Data Analytics Major
Explore analytics job titles, certifications, and professional development opportunities. Build data-driven decision-making skills for the business world.
What is Data Analytics?
Transform data into actionable business insights
Data Analytics Defined
The collection, organization, and visualization of data to make conclusions about strategic business decisions.
How Can I Become a Data Analyst?
The College of Business Administration offers a concentration in Fintech and Data Analytics. This concentration requires Scripting, Analytics 3, Data Mining, Analytics, and an Upper Level Finance class. There are also multiple post-graduate degree programs at ACU and elsewhere to further your analytics education.
Build technical skills in SQL, Python, R, Tableau, and Excel while developing business acumen to translate data insights into strategic decisions. Our program prepares you for high-demand roles in business intelligence, financial analysis, and data science.
Data Analytics Career Paths
Discover high-demand roles in the data-driven business world
Financial Analyst
Purpose:Review data to generate finance and market reports. Make recommendations for business growth in complex global economy. Highlight trends and patterns impacting business strategies.
Skills:Recommended degree in statistics, computer science, business administration, or related field. Understand data mining, analysis, processing, and visualization. Utilizes marketing and predictive analytics.
Business Intelligence Analyst
Purpose:Generate financial statements that accurately reflect businesses' position. Work in banking, advising, insurance companies, and pension funds. Assess quality of receivable accounts, payable accounts, investments, and spending.
Skills:Must communicate complex financial concepts to encourage informed business decisions. Utilize visualization software to inform stakeholders on investments, spending, performance, and bonds.
Credit Analyst
Purpose:Evaluate financial reliability of individuals or companies. Collect financial details from clients including income and previous repayment records to gauge capacity to meet financial commitments.
Skills:Focus on capacity, collateral, covenants, and character. Requires bachelor's degree in finance, accounting, or related field. Extensive knowledge of financial analysis and credit risk assessment.
Marketing Analyst
Purpose:Perform complex tasks to help companies gauge competitive positions. Understand consumers' wants and needs and reflect trends in business practices. Advise companies on how to best position themselves in the market.
Skills:Recommended degrees in statistics, mathematics, marketing, or social sciences. Proficient with Microsoft Excel, Access, and PowerPoint. Knowledge of analytical software including SAS, SPSS, and Google Analytics.
Data Visualization Analyst
Purpose:Create visual representations of data intended for data professionals and organizational leaders. Convey extensive information, especially big data, in formats that are comprehensible and valuable for spotting patterns and irregularities.
Skills:Proficiency in data visualization tools like Tableau, Power BI. Essential technical skills including Excel, programming languages like R or Python, statistical knowledge, and proficiency in SQL.
Fraud Analyst
Purpose:Hold pivotal position in protecting organizations against financial losses from fraudulent activities. Duties encompass identification and examination of suspicious transactions, scrutiny of data to identify fraud patterns, and creates strategies to prevent fraud.
Skills:Strong analytical abilities, pattern recognition, data mining expertise. Technical skills including Excel, Python or R, statistical analysis, and SQL proficiency.
Real Estate Analyst
Purpose:Analyze real estate market trends, property values, and investment opportunities. Provide data-driven insights for real estate investment decisions.
Skills:Strong analytical abilities, financial modeling, market research skills, and proficiency in data analysis tools and software.
Risk Analyst
Purpose:Assess company's investment portfolios and evaluate risk associated with decisions related to those investments. Employ analytical abilities to anticipate potential losses and provide suggestions for decreasing risk by diversification, currency exchanges, and various investment tactics.
Skills:Strong analytical abilities for data evaluation, pattern recognition, and risk assessment. Solid grasp of financial concepts such as risk management, portfolio analysis, and financial modeling. Proficiency in mathematical and statistical methods.
Data Analytics Certifications
Build your technical skills with industry-recognized credentials
SQL for Data Analysis
Structured Query Language (SQL) is a programming language for data reconfiguration. Learn to manage and rearrange data with various functions. Free for ACU students through LinkedIn Learning.
Get Certified →Excel: Pivot Tables & Reports
Pivot tables are essential in Microsoft Excel for generating reports and summaries instantly. Create mini databases from pivot tables. Free for ACU students through LinkedIn Learning.
Get Certified →Google Data Analytics
Introduction to R programming, Python, SQL, and Tableau. Learn to clean, organize, and present data. Great overview of skills data analysts use day-to-day.
Get Certified →Microsoft Power BI Associate
Power BI is part of the Microsoft Power platform. Visualize data and track key performance indicators to help make strategic business decisions.
Get Certified →Tableau Business Intelligence
Tableau is a business intelligence software that focuses on data visualization. Features live connections to other data sources like SQL.
Get Certified →Visit ACU's Career Development Center for Labor Market Insights! Enter a job title into the search bar and it will generate core responsibilities, top companies to work for, average salaries, technical skills, and more. Explore Labor Market Insights →
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