory management in operating systems as operating system forms the core of computer science

    Course content
    16 sections • 103 lectures • 12h 20m total length

    This course includes:

    • 12.5 hours on-demand video
    • 3 articles
    • Full lifetime access
    • Access on mobile and TV
    • Certificate of completion

    Description
    Welcome to the course Operating systems Part 2 : Memory Management Masterclass !!!
    Mastering the concepts of Operating Systems is very important to get started with Computer Science because Operating System is the program which is responsible for the ease with which we are able to use computers today to solve our problems by writing application programs like Google Chrome. The concepts which we are going to study is going to give a very good understanding of Operating System like what are the allocation strategies used by Operating Systems , what are the memory management strategies used by Operating Systems , paging in operating systems, page replacement in operating systems, , how paging works in operating systems , how segmentation works in operating systems , how virtual memory works in operating systems , how multilevel paging works in operating systems , how CPU executes a process using memory manager.
    Without using Operating Systems ,it is extremely difficult to communicate with the hardware devices of our computer. Every computer today has an Operating System installed in it. Through this course you will not only master Operating Systems but also get ready for venturing into advanced concepts of Computer science
    In this course, every concept of Operating Systems is taught in an easy-to-understand manner such that anybody who has basic knowledge of operating systems like scheduling, devices in out computer, how a process is created etc. can understand this course well.
    Come and join me, I assure you that you will have the best learning experience of not just Operating Systems but also the core of Computer Science in a different dimension.

    tematica Coding

    Course delivered in English
    Lessons: 9
    Level: Advanced
    Access: Paid Online Course (price may vary)

    Learn the concepts of Operating Systems from scratch as Operating System forms the core of Computer Science

    Course content

    • 9 sections • 66 lectures • 8h 21m total length

    This course includes:

    • 8.5 hours on-demand video
    • 5 articles
    • Full lifetime access
    • Access on mobile and TV
    • Certificate of completion

    Description

    You’ve just stumbled upon the most complete, in-depth Operating System course series online. With over 2700 students enrolled and hundreds of 5 star reviews to date, these comprehensive operating system tutorials cover everything you’ll ever need.
    Whether you want to:

    • - build the skills you need to get started with computer science
    • - move to a top notch software company like google by cracking their interview questions on operating systems.
    • - get a top grade in semester exam
    • - or just learn computer science to be able to understand on how to build better apps.

    ...this complete operating system series is the course you need to do all of this, and more.

    • Are you aiming to get your computer science degree with high level of expertise in core subjects ?
    • or Are you aiming to get placed in a a top notch company like Google, Microsoft ?
    • or Are you a college student struggling to understand the basics of computer science ?
    • or Are you a software developer who would want to develop better apps by understanding the theory behind computer science ?

    This course is designed to give you the operating system skills you need to crack the interview questions on operating system in top notch companies. By the end of the course you will understand Operating System Concepts extremely well and be able to start with any subject of computer science.
    Lots of students with no zero knowledge of computer science have been successful with their college exams or interview by taking this course.
    Here are some examples of students who found this course to do wonders for their college exams or interviews or software jobs.

    "thank you , i finished the operating system course in the college with a good grade 85" by Moamen Medleg

    "His way of explaining complex concept is Great. I started to understand little bit that this is base for all programming language. I have around 12 years of IT experience. Hope OS learning should be mandatory to all before starting their career in IT" by Happy.

    "Very good explanation of all the learning materials. He is unlike many other instructors who just throws things out to you expecting you to absorb the things that are being thrown at you. He is someone who explains things in a manner that is understandable and absorbable even to O/S beginners with only limited knowledge or background in O/S. Two thumbs up from me! Thank you so much!" by Mike

    "I really enjoyed this course. Instructor made it seems like he is standing there and wouldn't leave the screen until the concepts gets into your head. So much engaging and wherever he says, we will see this later. He make sure you will. I totally recommend" by Surbhi Vasudeva

    "excellent course i had started with 0 knowledge now i had learned so much best lecturer super planning of schedule" by Harshavardhan Gupta

    "I really enjoyed the course and the instructor provided a great overview of the fundamentals of the theory behind operating systems. In case you are confused, the course is theoretical as opposed to a walk through of how to use Windows, Mac, etc. Instead, he provides an overview of the algorithms used to move processes from RAM to the CPU. I look forward to Part 2" by John Simons

    "Great, very detailed course. Ideal for non IT-educated students like me" by Michal Burdzy

    "Great Teacher. Takes concepts slow and repeats definitions and meanings multiple times so there is no need to pause the video or rewind it to hear a definition. Uses this practice to reinforce the material in your mind and ensure you actually learn it rather than hear it" by Sam Debois

    The course series (part 1 to 4) on operating systems is a whopping 46 hours long. Because the course is designed as a one stop shop for Operating System Concepts. And this 46 hours dedication will change your way of thinking towards computer science.

    Why would you choose to learn Operating Systems ?

    The reality is that there are a lot of computer science subjects out there. It's in the hundreds. Why would you choose the operating systems subject?

    The reason is starting most of the subjects of computer science will become far more easier if you have a good understanding of operating systems. By learning this subject you are not only getting started with operating system but also getting started with computer science.


    What textbook should I follow ?

    I have used operating system concepts by Galvin. Its a great textbook. You can follow it. But I have referred lot of other textbooks like Tanenbaum, William Stallings, etc. So its upto you on which textbook you are comfortable with but follow a standard author book. If you complete this course, you will find it much easier to understand these textbooks. But anyway if you complete this course with good detailed notes, you don't need to read any textbook as I am reading them for you and giving the contents in an easy to understand manner.


    Why should you take this course?

    • It's been a best seller since it's release on Udemy, you would be joining over 2700 students who are already enrolled in the course.
    • There are close to 500 reviews left by students. It's rated as the best course to learn operating system for beginners.
    tematica Coding

    Course delivered in English
    Lessons: 19
    Level: Advanced
    Access: Paid Online Course (price may vary)

    Become an In-demand SQL Professional & Pass Oracle SQL 1Z0-071 (OCA) Certification Exam Confidently!

    Knowing SQL can get you a better job or improve the one you have and it can earn you $80-100k+ in the IT Industry. It's a skill that will put you more in demand in the biggest technology companies in the IT industry, and make your software life easier, this is why it's so popular and backed by Oracle. This course will help you quickly get up to speed with Oracle SQL. I will demystify the query skill and help you understand the essential concepts of how to write SQL codes easily and thinking analytically against the problem in your company.

    This course includes:

    • 19 sections • 161 lectures • 25h 26m total length
    • 25 hours on-demand video
    • 11 articles
    • 16 downloadable resources
    • Full lifetime access
    • Access on mobile and TV
    • Assignments
    • Certificate of completion

    Requirements

    • Nothing more than a working computer; all PC, Mac or Linux, etc. users are all welcome.
    • No previous programming experience is required!
    • No paid tools are required!

    Description

    • Are you a student ready to learn SQL for your lessons?
    • Do you want to get a better job?
    • Are you bored with watching a lot of stuff, but could not learn anything?
    • Do you think you know SQL, but you cannot write SQL codes?
    • Are you looking for a really professional course?

    In this course, all the subjects are explained in a professional order.

    If you are new to SQL, no problem! You can easily learn with all the details of SQL. If you already know SQL and want to improve, this course explains all the details including all of the subjects. After completing this course, you will learn all that you need to know. If you don't see something in this course, it means you really don't need to know it for now. Coding can be learned with coding. A course that has no example is not a course at all. And there are hundreds and hundreds of codes in this course.

    ★ Last Course Updates: ✔ (Jul, 2021): 3-Real SQL(200+ High-Quality Questions) Certification Exam Samples are added!

    Important Notice: This course will be continuously getting updated with more lectures, quizzes, assessments to enhance your knowledge on Oracle SQL.

    tematica Coding

    Course delivered in English
    Lessons: 32
    Level: Advanced
    Access: Paid Online Course (price may vary)

    Master Angular 12 (formerly "Angular 2") and build awesome, reactive web apps with the successor of Angular.js

    What you'll learn

    • Develop modern, complex, responsive and scalable web applications with Angular 12
    • Fully understand the architecture behind an Angular application and how to use it
    • Use the gained, deep understanding of the Angular fundamentals to quickly establish yourself as a frontend developer
    • Create single-page applications with one of the most modern JavaScript frameworks out there

    Course content
    32 sections • 461 lectures • 34h 7m total length

    This course includes:

    • 34 hours on-demand video
    • 41 articles
    • 147 downloadable resources
    • Full lifetime access
    • Access on mobile and TV
    • Assignments
    • Certificate of completion
    tematica Coding

    Course delivered in English
    Lessons: 25
    Level: Advanced
    Access: Paid Online Course (price may vary)

    This Python For Beginners Course Teaches You The Python Language Fast. Includes Python Online Training With Python 3

    What you'll learn

    • Have a fundamental understanding of the Python programming language.
    • Have the skills and understanding of Python to confidently apply for Python programming jobs.
    • Acquire the pre-requisite Python skills to move into specific branches - Machine Learning, Data Science, etc..
    • Add the Python Object-Oriented Programming (OOP) skills to your résumé.
    • Understand how to create your own Python programs.
    • Learn Python from experienced professional software developers.
    • Understand both Python 2 and Python 3.

    Course content
    25 sections • 492 lectures • 67h 11m total length

    This course includes:

    • 66.5 hours on-demand video
    • 14 articles
    • 16 downloadable resources
    • 34 coding exercises
    • Full lifetime access
    • Access on mobile and TV
    • Certificate of completion

    Requirements

    • A computer - Windows, Mac, and Linux are all supported. Setup and installation instructions are included for each platform.
    • Your enthusiasm to learn this go-to programming language. It’s a valuable lifetime skill which you can’t un-learn!
    • Everything else needed to start programming in Python is already included in the course.
    tematica Coding

    Corso erogato in Lingua Italiana
    Moduli: 21
    Livello: Advanced
    Accesso: Paid Online Course (price may vary)

    Impara ad analizzare e processare i Big Data con Python e Spark ( PySpark )

    Cosa imparerai

    • Utilizzare Python e Spark per Analizzare i Big Data
    • Utilizzare MLlib per Creare Modelli di Machine Learning con i Big Data
    • Installare e Configurare PySpark su una Macchina Virtuale
    • Installare e Configurare PySpark con Amazon EC2
    • Creare un Cluster di Macchine per PySpark con Amazon EMR
    • Utilizzare gli Amazon Web Service (AWS) per l'Analisi di Big Data
    • Imparare ad Utilizzare DataBricks per l'Analisi di Big Data
    • Utilizzare l'RDD per Elaborare Dati in Parallelo
    • Utilizzare il DataFrame per Processare Dati in Maniera Efficiente
    • Utilizzare Spark Streaming per elaborare flussi di dati in Tempo Reale
    • Creare un Modello di Sentiment Analysis con il Dataset di Yelp (5 GB !)
    • Processare Tweets pubblicati su Twitter in Tempo Reale

    Contenuti
    21 sections • 142 lectures • 12h 8m total length

    • 12 hours on-demand video
    • 7 articles
    • Full lifetime access
    • Access on mobile and TV
    • Certificate of completion

    Requisiti
    Nessun prerequisito particolare è richiesto, solo passione e voglia di imparare a lavorare con i Big Data

    tematica Coding

    Corso erogato in Lingua Italiana
    Moduli: 11
    Livello: Advanced
    Accesso: Paid Online Course (price may vary)

    Da principiante a esperto nelle tecniche di Data Science con Python: machine learning, network neurali, text mining e...

    Cosa imparerai:

    • Ripasso delle basi di Python e delle sue strutture dati
    • Ambienti di programmazione per il Data Science
    • Importazione di dataset in Python
    • Creazione grafici ed esplorazione dataset
    • Manipolazione e gestione dataset
    • Preprocessing e pulizia dei dati per l'analisi
    • Teoria e algoritmi di machine learning, metodi supervisionati e non supervisionati
    • Teoria e algoritmi di machine learning
    • Valutazione e validazione di modelli
    • Pulizia e analisi testi
    • Metodi per la Sentiment Analysis

    Course content

    • 11 sections • 140 lectures • 17h 46m total length
    • 18 hours on-demand video
    • 3 articles
    • 1 downloadable resource
    • Full lifetime access
    • Access on mobile and TV
    • Certificate of completion

    Requisiti

    • Conoscenza base di Python
    tematica AI & Machine Learning

    Course delivered in English
    Lessons: 19
    Level: Advanced
    Access: Paid Online Course (price may vary)

    Combine the power of Data Science, Machine Learning and Deep Learning to create powerful AI for Real-World applications!

    What you'll learn

    • Build an AI
    • Understand the theory behind Artificial Intelligence
    • Make a virtual Self Driving Car
    • Make an AI to beat games
    • Solve Real World Problems with AI
    • Master the State of the Art AI models
    • Q-Learning
    • Deep Q-Learning
    • Deep Convolutional Q-Learning
    • A3C

    Course content

    • 19 sections • 122 lectures • 16h 36m total length
    • 16.5 hours on-demand video
    • 21 articles
    • 1 downloadable resource
    • Full lifetime access
    • Access on mobile and TV
    • Certificate of completion

    Requirements

    • High School Maths
    • Basic Python knowledg
    tematica AI & Machine Learning

    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.
    tematica AI & Machine Learning

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

    Give you a solid background in AI with MACHINE LEARNING, Deep Learning ... step-by-step to algorithms & coding exercises

    What you'll learn

    • Understand the concepts and BRANCHES of AI that you'll never find elsewhere!
    • Understand Machine Learning algorithms STEP-BY-STEP
    • Be able to implement Machine Learning algorithms in Python
    • Understand and implement Artificial Neural Network & Deep Learning
    • Understand and implement Regression, Classification, and Clustering algorithms
    • Enhance your AI background with Fuzzy Logic and Evolutionary Computation (very USEFUL)
    • Get a SOLID BACKGROUND in Artificial Intelligence and Machine Learning
    • Practical exercises step-by-step: handwritten digits recognition, house price prediction, customer segmentation ...

    Course content

    • 10 sections • 26 lectures • 6h 15m total length
    • 6.5 hours on-demand video
    • 24 downloadable resources
    • Full lifetime access
    • Access on mobile and TV
    • Assignments
    • Certificate of completion

    Requirements:

    • Some basic concepts of linear algebra and calculus (just a little)
    • Some basic syntaxes in Python would be helpful in doing assignments
    tematica AI & Machine Learning

    Corso erogato in Lingua Italiana
    Moduli: 14
    Livello: Advanced
    Accesso: Paid Online Course (price may vary)

    Apprendi i segreti del Deep Learning e impara a creare le tue Reti Neurali Artificiali con Python, Keras e Tensorflow.

    Cosa imparerai:

    • Comprendere il funzionamento delle Reti Neurali Artificiali
    • Comprendere i vantaggi delle Reti Neurali Artificiali Profonde
    • Distinguere i diversi tipi di algoritmi di ottimizzazione
    • Programmare una Rete Neurale Artificiale con Keras su Tensorflow
    • Addestrare una Rete Neurale Artificiale per il riconoscimento di oggetti
    • Addestrare una Rete Neurale Artificiale per la classificazione di testi
    • Addestrare una Rete Neurale Artificiale Profonda utilizzando la GPU
    • Addestrare una Rete Neurale Artificiale Profonda nel Cloud
    • Creare Reti Neurali Convoluzionali per problemi di Computer Vision
    • Creare Reti Neurali Ricorrenti (LSTM e GRU) per problemi di Natural Language Processing
    • Utilizzare il Word Embedding per creare una rappresentazione vettoriale dei testi
    • Analizzare un dataset utilizzando Pandas
    • Lavorare con iPython e Jupyter Notebook

    Contenuti:

    • 14 sections • 139 lectures • 12h 53m total length
    • 12.5 hours on-demand video
    • 13 articles
    • Full lifetime access
    • Access on mobile and TV
    • Certificate of completion

    Requisiti:

    • Basi di matematica da scuola superiore
    • Conoscere un qualsiasi linguaggio di programmazione può aiutare, ma non è indispensabile, è presente una sezione su Python per principianti assoluti
    tematica AI & Machine Learning

    Corso erogato in Lingua Italiana
    Moduli: 14
    Livello: Advanced
    Accesso: Paid Online Course (price may vary)

    Impara a creare algoritmi di Machine Learning con Python e Scikit-learn - Regressione, Classificazione, Clustering

    Cosa imparerai:

    • Padroneggiare il machine learning con Python
    • Analisi di un dataset per estrapolare informazioni utili
    • Funzionamento dei modelli di machine learning più diffusi
    • Utilizzare il machine learning su problemi reali
    • Differenza tra modelli supervisionati e non supervisionati
    • Scegliere ed ottimizzare un modello di machine learning
    • Eseguire predizioni e classificazioni partendo dai dati
    • Eseguire clustering per raggruppare automaticamente dati simili
    • Imparare ad utilizzare Pandas e Scikit-learn
    • Lavorare con iPython e Jupyter Notebook

    Course content

    • 14 sections • 98 lectures • 11h 51m total length
    • 12 hours on-demand video
    • 5 articles
    • Full lifetime access
    • Access on mobile and TV
    • Certificate of completion

    Requisiti:

    • Basi di matematica da scuola superiore
    • Conoscere un qualsiasi linguaggio di programmazione può aiutare, ma non è indispensabile in quanto il corso contiene una sezione con tutti i prerequisiti necessari