Data & AI Mastery

By the end of this training course, participants will be able to:
• Explain the relationship between data and AI and their impact on various industries.
• Identify and utilize Chat-GPT and other generative AI tools for specific applications.
• Implement AI algorithms to improve predictive capabilities and streamline workflows.
• Create compelling data visualizations to communicate insights and drive 
decisionmaking.
• Evaluate ethical considerations in AI usage and develop strategies for responsible AI
implementation.
• Classify different types of data and their relevance in different contexts.
• Confidential Document @Absolute Data Consultancy
• Apply principles of data governance to ensure data quality, security, and compliance

COURSE OBJECTIVE
➢ Understand the foundational concepts of data and AI.
➢ Explore the latest developments in AI technologies, including Chat-GPT and other
generative AI tools.
➢ Apply AI techniques to make predictions and enhance workplace efficiency.
➢ Utilize data visualization techniques to interpret and communicate data 
effectively.
➢ Make ethical decisions in the use of AI technologies.
➢ Define different types of data and their significance in decision-making.
➢ Recognize the importance of data governance and learn strategies for effective 
data management
➢ Explore diverse career opportunities in the data and AI industry

The suitable target audience for "Problem Solving with Analytics and Critical Thinking using 
dashboard" could include professionals and decision-makers in various industries, such as:
Business Analysts,Data Analysts,Data Scientists,Managers and Executives,Operations Managers, 
Project Managers, IT Professionals, Finance Professionals, Marketing Professionals, Supply Chain 
Managers
This training or content may be beneficial for individuals involved in decision-making processes 
that require analytical thinking and the use of dashboards for effective problem-solving.

Day 1 

9.00am - 10.30am
Module 1: Introduction to Data and AI 
Definitions and Concepts: This section will cover the fundamental definitions of data and 
artificial intelligence (AI), explaining key concepts such as data types, data structures, AI 
algorithms, machine learning, and deep learning. 
Impact of Data and AI: Participants will explore the significant impact of data and AI on 
businesses, industries, and society. This includes discussions on digital transformation, 
automation, decision-making processes, and emerging trends in AI technologies. 

10.30am -10.45am Break

10.45am -1.00pm
Module 2: Latest Trends in AI 
Overview of Chat-GPT and other Generative AI Tools: This part will delve into the latest 
advancements in AI, focusing on Chat-GPT (Generative Pre-trained Transformer) and other 
generative AI tools. Participants will learn about the capabilities, functionalities, and real-world 
applications of these tools across various domains. 
Applications and Use Cases: Case studies and examples will be provided to showcase how ChatGPT and generative AI tools are being used in diverse scenarios, such as natural language 
processing, content generation, chatbots, and creative applications. 

1.00pm -2.00pm Lunch 

2.00pm -3.30pm
Module 3: AI Applications in Predictive Analytics 
Predictive Modeling Techniques: Participants will gain an understanding of predictive analytics 
and the methodologies used to develop predictive models. Topics may include regression 
analysis, classification algorithms, time series forecasting, and model evaluation techniques. 
Case Studies and Practical Examples: Real-world case studies and examples will be presented 
to demonstrate how predictive analytics is applied in various industries, such as finance, 
healthcare, marketing, and supply chain management. 

3.30pm - 3.45pm Break

3.45pm -5.00pm
Module 4: Data Visualization Techniques 
Tools and Best Practices: This section will introduce participants to data visualization tools such 
as Power BI, and Excel, along with best practices for creating effective visualizations. Emphasis will 
be placed on selecting appropriate chart types, designing clear and engaging visuals, and using 
visualization techniques to communicate insights. 
Communicating Insights Effectively: Participants will learn how to use data visualization as a 
storytelling tool to convey complex data insights, trends, and patterns to different stakeholders. 
Techniques for creating impactful dashboards and reports will also be covered. 

Day 1 

9.00am - 10.30am
Module 5: Ethics in AI 
Ethical Considerations: Discussions will revolve around ethical considerations in AI development 
and deployment, including fairness, transparency, accountability, and bias mitigation. Participants 
will explore ethical dilemmas in AI applications and the importance of ethical AI frameworks. 

10.30am -10.45am Break

10.45am -1.00pm

Module 6: Ethics in AI (Continuation of Module 5) 

Regulatory Frameworks and Guidelines: An overview of regulatory frameworks, standards, and 
guidelines governing AI ethics and responsible AI practices will be provided. This includes 
discussions on privacy laws, data protection, and ethical AI principles. 

1.00pm -2.00pm Lunch 

2.00pm -3.30pm
Module 7: Types of Data 
Structured, Unstructured, and Semi-Structured Data: Participants will learn about the 
different types of data, including structured data (e.g., databases, spreadsheets), unstructured 
data (e.g., text, images, videos), and semi-structured data (e.g., XML, JSON). The characteristics, 
storage formats, and processing methods for each type of data will be discussed. 

3.30pm - 3.45pm Break

3.45pm -5.00pm
Module 8: Data Governance 
Principles of Data Governance: Participants will learn about the principles and practices of data 
governance, including data quality management, data stewardship, metadata management, and 
data lifecycle management. The importance of data governance in ensuring data integrity, 
security, and compliance will be emphasized.

The course is instructional, step-by step in approach. Participants are also put through exercises 
to apply their understanding & learning.
LAPTOPS REQUIRED

DARSHAN GUNASEKARAN
Bachelors in Business, Data Modeling/Warehousing and Database Administration
Diploma in Management Business Administration & Management.

Mr. Gunasekaran is a highly skilled data analyst professional with a proven track record in Data Analytics, Data Storytelling, and Data Visualization. With 8 years of hands-on experience in the field, he has become a trusted expert in harnessing the power of data to drive effective decision-making and business growth. He is also the founder of his own data consultancy firm.

Throughout his career, he has developed a deep understanding of data analytics methodologies, tools, and techniques, enabling others to derive actionable insights from complex datasets. His expertise lies in data collection, cleaning, and transformation, as well as advanced statistical analysis and predictive modeling. I am also well-versed in various Data Management formats and proficient in using industry-leading analytics platforms.

Mr. Gunasekaran has conducted numerous training programs and workshops on data analytics, storytelling and visualization throughout his career. These courses have been widely recognized and utilized by major companies. Helping employees from diverse backgrounds enhance their analytical skills with the essential tools and techniques to make precise data-driven decisions. Clients have consistently praised his ability to simplify complex concepts and make them accessible to individuals at all skill levels who have seen marked improvements in their data-driven decision-making capabilities, operational efficiency, and overall business performance.

Below is a list of clients who have benefited from his training:

1. Sarawak Centre of Performance Excellence (SCOPE).
2. Petronas Nasional Berhad.
3. Prasrana Malaysia Berhad
4. RHB Bank.
5. CELCOM-DIGI.
6. AIR SELANGOR.
7. Tenaga Nasional Berhad.
8. Jabatan Bekalan Air Luar Bandar Sarawak.

Upon successful completion of this program, you will receive a Certificate of Achievement.

1. By Credit card: You can opt to register and pay online with our latest payment integration system through our website.
2. Bank Transfer- You can also opt to bank transfer payment via local / international banks. Please send payment slip as proof of payment.
3. HRD Corp Claimable Courses Skim Bantuan Latihan Khas - Applicable to Malaysian Employer Only

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