Working with digital data

Welcome to a presentation on working with digital data. In this material, we will cover the main aspects of this field, from the definition of digital data to its practical applications.

What is digital data?

Digital data is information represented in binary code—that is, as a sequence of ones and zeros. It is stored, processed, and transmitted using electronic devices.

Examples of digital data include text, images, videos, audio recordings, location data, purchase information, medical records, etc. Today, data is becoming an important resource in various fields, from business to scientific research.

Sources and types of digital data

Internet

Websites, social networks, search engines, online stores.

Devices

Smartphones, tablets, computers, sensors, GPS trackers.

Sensor

Data on weather, temperature, pollution levels, traffic.

Databases

Database management systems (DBMS) store structured data for various purposes.

Methods of data collection and storage

Databases

Structured data, tables, are stored in a DBMS.

Cloud storage

Data storage in cloud services, available online.

Network protocols

HTTP, FTP, TCP/IP – provide data transfer over networks.

Ethical issues in working with data

Confidentiality

Protection of personal information, non-disclosure of data without consent.

Justice

Use of data without discrimination, fair and transparent analysis.

Transparency

Transparency in methods of data collection and use, accessibility of information.

Data processing and analysis

1

Collection

Data is collected from various sources.

2

Cleaning

Removing errors, duplicates, data transformation.

3

Analysis

Application of statistical methods, construction of models.

4

Visualization

Presentation of data in graphs, charts, maps.

5

Interpretation

Drawing conclusions and making decisions.

Data visualization

Data security and privacy

1

Encryption

Protecting data from unauthorized access.

2

Authentication

User authentication, access control.

3

Firewalls

Protection from external threats, network traffic control.

Examples of practical application

100M

Advertising

Targeted advertising, user behavior analysis.

10B

Healthcare

Diagnosis of diseases, drug development.

1K

Finance

Market forecasting, risk management.