IT Certifications

Ready to take your information technology skills to the next level? Wake Tech's IT Power Packs are bundled, low-cost training programs designed to help you earn industry-recognized credentials. Each Power Pack can be completed in about four to six months.

Power Packs aim to prepare you for the next step in your career, whether you are new to the IT field or a mid-career professional looking to level up. And, if you want to take your knowledge even further, the credentials you earn in a Power Pack can count for college credit in a degree program at Wake Tech.

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Course descriptions and registration information

Data Analytics for Business Professionals
Overall Quality of This Course
Based on 11 student surveys.
Available Classes
    Section Location Begin Date End Date Instructor Price Seats Available/Total Seats
277388 Face-to-Face Online Instruction 05/25/2023 11/09/2023 J. Johnson $275.00 0/24
Description Course Outline Requirements Intended Audience More Details
Intended Audience
Individuals who want to expand their knowledge and skills for employment-readiness or those who want to successfully prepare for the relevant industry certification exam(s).
Develop essential data analysis skills that are in high demand by local businesses! With this bundled course, participants will build data literacy and learn how to use business tools, including SQL, Microsoft Excel, Microsoft Power BI, Tableau, and project management - for data analysis and visualization. They will learn how to read, write, and communicate data; understand data sources and constructs; and use various analysis methods to inspect, cleanse, and transform data - to discover insights, suggest conclusions, and support business decision-making. Upon completion, participants will be prepared to take the Microsoft Excel core certification exam.
Course Objectives
  1. SQL:
    • Create normalized databases
    • Explore how to insert data into tables efficiently
    • Use various techniques to retrieve data from multiple tables
  2. Learning Data Analytics:
    • Know basic data analysis terms and concepts
    • Identify data elements
    • Review data processing best practices
  3. Microsoft Excel Fundamentals:
    • Manage worksheets and workbooks
    • Manage data cells and ranges
    • Manage tables and table data
    • Perform operations by using formulas and functions
    • Manage charts
    • Prepare for the certification exam
  4. Excel Data Analysis:
    • Demonstrate basic usage of Excel data analysis techniques
    • Explore external databases, PivotTables, and Pivot Charts
    • Import and export data using external sources
    • Cleanse data
    • Analyze data using PivotTables And PivotCharts
  5. Power BI:
    • Create effective storytelling reports by implementing simple-to-intermediate Power BI features
    • Develop powerful analytical models to extract key insights for changing business needs
    • Build, publish, and share impressive dashboards for your organization
  6. Tableau:
    • Develop data visualizations to explain complex data with clarity
    • Explore Data Model capabilities
    • Connect to various data sources
    • Leverage Tableau Prep Builder's capabilities for data cleaning and structuring
    • Create and use calculations to solve problems and enrich the analytics
    • Enable smart decisions with data clustering, distribution, and forecasting
    • Share data stories to build a culture of trust and action
  7. Communicating with Data:
    • Know the fundamental data skills required to work with data
    • Use data visualization to influence change in your organization
    • Apply data techniques to effectively work with data end to end
    • Communicate data points clearly and persuasively
    • Review why different stakeholders have divergent needs and views
  8. Project Management:
    • Know fundamental project management terms and concepts
    • Review project management methods and best practices
    • Discuss how to clarify complex business issues
Outline of Instruction
  1. SQL:
    1. SQL Basics
    2. Manipulating Data
    3. Normalization
    4. The SELECT Statement
    5. Shaping Data with the WHERE Clause
    6. JOINS
    7. Subqueries, Cases, and Views
    8. SQL Programming
    9. Security
    10. Aggregate Functions
  2. Learning Data Analytics:
    1. Getting Started with Data Analysis
    2. Fundamentals of Data Understanding
    3. Key Elements to Understand when Starting Data Analysis
  3. Microsoft Excel Fundamentals:
    1. Manage Worksheets and Workbooks
    2. Manage Data Cells and Ranges
    3. Manage Tables and Table Data
    4. Perform Operations by Using Formulas and Functions
    5. Manage Charts
    6. Prepare for The Excel Core Certification Exam
  4. Excel Data Analysis:
    1. Learning Basic Data-Analysis Techniques
    2. Working with Data-Analysis Tools
    3. Introducing Excel Tables
    4. Data from External Sources
    5. Cleaning Data
    6. Analyzing Table Data with Functions
    7. Creating and Using PivotTables
    8. Performing PivotTable Calculations
    9. Building PivotCharts
    10. Exam Certification Preparation
  5. Power BI:
    1. Introduction to Business Intelligence and Power BI
    2. Up and Running with Power BI Desktop
    3. Connecting and Shaping Data
    4. Creating Data Models and Calculations
    5. Unlocking Insights
    6. Creating the Final Report
    7. Publishing and Sharing
    8. Using Reports in the Service
    9. Understanding Dashboards, Apps, and Security
    10. Data Gateways and Refreshing Datasets
  6. Tableau:
    1. Taking Off with Tableau
    2. Connecting to Data in Tableau
    3. Moving Beyond Basic Visualizations
    4. Calculations and Parameters
    5. Leveraging Level of Detail Calculations
    6. Diving Deep with Table Calculations
    7. Making Visualizations That Look Great and Work Well
    8. Telling a Data Story with Dashboards
    9. Visual Analytics – Trends, Clustering, Distributions, and Forecasting
  7. Communicating with Data:
    1. Communication
    2. Data
    3. Visualizing Data
    4. Visualizing Data Differently
    5. Visual Elements
    6. Methods of Communicating with Data
    7. Implementation Strategies for Your Workplace
    8. Tailoring Your Work to Specific Departments
  8. Project Management:
    1. Building the Foundation
    2. Developing Project Management Skills
    3. Initiating the Project
    4. Defining the Project Goals
    5. Breaking Down the Project Activities
    6. Planning and Acquiring Resources
    7. Assessing Risk
    8. Developing the Project Plan
    9. Budgeting 101
    10. Executing the Project
    11. Controlling the Project Outcome
    12. Closing the Books
Contact Hours
Industry Standard, State, or National Certification
Website URL
Certification Learning Outcomes/Requirements
  1. Exam MO-200 Microsoft Excel:
    • Manage worksheets and workbooks
    • Manage data cells and ranges
    • Manage tables and table data
    • Perform operations by using formulas and functions
    • Manage charts
CE to CU Articulation
Prior to course enrollment, students should have the ability to demonstrate technological literacy in alignment with the Computer Technology Basics for Digital Literacy course or have equivalent knowledge and skills.
Text and Supplies Needed
Clinical Site/Special Facilities
Requirements for Successful Completion of this Course
  1. Attendance 90% or above
  2. Participation
  3. Demonstrate an understanding of at least 80% of course material taught.
Accreditation/Special Approval Requirements
Intended Audience
Individuals who want to expand their knowledge and skills for employment-readiness or those who want to successfully prepare for the relevant industry certification exam(s).
Specific Industry or Business Support Needs
Data Analyst, Business Analyst, Business Intelligence Analyst, Management Analyst, Systems Analyst
Wake County Need for Industry Positions
According to Burning Glass Technologies, Wake County has a high demand for data analysis skills.
Industry or Job Titles Related to training Outcomes for Employment
  • Data Analyst
  • Business Analyst
  • Business Intelligence Analyst
  • Management Analyst
  • Systems Analyst
Related Courses
  • Computer Technology Basics for Digital Literacy - CIS-3100L2
  • IT Support Technician - CTS-3255A2
  • Software Developer Using Python - CSC-3110EH2
Course Contact Information
Jennifer Simmons-Bage