In today's business landscape, technology and the data it generates are integral to success across industries. The rise of "big data," fueled by advancements in cloud computing, has empowered organizations with vast computational resources and storage capabilities to capture, store and analyze enormous datasets. Leveraging these capabilities effectively is critical for gaining actionable insights, identifying opportunities and maintaining a competitive edge.

This course provides a comprehensive journey into the world of data analytics and visualization. You will develop the skills to analyze complex datasets, uncover trends and communicate findings through impactful visualizations. By employing both proprietary and open-source analytics tools, you'll connect to diverse data sources, perform advanced analysis and produce professional visualizations that drive informed decision-making.

Learn how to approach complex business problems through structured statistical analysis and solve key challenges, such as identifying the best data sources, managing databases effectively, selecting the right analytics tools and presenting data in formats that resonate with stakeholders. You will also explore how to translate insights into actionable strategies that empower leadership and enhance organizational performance.

Elevate your ability to transform raw data into actionable insights, helping your organization stay ahead in an increasingly data-driven world.

This course is tailored for:

• Analysts seeking to enhance their expertise in statistical analysis, visualization and data storytelling.
• Managers aiming to understand how data analytics and visualization can inform strategy and decision-making.
• Professionals curious about demonstrations of leading software solutions, including both proprietary tools and open-source platforms.

What you will learn:

• Foundational and advanced data analytics techniques
• Creating compelling data visualizations
• Employing business intelligence to enhance decision-making
• Implementing data-driven strategies for organizational impact
• Exploring statistical software applications:
  • Proprietary Tools:
    • Minitab
    • Tableau
    • Microsoft Excel
  • Open-Source/Freeware:
    • RStudio
    • Google Data Studio
    • Google Sheets

Earn 2.1 Continuing Education Units (CEUs).