Big Data Analysis in the Telecommunications Sector

Course Overview

Big data analytics has become a vital element in the telecommunications sector, allowing telecom companies to extract valuable insights from large volumes of data to enhance their services and make strategic decisions based on accurate data. This training program covers how to collect and analyze big data and apply the findings to improve performance and increase efficiency.

Course Objectives

Understanding Big Data: Learn the concept of big data and the importance of its analysis in the telecommunications sector.
Data Collection: Understand how to effectively collect big data from various sources.
Data Analysis: Acquire the skills necessary to analyze big data and use appropriate analytical tools.
Applying Results: Learn how to apply the results of data analysis to improve operations and make strategic decisions.

Target Audience

Data analysts and professionals in artificial intelligence and machine learning
IT staff in telecommunications companies
Managers of technical departments involved in performance analysis and process improvement
Marketing experts who rely on data to enhance their strategies
Academics and researchers in the fields of telecommunications and data analysis

Course Modules

Introduction to Big Data

Big Data Definition : Understanding the concept of big data, its characteristics, and the importance of analyzing it in the telecommunications sector.
Big Data Challenges : Examine the challenges associated with handling big data, including volume, variety, and velocity.
Techniques and Tools : Learn about the technologies and tools used in big data analysis, such as Hadoop and Spark.

Big data collection

Data Sources : Learn how to collect data from various sources such as networks, mobile devices, and client applications.
Collection Strategies : Understand big data collection strategies to ensure accuracy and comprehensiveness.
Data Storage : Study ways to store large data effectively to ensure fast and secure access.

Big Data Analysis

Analytical tools : Gain skills in using appropriate analytical tools such as big data analysis tools and machine learning techniques.
Analytical Techniques : Learn big data analysis techniques such as statistical analysis, trend analysis, and forecasting.
Data Visualization : Understand how to visualize big data to easily understand results and make decisions

Application of results in the telecommunications sector

Performance Improvement : Learn how to use data analysis results to improve the performance of networks and services.
Strategic Decision Making : Understanding how to use big data to support strategic decision making in businesses.
Case Studies : Real-life case studies of applying big data analysis results in the telecommunications sector.

Instructor

Name: Dr. Abdullah Al-Shabili

Specialization: Governance and Anti-Corruption

Certificates:

Core Programs Trained:

Bio: Saudi expert in governance and anti-corruption, and faculty member at the Institute of Public Administration. He has many researches on the application of good governance in government institutions and the legal challenges related to combating corruption. He combines academic and practical experience, which enables him to provide accurate insights on the application of digital governance and its impact on combating corruption, especially in the Gulf context.

Languages: Arabic
Program Levels: Technical Executive Level
Venue: Company Headquarters
Hours: 20
Location:

Price: $1280.00