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Intro to Data Analytics/Science

The "Intro to Data Analytics" course is a 12-week program that provides a comprehensive introduction to the field of data analytics. You will learn how to use industry standard tools such as Excel, Power BI, SQL, and Python to collect, sort, analyze, and visualize data. The course covers data visualization, data quality, and professional development, including job preparation and resume building. By the end of the course, you will have a solid understanding of the data analytics process and the skills to tackle real-world data problems. Whether you're looking to start a career in data analytics or add valuable data skills to your current role, this course is designed to help you achieve your goals.
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Your Instructor
Judd Valente
is an experienced IT professional with a strong focus on Data Science and Data Analytics. With a wealth of experience in Business Intelligence, Data Architecture, and Solutions Development, Judd has honed his skills to deliver innovative solutions to complex challenges.
Course Overview

Intro to Data Analytics" is a 12-week, part-time course that teaches you the skills to become a junior data analyst. You'll learn how to use Excel, Power BI, SQL, and Python to analyze data, understand data quality, and create data visualizations. The course also focuses on professional development and job preparation, including resume building and interview techniques. By the end of the course, you'll have a solid understanding of the data analytics process and the ability to tackle real-world data problems.

What you’ll learn

"Intro to Data Analytics" teaches skills in data analysis using tools like Excel, Power BI, SQL, and Python, data visualization, and professional development. You'll learn SQL basics and Python programming for data analysis and visualization, and gain insights on building a strong resume and job interviews. By course end, you'll be equipped to handle real-world data problems and pursue a career in data analytics or add data skills to your current role.

What does this course look like?

The course includes 2-3 hour classroom sessions, hands-on practice with Excel, Power BI, SQL, and Python, quizzes and exercises to reinforce skills, and a final project where you apply all learned skills. The goal is to provide a comprehensive understanding of data analytics for real-world problem-solving, whether starting a career or adding skills to your current role.

Who is it for?

  • "Intro to Data Analytics" course is suitable for beginners, professionals, career changers, and anyone interested in data.
  • The course provides a comprehensive introduction to data analysis and the tools used by industry professionals.
  • Professionals can add valuable data analysis skills to their current role and increase their marketability.
  • Career changers can gain the foundation needed to succeed in the field.
  • The course is designed for individuals of all skill levels and backgrounds.
  • Committed learners who want to apply what they learn can achieve their goals.

Course Syllabus

Week 1
Introduction to Data Analytics and Excel
  • Overview of data analytics and its importance in the business world
  • Introduction to Microsoft Excel and basic data analysis functions
  • Hands-on practice with data analysis and visualization in Excel
  • Quiz: Basic Excel functions and data analysis
  • Exercise: Analyze a small data set and create a visualization in Excel
Week 2
Data Visualization
  • Overview of data visualization and its importance in data analysis
  • Introduction to different types of visualizations and when to use them
  • Hands-on practice with creating different types of visualizations in Excel
  • Quiz: Types of visualizations and when to use them
  • Exercise: Create multiple visualizations for a given data set in Excel
Week 3
Data Quality and Cleaning
  • Understanding the importance of data quality in data analysis
  • Techniques for cleaning and preparing data for analysis
  • Hands-on practice with data cleaning and preparation in Excel
  • Quiz: Data quality and cleaning techniques
  • Exercise: Clean and prepare a data set for analysis in Excel

View the full program syllabus, click for access!

Cohort Schedule

Start Date
End Date
Enrollment Status
Location
May 8, 2023
August 7, 2023
Open
Online
February 4, 2023
April 26, 2023
Closed
Online
November 16, 2022
February 15, 2023
Closed
Online/Bellevue
September 12, 2022
December 5, 2022
Closed
Online/Bellevue
Start Date
May 8, 2023
End Date
August 7, 2023
Enrollment Status
Open
Location
Online
Start Date
February 4, 2023
End Date
April 26, 2023
Enrollment Status
Closed
Location
Online
Start Date
November 16, 2022
End Date
February 15, 2023
Enrollment Status
Closed
Location
Online/Bellevue
Start Date
September 12, 2022
End Date
December 5, 2022
Enrollment Status
Closed
Location
Online/Bellevue

Cohort Time Schedule

Mon
5:00pm – 8:00pm PST (Lecture/Lab)
Tue
5:00pm – 8:00pm PST (Lab)
Wed
5:00pm – 8:00pm PST (Lecture/Lab)
Thu
5:00pm – 8:00pm PST (Lab)
Fri
Sat
9:00am – 3:00pm PST (Lecture/Lab)
Sun

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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?

The course is designed for diverse backgrounds; If programming or tech is a career track you really want to pursue, you can 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 1-15 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 this course after you pass your final exam.

Do you accept GI Bill®?

Yes, please refer to our Veterans page for more details.

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