Data Analytics Group Training

Build a strong foundation in data analytics by working with Excel, SQL, and Python to analyze and visualize data. You'll gain hands-on experience with tools like Tableau, and develop the skills needed to manipulate data and present insights effectively.

Learn how to use AI tools to clean, analyze, visualize, and report on data while applying validation, traceability, and critical evaluation to real-world analytics work. 

This package builds foundational and intermediate data analysis skills that help professionals transform raw data into meaningful insights for decision making. Participants learn how to understand data structures, assess data quality, use Excel analytical tools, interpret statistical results, and apply responsible data practices across organizational environments.

Gain practical skills in analyzing datasets, building predictive models, and creating AI-powered applications using Python and industry-leading tools.

Learn to transform data into compelling narratives and visuals that enhance understanding and drive decision-making.

Become proficient in Microsoft Excel and go from beginner to pro with this hands-on bootcamp. Learn functions, Pivot Tables, macros, and time-saving techniques to conquer all the key skills needed to excel in Excel.

Learn how to use Tableau, a powerful data visualization tool, to create interactive and aesthetically pleasing charts, graphs, and maps. This bootcamp will teach you how to connect to datasets, analyze and structure data, and publish your work.

Learn how to use Power BI, a powerful data visualization tool, to create interactive and aesthetically pleasing charts, graphs, and maps. Learn how to connect to datasets, analyze and structure data, customize visualizations, and publish reports.

Explore the role of management analysts and gain foundational skills in data analysis, problem-solving, and presenting findings effectively.

Learn practical techniques to collect reliable primary data through observations, interviews, and surveys.

Gain foundational statistical skills using measures such as averages, proportions, and variability to interpret data effectively.

Develop the ability to draw valid conclusions and make predictions from sample data using inferential statistical methods.

Learn structured analytical methods for decision-making, problem-solving, process modeling, and performance measurement in the federal workplace.

Learn how to design structured, decision-informed research studies that guide effective program and policy analysis.

Learn the fundamentals of cost-benefit analysis to evaluate projects, make informed decisions, and present actionable recommendations.

Learn to evaluate federal programs using systematic tools to describe purpose, collect data, and analyze effectiveness.

Put your analytical skills to the test by designing and presenting a full study plan grounded in data analysis and strategic recommendations.

This self-study course includes the DSBIZ eLearning, assessment, and credential. The ability to identify and respond to changing trends is a hallmark of a successful business. Whether those trends are related to customers and sales, or regulatory and industry standards, businesses are wise to keep track of the variables that can affect the bottom line. In today's business landscape, data comes from numerous sources and in diverse forms.

Learn foundational data concepts and explore Microsoft Azure data services, including databases, analytics, and visualization tools. Prepare for the Azure Data Fundamentals (DP-900) certification exam.

Master the skills to analyze, model, and visualize data using Microsoft Power BI for impactful business insights.

Explore the end-to-end process of business analysis, including planning, requirements elicitation, and solution validation.