Problem Solving data analytics

Transform Data into Decisions: Problem Solving with Data Analytics for Beginners

Data is the new currency in today’s digital world, and the ability to analyze it effectively is crucial for making informed decisions that drive business success. This course is designed not just to teach you the tools and techniques of data analytics but to transform your thinking about how data can be used to solve problems and innovate within your profession.

Who Should Attend

This course is ideal for:

  • Business professionals across all levels who want to leverage data for better decision-making.
  • Managers and executives seeking a practical, hands-on approach to data analytics.

Learning Objectives

  • Foundational Knowledge: Gain a robust understanding of various data analytics concepts and how they can be applied to problem-solving in your field.
  • Practical Skills: Develop hands-on expertise in using leading analytical tools and software, primarily focusing on Microsoft Excel, to analyze and manage data effectively.
  • Problem-Solving Strategies: Learn to frame key business questions as analyzable problems and utilize data to propose and evaluate solutions.
  • Decision Making: Enhance your decision-making process by integrating advanced analytics that supports and guides strategic and operational decisions.
  • Real-World Applications: Through case studies and practical exercises, see how industries such as finance, healthcare, retail, and more leverage data analytics for competitive advantage.

Course Outline

1.    What is data analytics

  • Understand the importance of data analytics in decision making
  • Learn the different types of data analytics, such as descriptive, diagnostic, predictive, and prescriptive analytics using Gartner’s analytics ascendancy model
  • Understand the tools and technologies used in data analytics

2.    Explore case studies on successful data analytics

  • Understand the impact of data analytics in real-world scenarios
  • Analyze case studies on how organizations have used data analytics to improve their business operations

3.    The data analytics value chain

  • Understand the data analytics value chain and its different stages, such as data collection, data preparation, data analysis, and data visualization
  • Learn the key components of the data analytics value chain, such as data governance, data quality, and data security

4.    Building a sustainable analytics culture in an organization

  • Understand the importance of building a sustainable analytics culture in an organization
  • Learn the principles of building a sustainable analytics culture, such as leadership commitment, skill development, and change management

5.    The 6-Step Framework for data analytics

  • Understand the 6-Step Framework for data analytics
  • Learn how to apply the 6-Step Framework for data analytics to real-world scenarios

6.    Practical data analytics skills using Microsoft Excel

  • Understand the principles of descriptive analytics and predictive analytics
  • Learn how to use Microsoft Excel for data analysis, such as data cleaning, data transformation, and data visualization
  • Apply descriptive analytics and predictive analytics to real-world scenarios using Microsoft Excel

Program Dates

  • 11 & 12 Jun 2024 (Tue & Wed) – Fiji Suva
  • 24 & 25 Jun 2024 (Mon & Tue) – Brunei
  • 17 & 18 Sep 2023 (Tue & Wed) – Jakarta
Problem Solving Data Analytics