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Data Analytics

Data science is an expansive topic and many different types of industry are getting involved to facilitate better decision making. Industry areas such as banking fraud detection, finance & shares, healthcare, manufacturing industry and logistics, product marketing & business intelligence are some of the areas where data analytics have proved useful. These areas diverge in terms of approach and software used but have similar foundations, such as data preparation, mathematics and visualization.

Suitable For:

This course is suitable for professionals who are looking to enhance their data analytics skills, including business analysts, marketing professionals, data scientists, and those who work with data-driven decision-making.

Key Course Features:

"• Introduction to Data Science & Analytics
• Pathways & types of data scientist
• Data science applications (big, analysis, intelligence, machine, neural)
• Data ethics, GDPR
• Sources & types of data
• Tools & software
• Math behind data science
• Data analysis techniques"

Course Outcome

"Upon successful completion of the Data Analytics Course participants will gain the skills and knowledge necessary to:
• Understand key data analytics concepts and methodologies
• Utilize various tools to perform data analysis
• Draw actionable insights from data to support decision-making processes
• Apply analytics techniques to real-world scenarios."

Key Info:
Duration: 1 Day
Structure: Online / On-Premises
Participants: Up to 12
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