Geeks Academy

Course ARTIFICIAL INTELLIGENCE
Data Science & Artificial Intelligence with Python
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Course ARTIFICIAL INTELLIGENCE
Data Science & Artificial Intelligence with Python

ARTIFICIAL INTELLIGENCE

ARTIFICIAL INTELLIGENCE

Course Data Science & Artificial Intelligence with Python

CourseARTIFICIAL INTELLIGENCEDuration Part-time

The course aims to train on the theoretical and practical level specialized profiles in data analysis with Python. Python, for its versatility and reliability, is the most used programming language in the field of Data Science and can be used to create solid data-based decision-making strategies.


Duration: 120

Job Placement

English

Where the Course Data Science & Artificial Intelligence with Python will take place?

City

Promotions

Scholarships

Capacity

Online - March 2022

15% OFF
For all registration received by 30/10/2021

1 Scholarships
available at the moment

10 places available
Course capacity: 12

Course Data Science & Artificial Intelligence with Python | ARTIFICIAL INTELLIGENCE duration Part-time

Scenario
Data is the new gold! Due to technological development, the computerization and the widespread diffusion of the Internet, companies, both multinationals and SME, are collecting large amounts of data.

This data can provide a lot of valuable information: they can tell us, for example, which customers are interested in one product rather than another, what trends are emerging or becoming obsolete, which customers are about to switch to a competitor and why, or even what to expect with good confidence in the immediate future.

If just the knowledge of Python, being the most in-demand programming language in the world, is enough to arouse interest in companies, what recruiters are really looking for is someone who is able to manage data and extract a concrete meaning; multinationals, consulting companies, web agencies, advertising agencies, educational institutions and government are just some of the realities that require these skills

The course aims to train on the theoretical and practical level professional figures specialized in Python, a versatile and powerful language, which this year ranks up to the first place of programming languages. Furthermore, participants at the end of this course will be able to manipulate, transform, analyse, and present data through Python libraries, such as Pandas or Matplotlib and to use AI & Machine Learning tools such as Scikit and Tensorflow.

Module 1 | Python 4 Beginners
Learning unit to start programming with Python from the basics. Development environment setup, introduction to object-oriented programming paradigms, reserved words, syntax, instructions, lists, sets, dictionaries, comprehension, operators, functions, packages, classes, exceptions, lambda function, basic external modules, advanced data types, advanced modules, mathematics, scientific, input/output, write files, exceptions, errors, debugging.

Module 2 | Data Science with Python
Manage datasets with Pandas, Import and manipulate datasets, Basic statistics, Graph creation with Matplotlib, Exploratory analysis with Seaborn, Data preparation, Data cleaning, Normalization, Coding of categorical variables, Dummy variables, Date and time series management.

Module 3 | AI & Machine Learning with Python
Historical introduction on ML and AI, Algorithm types and problems, Accuracy and validation, Feature extractions, Linear regression, KNN, SVM, Decision trees, Unsupervised methods, Clustering, Introduction to neural networks.

Module 4| Deep Learning with Python
Theoretical introduction to Neural Networks for Deep Learning, Python libraries for Deep Learning (Tensorflow), creation of a Neural Network and application to real datasets, Regression applied to different types of structured and unstructured data, such as numerical, categorical, or textual. Architectures of Neural Networks, such as Convolutional and Recurrent.

Details of each teaching unit will be provided during the first meeting.

Essential requirement: curiosity, passion for technologies and above all motivation.

The course is also suitable for beginners. Basic computer knowledge will improve learning speed.

Request an individual interview to know the details of our Entry level modules.

At the end of the course you will be able to:

  1. program in Python language and manage back end projects with it;
  2. manage, retrieve, filter, transform and present data, also in graphic forms;
  3. use the most widespread ML and AI techniques for applications such as: advertisement intelligence, finance, robotics, optimization, probabilistic prediction of future events, etc.

Diploma & Certifications
At the end of the course, you will receive a certificate of completion “GEEKS ACADEMY DIPLOMA”, a “DIPLOMA SUPPLEMENT” and the EXIN INTERNATIONAL CERTIFICATIONS included in your study plan – if you choose to sit the exam, which is not mandatory.

Furthermore, for those who will attend the bootcamp in Dubai, starting from January 2022 it will be possible to obtain an international diploma recognized by the Emirate of Dubai. 

Job Placement & Career Coaching 
This course will grant you access to exclusive Career Days with our partner companies and organizations. Besides, for a period of 5 years after the conclusion of the course, you will have the chance to benefit from our Career Coaching service for free. 
Over 95% of our graduates have found a job within 3 months since the end of the course!

International Experiences
To our students we offer the possibility to take part in exciting study trips in Dubai, Seoul, Milan, Rome and Singapore, where the hubs of our international network are located. These immersive experiences represent a great way to enrich students’ wealth of knowledge and increase their career opportunities.

Global Alumni Community
By joining this course, you will automatically become a member of the AGA: the Alumni Geeks Academy.
AGA is the community that gathers all our former students in order to offer them support, help them strengthen and develop professional relationships, provide them with networking opportunities and notify them about the latest job offers. The Alumni International Day represents the community’s most important international networking event, as well as a valuable opportunity to keep up-to-date with the latest trends and technologies. 

Smart Education Formula
Course delivery mode: synchronous distance learning + optional activities in presence. 

The lessons will take place either in the evening (21: 00-22: 40) and/or during the weekend (Saturday and/or Sunday 10:00-13:20 and/or 14:10-17:40).

*The hours indicated are intended as academic hours of 50 minutes each.

E-learning Platform
Our flexible approach allows you to study wherever and whenever you want, even if you work and do not have much time. 
All lessons are delivered OnlineLive by qualified teachers, and are recorded in real time to give you the opportunity to watch them asynchronously on our e-learning platform, in case you miss one lesson or you want to review some contents. Among other things, on the platform you will also find many useful materials for self-studying, such as self-assessment tests, exercises and exam simulations. 

Minimum hardware & software requirements
Notebook: 64-bit dual core CPU | 8GB RAM | O.S. Windows, GNU/Linux or macOS

Payment Method
It is possible to choose between two payment options:
•    Single solution: in this case, payment must be issued in one single solution before the beginning of the course, and will grant you an additional 5% discount. 
•    Multiple installments: 50% of the tuition fee must be paid before the beginning of the course, while the remaining 50% will be divided in monthly installments.

The number of places available is limited

Please fill out the form to inquire about our services & promotions and to check the availability.

Read the opinions of former students!

The ideal course for those who are interested in quickly absorbing notions of data mining and data manipulation in Python and integrate advanced forecasting models to their skills; very well structured, I recommend it to everyone because it has a practical cut that allows you to use the skills learned from the beginning, both at work (for data analyst/data scientist) and on a personal level, providing the tools to continue independently at the end of the course.

A praise to the organization and preparation of the speaker, who captured the attention of the participants showing availability and deep knowledge of the topics.
Simone M.

The course was carried out in a very well organized manner and the teacher's explanations were really clear so as to be understood in the most complete way.
Giovanni A

It is a very valid course and the lessons are held by high skilled teachers. Thanks to this course I acquired useful skills essential to improve my career.
Lavinia Quattrini

The teachers are one of the strengths of this course, they are really prepared and available to listen and answer our questions at any time . The course is well designed, starting from the basics of programming up to deep learning techniques. The teachers provide well-written notes that are useful for a review and study at home. I recommend it to everyone!
Ludmila P.

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ARTIFICIAL INTELLIGENCE

ARTIFICIAL INTELLIGENCE


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