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DATA SCIENCE
INTRODUCTORY COURSES

Data
Management

LEVEL
Introductory courses


DURATION
6 hours divided into two days


TRAINER
University of Turin


MODE
Online


TRAINEES
min 5 - max 40


PRICE
200€



Course delivered in collaboration with:

Description

Introduction, history of Artificial Intelligence and its false promises, understanding what A.I. really consists of, application examples and business opportunities

Macro Topics

- Definition of Big Data: Insight into the definition of Big Data, exploration of the characteristics that distinguish it such as volume, variety, and velocity. Understanding of why Big Data is critical for businesses today.

- Data Management: analysis of the key principles of Data Management including data acquisition, storage, quality and security. How to plan and implement an effective data management system.

- Data Format: Insight into the importance of data format in data management. Analysis of common formats such as CSV, JSON, XML and best practices for structuring data.

- Data Analysis: Exploration of the main techniques and tools for data analysis. How to translate data into meaningful information to make informed business decisions.

- Dataset Types: Study of the different types of datasets including structured, semistructured and unstructured datasets. Understanding of how to manage each type of dataset optimally.

Trainee’s Profile

The course is aimed at managers and professionals interested in developing skills in Data Management. Advanced knowledge is not required, but a basic understanding of information technology and the fundamentals of innovation will be helpful in deriving maximum benefit from the course.

Pre-Requirements

- Basic knowledge of information technology and basic principles of innovation.
- Familiarity with Microsoft Office tools or similar software.
- A self-assessment test is not required to participate.

Objectives

Upon completion of the course, participants will be able to:
- Understand key concepts related to Big Data and Data Management.
- Manage and organize data efficiently.
- Use appropriate data formats for different business needs.
- Think about appropriate data analysis to make informed decisions.
- Recognize and address data security challenges.

More info

English language available upon request.
The subscription must be carried out within the fifth working day preceding the course starting date.

Pre-registration

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