Geeks Academy
DATA SCIENCE: Data Science with Python

Data Science with Python

Data Science with Python



Course Data Science with Python

. The lessons will be held with the onLineLive formula + recorded lessons in streaming.

CourseDATA SCIENCEDuration Online

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.

DATA SCIENCE: Data Science with Python


Duration: 64

Job Placement


Where the Course Data Science with Python will take place?





Online - October 2021

15% OFF
For all registration received by 30/05/2021

2 Scholarships
available at the moment

10 places available
Course capacity: 12

Course Data Science with Python | DATA SCIENCE duration Online

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 ranked 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.

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.

Request an individual interview to know the details of the individual teaching units.

Pre-condition: curiosity, passion for technology and above all motivation.

The course is also suitable for beginners that already own basic computer skills

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

At the end of the course you will know how to:

  1. program in Python language having a good overview of the language, being able to manage backend projects and having the right foundations to deepen different aspects on your own.
  2. manage data, know how to retrieve, filter, transform and present it, also in graphic forms, and will be able, for example, to create reports, inspect which customers are interested in which product, manage production or supply, etc..

Basic technical equipment
Notebook: 64-bit dual core CPU | 8GB RAM | S.O. Windows, Linux or macOS

Note: 50' academic training hours.

"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.

"While knowing that in just three weekends it's impossible to go through all the contents related to machine learning, the course has managed to draw a precise and complete drawing of the supervised/unsupervised learning techniques available, stimulating the curiosity of those like me who are interested in going deeper".

"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.

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European Data Workers will grow from the current 6 millions to 13.4 millions by 2026; the worldwide value of the Big Data Analytics market will rise from $8.5 billion in 2017 to $40.6 billion in 2023. In 2019, the value of the Italian Big Data market was estimated at €1.4 billion, registering an increase of 26% if compared to the previous year.

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