Data Analytics

Master Excel, SQL, and Tableau to jumpstart your data career with 100% remote cohorts available across the U.S. Veterans & VA Benefit Users: To comply with VA regulations, instruction must be completed in-person at our main campus in SeaTac, WA.
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Your Instructor
Swathi Guruduth
Experienced in Project Management and in the manufacturing industry. Highly skilled in Data Analytics and Data Science
Course Overview

Master Excel, SQL, and Tableau to jumpstart your data career with 100% remote cohorts available across the U.S. Veterans & VA Benefit Users: To comply with VA regulations, instruction must be completed in-person at our main campus in SeaTac, WA.

What you’ll learn

Course Objectives

Course Prerequisites

What does this course look like?

  • Career Outcomes: Data Analyst (Entry-Level), Business Analyst, Marketing Analyst
  • Location Accessibility: 100% Remote (Nationwide US) | In-Person (SeaTac, WA)
  • Veteran Eligibility: GI Bill® & VA Benefit Approved (In-Person Only)
  • Core Tech Stack: Advanced Excel, SQL, Tableau, Power BI, Statistics for Data Science
  • Course Duration: 12 Weeks (Accelerated)
  • Credential: Professional Certificate of Completion
  • Who is it for?

    This foundational program is designed for:

    • U.S. Career Changers: Individuals nationwide looking to pivot into data-driven roles with the flexibility of remote, instructor-led sessions.
    • Veterans & Military Spouses: Service members in Washington State seeking a transition into the tech economy via VA-approved, hands-on training at our SeaTac campus.
    • Business Professionals: Managers and analysts who want to enhance their decision-making skills through modern data visualization and query tools.

    Course-Specific FAQ

    Q: Can I take the Intro to Data Analytics course if I live outside of Washington?

    A: Yes! Our Data Analytics course is available 100% remote for students across the United States. You will learn to manipulate data and build dashboards in a live, interactive environment from any state.

    Q: I am a Veteran; can I take this course online using my GI Bill®?

    A: No. To ensure VA compliance and provide the necessary hands-on lab support for technical tools like SQL, all VA-funded programs must be taken in-person at our SeaTac, Washington campus.

    Q: Do I need prior coding experience for this course?

    A: No. This is a beginner-friendly course. We start with the fundamentals of Excel and SQL, making it the perfect entry point for those with no previous technical background.

    Course Syllabus

    Course Program Stages
    Duration:
    Total Hours:
    Week
    Stage
    1
    -
    Intro to Analytics and Excel
    • Focus on Excel as a crucial tool for data analysis
    • Learn the importance and practical uses of Excel
    • Explore workbook creation
    • Understand common Excel functions
    • Study conditional aggregation
    • Discover pivot tables and charts
    • Examine slicers and time slicers
    • Build a strong foundation for the remainder of the course
    Week
    Stage
    2
    -
    Learn Microsoft Excel
    • Learn to apply conditional formatting in Excel
    • Discover how to import data effectively
    • Understand the process of adding to data models
    • Master pivoting using multiple tables
    • Gain expertise in Excel's PowerQuery and PowerPivot
    • Dive into Data Analysis Expressions (DAX)
    • Explore creating measures and KPIs
    • Perform what-if analysis in Excel
    • Get acquainted with the data analysis tool package
    • Participate in cohort quizzes, assignments, and exercises to reinforce learning
    Week
    Stage
    3
    -
    SQL for Data Analysis (Part 1)
    • Understand the anatomy of an SQL query
    • Learn about Common Table Expressions in SQL
    • Explore generating data and creating a Date Dimension
    • Dive into random data generation and sampling techniques
    • Grasp train/test split implementation with SQL
    • Test your knowledge with a Basic SQL for Data Analysis quiz
    • Delve into describing a series in descriptive statistics
    • Discover how to describe a categorical series
    • Assess your understanding with a Descriptive Statistics quiz
    Week
    Stage
    4
    -
    SQL for Data Analysis (Part 2)
    • Master the concept of grouping in SQL
    • Learn about conditional aggregates and subtotals
    • Evaluate your understanding with a Grouping and Subtotals quiz
    • Discover aggregate expressions in SQL
    • Understand window frames and their application
    • Explore accessing next and previous rows in SQL
    • Dive into SQL ranking functions
    • Test your knowledge with a Running and Cumulative Aggregation quiz
    Week
    Stage
    5
    -
    SQL for Data Analysis (Part 3)
    • Learn to compare missing values in Interpolation
    • Explore back filling and forward filling techniques
    • Understand linear interpolation
    • Test your knowledge with an Interpolation quiz
    • Discover the concept of binning in data analysis
    • Learn about equal-height binning
    • Dive into equal-width binning
    • Assess your understanding with a Binning quiz

    View the full program syllabus, click for access!

    Start Date
    September 30, 2026
    End Date
    January 27, 2027
    Enrollment Status
    Open
    Location
    In-person
    Start Date
    September 30, 2026
    End Date
    January 27, 2027
    Enrollment Status
    Open
    Location
    Remote
    Start Date
    End Date
    Enrollment Status
    Open/ Date: TBD
    Location
    Remote

    Cohort Schedule

    Start Date
    End Date
    Enrollment Status
    Location
    September 30, 2026
    January 27, 2027
    Open
    Remote
    September 30, 2026
    January 27, 2027
    Open
    In-person
    Start Date
    September 30, 2026
    End Date
    January 27, 2027
    Enrollment Status
    Open
    Location
    In-person
    Start Date
    September 30, 2026
    End Date
    January 27, 2027
    Enrollment Status
    Open
    Location
    Remote
    Start Date
    End Date
    Enrollment Status
    Open/ Date: TBD
    Location
    Remote

    Cohort Time Schedule

    Mon
    5:00PM - 8:00PM PST
    Tue
    5:00PM - 8:00PM PST
    Wed
    5:00PM - 8:00PM PST
    Thu
    5:00PM - 8:00PM PST
    Fri
    Sat
    9:00AM - 3:00PM PST
    Sun
    Start Date
    September 30, 2026
    End Date
    January 27, 2027
    Enrollment Status
    Open
    Location
    In-person
    Start Date
    September 30, 2026
    End Date
    January 27, 2027
    Enrollment Status
    Open
    Location
    Remote
    Start Date
    End Date
    Enrollment Status
    Open/ Date: TBD
    Location
    Remote

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    Frequently asked questions
    Do I need programming experience for your courses?

    No, a basic level of computer literacy and a motivation to learn is all you need for most of our courses.

    Who should take your courses?

    Our courses are designed for diverse backgrounds; If programming or tech is a career track that you really want to pursue, you may sign-up for our courses whether you are software engineer, product/program manager, analyst, researcher, consultant, student, etc.

    How much time do I need to spend studying outside of the classroom?

    It can vary depending on your unique background. However, it usually takes 18 hours/week outside of the classroom for homework and study time.

    Will I be given a certificate after the completion of the course?

    Yes, you will be given a certificate of completion for any course, after you pass the final exam.