Data Analytics: Turn Data Into Insights

Build practical data analytics skills using Excel, SQL, Python, Tableau, statistics, and data visualization. You'll learn how to collect, clean, analyze, and interpret data while working with real-world datasets and developing the technical skills used in modern data analytics. Through hands-on exercises and projects, you'll learn how to identify patterns and trends, create meaningful visualizations, and turn raw data into clear, actionable insights. You'll also practice communicating your findings so they can support better business and organizational decisions.
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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

Build practical data analytics skills using Excel, SQL, Python, Tableau, statistics, and data visualization. You'll learn how to collect, clean, analyze, and interpret data while working with real-world datasets and developing the technical skills used in modern data analytics. Through hands-on exercises and projects, you'll learn how to identify patterns and trends, create meaningful visualizations, and turn raw data into clear, actionable insights. You'll also practice communicating your findings so they can support better business and organizational decisions.

What you’ll learn

Build practical data analytics skills from data preparation to analysis and visualization. You'll work with Excel, SQL, Python, Tableau, statistics, and data visualization while learning how to clean datasets, query and analyze data, identify trends, and present findings clearly.

Through hands-on exercises and projects, you'll learn how to work with real-world datasets and turn raw data into useful insights. You'll also develop the skills to create reports and visualizations that communicate your findings and support data-driven decisions.

Course Objectives

Course Prerequisites

What does this course look like?

Skillspire's 20-week Intro to Data Analytics Bootcamp is an instructor-led program combining live classes, hands-on exercises, labs, projects, and practical data analysis. The curriculum takes you from data analytics fundamentals to working with datasets, analyzing information, and presenting data-driven insights.

Choose 100% remote learning from anywhere in the U.S. or attend classes in person at our SeaTac, Washington campus. Veterans using VA education benefits are required to attend the in-person program at SeaTac.‍‍

Who is it for?

This bootcamp is designed for beginners, career changers, and professionals who want to build practical data analytics skills. No advanced programming or data analytics experience is required—the curriculum builds your skills step by step.

It's also a good fit for students interested in careers such as data analyst, business analyst, reporting analyst, or other data-focused roles, as well as professionals who want to add data skills to their existing careers.

Veterans and military spouses in Washington State may be eligible to use GI Bill® benefits or other VA education funding for the in-person program at Skillspire's SeaTac campus. The Washington Worker Retraining Program (WRT) may also provide funding for eligible students.

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.