Data Analytics Overview


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  • Duration: 4 Hours
  • Certification: Participants will receive a Certificate of Completion upon successfully completing the course
  • Who Should Attend: CIO, CTO, CISO, Information Specialist, Data Analysis, Data Scientist, Information Analysis, Marketing, HR, and Anyone interested in acquiring essential knowledge and skills in leading a Data-driven Digital Transformation in any organizations.

Course Objective

Acquire overall knowledge on how to strategically manage data analytics projects and deploy successful data strategies

Learn how to unleash the prowess of Python Programming to kickstart Data Analytics processes in a business.


No pre-requisite. Data Analytics Overview is suitable for everyone


No Examination Required

Course Outline

Module 1
Understanding the Digital Opportunities and Threats

Topics Covered

  • Digital Transformation Trends
  • Understanding Industry 4.0 and its Impact on Businesses
  • Key Pillars to Industry 4.0
  • Incumbency, Talent and Culture
  • Why are Companies Not Advancing in Transformation
  • Key Components to a Successful Digital Transformation

Module 2
Data Analytics Essentials

Topics Covered

  • Overview of Data Analytics
  • Analytics Fundamental
  • Fundamental Analytic Techniques
  • Key Analytics Concept
  • Types of Data
  • Where and How to Get Data
  • Different Types of Analytics Solutions
Module 3
Key to Analytics Success

Topics Covered

  • Data Analytics Mature Levels
  • Success Factors of Data Analytics
  • Data Analytics as a Corporate Strategy
  • Valuing Information Assets
  • Data Science and AI Ethical Code of Conduct
  • Delivering Business Value with Data Analytics
Module 4
Deep Dive into Python Programming for Data Analytics

Topics Covered

  • Introduction to Python Programming
  • Understanding Python Programming and Its Application
  • Introduction to Python Pandas, NumPy, and Matplotlib for Data Analytics
  • Simple Data Preprocessing using Python
  • Using Python Programming to Uncover Data Insights
  • Data Visualization Using Python Programming
  • What's Next?
Module 5
Developing a Digital Transformation Framework

Topics Covered

  • Introduction to Digital Transformation
  • Key Components to a Digital Transformation Framework
  • Building a Digital Transformation Strategy
  • Evaluating the Success of the Digital Transformation Framework
  • Putting Everything Together
  • What's Next?

Data Analytics Overview involves rigorous usage of real-time case studies, hands-on exercises and group discussion

Some Reasons Why Learners Choose CASUGOL

  • International Certification Body

  • Presence in 38 Countries

  • Developed by Industry Experts

  • More than 42,000 professionals passed through our education system

  • Flexible program design for all individuals

  • Learn from internationally renowned leading industry experts, academics, and researchers

  • Support for participants during and after training

  • Enhance competency of workforce and improve individual career prospect

  • Customization of programs for specific industry, organization, government agencies, statutory boards

  • Learn in a highly interactive, supportive and encouraging environment

  • Regular invitation to attend courses / workshops / seminars / events at complimentary rate

Individual or Self-Sponsored Learners

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  • STEP THREE: In the pop-up page, click on View Cart

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  • STEP FIVE: In the Checkout page, complete the Billing Details and click on Place Order

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Certificate Verification

All certificates issued by CASUGOL are to individuals who have successfully completed CASUGOL Certification Programs / Executive Workshops and have fulfilled all requirements by demonstrating proficiency in applying the knowledge and skills acquired.

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