Certificates

Selected as 1 of 25 out of 700 applicants

18-week Data Analytics Bootcamp in association with the NYC Tech Talent Pipeline

Successfully completed 234 hours of data analytics coursework

Technical skills: Excel, SQL, Python, Tableau, AWS

Define and explain 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/positions

Navigating Excel, editing the worksheet (including inserting/deleting cells, columns, and rows), and cell formatting

Expression entry and common Excel formulas (including logical functions, text functions, and financial functions)

Data management (sorting, filtering, consolidating, removing duplicates, data validation, and one-way lookups)

Data visualization (scatter plots, column charts, pie charts, Slicers, Sparklines, and Pivot Tables)

How Business Statistics is a requirement to make correct and relevant interpretations of data

Understand, calculate and interpret various descriptive or summary measures of data

Measures of association, the covariance and correlation measures; causation versus correlation

Probability and random variables; discrete versus continuous data

Introduction to statistical distributions

Probability density function and area under the curve as a measure of probability