Data Analytics Overview Using Python x ChatGPT

For more information: https://casugol.com/dao-2/

International Acclaimed Certification. 5-Star Reviews

Suitable for everyone. Learn in an Interactive, Supportive, and Encouraging Environment.

Duration: 8-hours

Certification: Participants will receive a Certificate of Completion upon successfully completing the course

Who Should Attend: Aspiring Data Analysis, Non-technical professionals, Business Analysts, Managers, Decision Makers, Students, Academics, Entrepreneurs, AI Enthusiasts, and Anyone interested in Data Analytics Overview

Course Objective

• Acquire essential knowledge on the role of data analytics in various industries and decision-making processes and the prowess of Python Programming x ChatGPT as a tool for data analysis
• Learn how to use Python and ChatGPT to extract meaningful insights from data, make informed decisions, and explore possibilities of data analytics and AI-driven text generation.

Pre-Requisite

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

Examination

No Examination Required

Module 1 Overview of the Digital Landscape, Opportunities, and Threats

In this module, participants will delve into the rapid evolution of technology, exploring the transformative impact of trends such as artificial intelligence, IoT, and blockchain. Through case studies and real-world examples, they uncover the myriad opportunities for innovation, efficiency, and connectivity in business, healthcare, and everyday life.

Topics Covered

• Update on the 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
• Data - The Key Component to a Successful Digital Transformation

Module 2 Data Analytics Overview

The module underscores the importance of data-driven insights in shaping business strategies, enhancing efficiency, and identifying emerging opportunities. As an essential precursor to further exploration, this module lays the groundwork for participants to embark on a journey of discovering the transformative potential of data analytics.

Topics Covered

• Overview of Data Analytics
• Analytics Fundamental
• Fundamental Analytic Techniques
• Key Analytics Concept of Data Analytics
• Different Types of Data
• Where and How to Get Data
• Deep Dive into Data Governance

Module 3 Key to Data Analytics Success

Explore the value of continuous learning and adaptability in the dynamic landscape of data analytics, preparing them to evolve alongside advancements in technology and methodology. With a focus on mastering these fundamental principles, participants gain the insights necessary to navigate the complexities of data analytics and achieve impactful results.

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

Participants embark on a hands-on journey to master Python's syntax, data structures, and functions, gaining fundamental understanding in using libraries such as NumPy and Pandas for data manipulation. Through interactive coding exercises, participants acquire the skills to clean and transform data efficiently, setting the stage for deeper analysis.

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
• ChatGPT and Generative Artificial Intelligence (AI)

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