DATA SCIENCE FUNDAMENTALS (DATA SCIENCE FUNDAMENTALS)

ISACA’s Data Science Fundamentals course is designed to provide a solid understanding of fundamental data management concepts. Participants will develop the skills necessary to understand data structure and characteristics, the main database types, data governance, statistical analysis processes, and end-to-end data analysis. The course will also provide an overview of the main machine learning, data cleansing, metadata, and file hashing models.
Through interactive modules, practical case studies, and online learning tools, ISACA’s Data Science Fundamentals course, organized by AIEA (ISACA Milan Chapter), aims to leverage corporate information assets and extract value from them through the introduction of innovative technologies (machine learning, big data, artificial intelligence, etc.). The ultimate goal is to enable professionals to acquire practical, certified skills for the strategic and effective management of data within their organizations.

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1,830+ Learners
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Certification Body ISACA
Delivery Profice
Lowest price guaranteed
Live course + exam
€1150
Excl. VAT
Self Paced E-Learning + Exam
€940
Excl. VAT
  • Exam voucher
  • Hands-on labs
  • Certificate
  • Lifetime support
  • Official courseware

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Course Information

Course Code DATA SCIENCE FUNDAMENTALS
Duration 1.5 Days
Delivery Online Live, Self Paced
Exam Voucher Included
Certification Body ISACA
Certification DATA Science Funda.

What You Will Learn

The course, developed to guide participants toward the ISACA DATA SCIENCE FUNDAMENTALS certification, is designed to provide the skills needed to collect, analyze, and interpret data to guide business decisions. Upon completion of the course, students will be able to effectively analyze data to identify opportunities for improvement, recognize patterns and trends, and present results clearly and consistently. The Data Science Fundamentals course will provide the skills to: - Understand the fundamentals of data science, including data types, sources, and preparation; - Apply data visualization techniques to clearly and effectively communicate information and results; - Develop proficiency in data analysis tools and techniques, such as machine learning, regression, and clustering; - Recognize and mitigate data quality and integrity issues; - Understand the importance of data governance and ethics in data science; - Design and implement data-driven solutions to solve business problems; - Apply Data Storytelling techniques to effectively communicate Data Science information and results to stakeholders.

Course Curriculum

– Data Characteristics
– Data Structures
– Statistical Analysis

– Data Management Systems
– Governance
– Access and Protection

– Data Discovery and Goal Identification
– Data Collection
– Data Classification
– Data Processing (first part)
– Data Processing (second part)
– Communication of Results

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All You Need to Know

Who Should Attend

The course is aimed at Data Scientists, IT Auditors, IT Managers, Data Quality & Compliance Managers and Administrators, Data Base Administrators, Functional Analysts and Designers, SW Architects

Prerequisites

There are no prerequisites to access the course.

Course Materials

The course fee includes only the electronic documentation supporting the lectures (course slides), but not the study materials described below, which can be purchased separately.

The cost of the materials includes:
– Practice exercises
– Data Science Fundamentals Official Study Guide

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Live course + exam €1150 excl. VAT
Self Paced E-Learning + Exam €940 excl. VAT
4.5/5 Official ISACA partner Exam included 1,830+ alumni
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