Data Analytics: An Introduction

Who Should Attend

This course is designed for professionals aiming to enhance their understanding of data analytics within organizational and decision-making contexts. It is ideal for individuals who need to leverage data-driven insights to improve efficiency, make informed decisions, and address challenges strategically. Participants may include:

• Federal employees seeking to integrate data analytics into their workflows.
• Policy professionals who rely on data to shape recommendations.
• Program and project managers responsible for resource allocation and program design.
• Budget analysts and financial managers who assess cost-effectiveness and ROI.
• Performance measurement specialists focused on monitoring and evaluating programs.
• Senior executives and decision-makers interested in strategic data utilization.

Suggested Prerequisite

Participants should have completed the following or have equivalent experience:

Management and Program Analysis (343 Series): An Introduction

Course Overview

This course will equip participants with foundational skills in analyzing and interpreting data. Spanning six key phases of analytics, this course provides a hands-on exploration of concepts, tools, and methods to transform raw data into actionable insights. Participants will learn to navigate Excel, design analytical frameworks, visualize data effectively, and implement data-driven decision-making strategies.

Agenda Highlights:

1. Analytics Defined
2. Understanding the Analytics Process Model
3. Excel for Analytics
4. Planning and Executing Analytical Projects
5. Analyzing Data and Reporting
6. Capstone Project: Real-World Analytics Challenge

Course Objectives

• Understand the Analytics Process Model: Learn the structured approach for transforming data into actionable insights.
• Utilize Excel for Analytics: Master essential Excel functions, advanced filters, and pivot tables.
• Analyze Data with Key Metrics: Define and apply performance indicators to track organizational progress.
• Visualize Data: Create effective visualizations using tools like Excel, Power BI, and Tableau.
• Implement Quantitative Techniques: Apply methods such as regression analysis and time-series forecasting.
• Communicate Insights Effectively: Develop data storytelling skills to translate insights into impactful recommendations.
• Promote Data-Driven Decision-Making: Align analytical efforts with organizational goals to enhance outcomes.

Capstone Project

Participants will apply course concepts to a real-world scenario, completing a team project with the following deliverables:

• Presentation: Showcase key findings with visualizations and actionable insights.
• Executive Summary: Submit a concise summary outlining the project’s objectives and recommendations.
• Automated Report: Develop a report demonstrating live data tracking capabilities.

Capstone options include scenarios like analyzing improper payments, forecasting market demand, and evaluating workforce attrition.

Outcomes

By the end of this course, participants will:

• Master foundational analytics techniques.
• Enhance their technical proficiency in tools like Excel and Power BI.
• Build confidence in communicating analytical findings.
• Contribute to a data-driven culture within their organizations.