Business Intelligence and Analytics

博彩平台推荐(Tiffin University)的商业智能和分析项目让学生能够展示数据分析和编程技能，并运用他们对收集数据的解读来帮助企业了解趋势, solve business problems and measure performance. Through this data, 学生将能够评估公司的需求，并创建报告和视觉演示，以帮助公司决策者评估可能的改进领域, expansion or upgrades – across many industries, including healthcare, manufacturing, technology, finance and engineering.

Business intelligence and analytics is a high-growth field. Advancing technology, 增加可访问性和提高收益是推动商业智能市场增长的一些主要因素, accentuating the need for business intelligence analysts. 在不久的将来，数据安全将成为商业智能用户和提供商的主要关注点，数据科学家可能会经历角色转变，但对商业智能行业的运营仍然至关重要.

博彩平台推荐的BIA项目为学生提供了直接适用于该领域的知识和技能. 

Business skills include: 

• 优秀的沟通和演讲技巧，能够以平易近人的方式与同事分享基于高技术数据的建议, easily digestible way.
• Superior leadership abilities to brainstorm and collaborate with team members.
• Creative problem-solving skills and critical thinking.
• 能够在以客户满意度为导向的多元化全球员工团队中工作.
• Gain skills in making data-informed decisions by evaluating different options, considering risks and benefits and understanding the impact on business outcomes.
• Acquire a deep understanding of business principles, including finance, marketing, operations and supply chain management.
• Learn the fundamentals of project management to effectively plan, execute and monitor data analytics projects. Develop skills in setting goals, managing resources and meeting project deadlines.
• 了解数据分析的道德含义，确保负责任和道德地使用数据. Learn about privacy regulations, data governance, and best practices for handling sensitive information.

Technical skills include: 

• Database design and data architecture 
• Data mining and analytics  
• Machine learning
• 熟练掌握数据分析中常用的编程语言，如Python和R 
• Data security and privacy  
• Data visualization, including tools such as Tableau and Qlik 
• Handle all variants of Structured Query Language (SQL) 
• Proficient in ETL (extract, transform, load) 
• Understand which situations need Hadoop, R and SAS – and use these effectively  
• Cloud computing and data storage technology (Google’s BigQuery and Amazon’s Redshift) 
• Big data technologies

TU的商业智能和分析项目还将帮助学生通过最重要的认证，这些认证可以帮助他们开始或推进商业智能分析师的职业生涯，包括:

• Certified Analytics Professional (CAP)
• PMI Professional in Business Analytics (PBA)
• IIBA Certification in Business Data Analytics (CBDA)
• IIBA Certified Business Analysis Professional (CBAP)
• IIBA Certification of Competency in Business Analysis (CCBA)
• Certified Business Intelligence Professional (CBIP)
• Microsoft Certified: Azure Data Engineer Associate
• Tableau Desktop Specialist/Associate
• Qlik Sense Business Analyst Certification
• Oracle Business Intelligence Certification
• SAS Certified BI Content Developer for SAS 9
• IBM Certified Designer: IBM Cognos Analytics Author V11

Our students have hands-on experience with business intelligence and analytics, through real-world projects, internships and collaborations with industry-leading organizations. This includes:

• Case studies
• Data analytics projects
• Industry collaborations
• Data visualization workshops
• Data hackathons
• Guest speakers and industry talks
• Data exploration and visualization labs
• Participate in business intelligence and analytics simulations 
• Team projects
• Internships and industry placements

Courses & Format

Business Core:

• ACC 210 Financial Accounting 
• ECO 222 Principles of Microeconomics 
• FIN 301 Business Finance 
• LAW 211 Business Law I 
• MKT 151 Introductory Marketing 
• MGT 201 Principles of Management 
• MGT 495 Organizational Strategy 
• MGT 221 Supply Chain Management 
• MKT 370 Digital Marketing 
• MKT 432 Social Media Marketing

Business Intelligence and Analytics Core

• CST 285 Spreadsheet Applications & Data Analysis for Decision Making 
• CST 312 Information Systems for Managers 
• BIA 273 Applied Business Statistics
• MAT 287 Discrete Mathematics 
• BIA 290 Introduction to Artificial Intelligence 
• BIA 300 Data Analysis and Business Modeling
• BIA 299 Data Mining for Decision Making
• BIA 305 Business Analytics 
• BIA 420 Big Data Analytics in Business 
• CST 201 Introduction to Programming 
• CST 301 Advanced Programming Concepts
• CST 280 Database 
• CST 380 Database II 
• BIA 400 Machine learning for Business Modeling 
• BIA 410 Data Visualization for BI
• CST 412 IT Project Management 
• BIA 460 Capstone Project 
• BIA 470 Internship

This is a sample course sequence to illustrate course offerings for this major. 有关详细的注册和咨询信息，请咨询官方学术公报.

SAMPLE COURSES

BIA 273 Applied Business Statistics -本课程向学生介绍在商业相关应用中使用的描述性和推断性统计. Measures of central tendency and dispersion, simple probability, data analysis, and statistical inference are examined. The use of computer software for analyzing statistical data is addressed.

BIA 300 Data Analysis and Business Modeling – This course is designed to introduce the concept of business analytics. Analytics helps businesses make better decisions by using sound judgment and data. This is a skill development class that explores how statistics are used in business. 本课程培养学生在组织内各种角色中使用的专业技能.

BIA 299 Business Analytics -本课程考察了在以前的商业智能专业课程中学习过的方法，以及那些从商业核心被证明在从应用角度识别模式和做出预测方面具有价值的方法. Course learning involves utilizing a 帮助各种软件在回顾分析案例时提高理解 enterprise-level analytics. Students build a data warehouse, using data profiling and qualityskills, and lifecycle models introduced in the course.

BIA 400 Machine Learning for Business Modeling – This course covers the Machine Learning process in Python, reinforcing concepts from Python fundamentals. Students will learn how to create predictive classification models for business, fine-tune and test the process, and how to interpret the results.

FORMAT

On Campus – Offered in a 15-week semester format with start dates of January and August

In the last few years, Business Intelligence and Analytics has become a highly in-demand job across the globe. In the United States, 商业智能和数据分析师的薪水明显高于其他与软件相关的职业.

According to the United States Bureau of Labor Statistics, 从2021年到2031年，商业智能分析师的就业市场预计将增长11%. 该机构还指出，2021年商业情报分析师的年薪中位数为9.3万美元. From 2020 to 2030, the U.S. Bureau of Labor Statistics projects an increase of 14% for business analyst positions, with 907,600 net new jobs expected during that 10-year period.

CAREERs

• Accessibility Specialist
• Business Intelligence Analyst
• Business Intelligence Data Modeler
• Business Intelligence Developer
• Business Intelligence Project Manager
• Business Intelligence Specialist
• Business Performance Analyst 
• Data analyst- Business Intelligence
• Data Engineer
• Data Governance Specialist
• Data Scientist 
• Data Visualization Specialist
• E-commerce Specialist
• Information Management Program Manager
• Software Consultant
• SQL Server Business Intelligence