Dione Williams

Detailed Data Entry Clerk with experience inputting and organizing data in various software and applications. Extensively trained in transcription, word processing and spreadsheets. Organized individual recognized for transposing large amounts of data with accuracy and speed.

Foundations: Data, Data, Everywhere June 2022 to Present

• Define and explain key concepts involved in data analytics including data, data analysis, and data ecosystem.

• Conduct an analytical thinking self assessment giving specific examples of the application of analytical thinking

• Discuss the role of spreadsheets, query languages, and data visualization tools in data analytics

• Describe the role of a data analyst with specific reference to jobs/position

Technical support fundamentals June 2021 to Present

• Understand how the binary system works

• Assemble a computer from scratch

• Choose and install an operating system on a computer

• Understand what the Internet is, how it works, and the impact it has in the modern world.

• Learn how applications are created and how they work under the hood of a computer.

• Utilize common problem-solving methodologies and soft skills in an Information Technology setting.

Making data driven decisions December 2022 to Present

• Learn about effective questioning techniques that can help guide analysis.

• Gain an understanding of data-driven decision-making and how data analysts present findings.

• Explore a variety of real-world business scenarios to support an understanding of questioning and decision-making.

• Discover how and why spreadsheets are an important tool for data analysts. • Examine the key ideas associated with structured thinking and how they can help analysts better understand problems and develop solutions.

• Learn strategies for managing the expectations of stakeholders while establishing clear communication with a data analytics team to achieve business objectives.

Prepare Data for Exploration December 2022 to Present

• Find out how analysts decide which data to collect for analysis.

• Learn about structured and unstructured data, data types, and data formats.

• Discover how to identify different types of bias in data to help ensure data credibility.

• Explore how analysts use spreadsheets and SQL with databases and data sets. • Examine open data and the relationship between and importance of data ethics and data privacy.

• Gain an understanding of how to access databases and extract, filter, and sort the data they contain.

• Learn the best practices for organizing data and keeping it secure.

Google Data Analytics Professional Certificate October 2023 to Present

• Gain an immersive understanding of the practices and processes used by a junior or associate data analyst in their day-to-day job.

• Learn key analytical skills (data cleaning, analysis, & visualization) and tools (spreadsheets, SQL, R programming, Tableau).

• Understand how to clean and organize data for analysis, and complete analysis and calculations using spreadsheets, SQL and R programming.

• Learn how to visualize and present data findings in dashboards, presentations and commonly used visualization platforms.

ITIL Certification Assessment.