Intro to Data Analytics

Become a Data Analyst with our Intro to Data Analytics

In this Excel, SQL, Power BI and Python course you’ll learn the necessary skills to become a junior data analyst, a job slated to grow 25% between 2019-2029 (BLS).

Data is considered the new gold, and the basis of sound business decisions in every industry.

This 12-week part-time course will teach you how to independently tackle real-world data problems that make up the day-to-day responsibilities of a data scientist.

Complete our free 7-minute application and we’ll determine if this course is the best fit for your experience and career goals.

We now have in-person and online courses in WA state.

2022 Cohorts:

Dates Enrollment status Location
Sept 12- Dec 05, 2022
Closed
Online/Bellevue
Nov 16 - Feb 15, 2023
Closed
Online/Bellevue
Feb. 04 - April 26, 2023
Closed
Online/Bellevue
Start date End date Enrollment status Location
Sept. 12, 2022
Dec 05, 2022
Closed
Online/Bellevue
Nov 16, 2022
Feb 15, 2023
Closed
Online/Bellevue
Feb. 04, 2023
April 26, 2023
Online/Bellevue
May 06, 2023
August 26, 2023
Online/Bellevue

Class Schedule:

Sun
Mon5:00pm – 8:00pm PST
Tue5:00pm – 8:00pm PST
Wed5:00pm – 8:00pm PST
Thu5:00pm – 8:00pm PST
Fri
Sat9:00am – 3:00pm PST

SunMonTueWedThuFriSat
5:00pm – 8:00pm PST5:00pm – 8:00pm PST5:00pm – 8:00pm PST5:00pm – 8:00pm PST 9:00am – 3:00pm PST

Request Intro to Data Analytics syllabus

What will I learn from this course?

This course will teach you how to use data to make informed decisions. You’ll use industry standard tools such as Excel and PowerBI to analyze real-world data sets to create dashboards and visualizations to present your findings. The course will also cover:

  • How to acquire data from multiple sources
  • Data visualization
  • An understanding of data and its quality
  • Using Excel, PowerBI, and SQL to collect, sort, and analyze large data sets
  • How to present data-driven insights with dashboards and graphs
  • Professional development

Need help choosing a career path?

Schedule a consultation

Where is this course taught?

We offer this course online, but if you are in WA state, this course is available both in-person and online.

Who teaches this course?

Kennedy Ganda is currently a Machine Learning & Data Engineer at Amazon Web Services (AWS) in Seattle . He has over 6 years of Professional experience in Deep Learning, Cloud Computing , Data and AI. Kennedy is a Computer Science & Mathematics  graduate from the University of  Washington.  

Alfonso Rojas – Alvarez is a senior data science consultant on data-driven innovation, and a researcher on the intersection between environmental economics and public health outcomes.

How much does this course cost?

One-Time/Upfront Payment

$4,999 subtotal

Upfront Discount: $500 off

$4,999 total

$4,499 total

Monthly Installments

$4,999 subtotal

-$1,000 down payment

4-month plan: $999.75/month

6-month plan: $666.50/month

$4,999 total

Scholarship

Based on eligibility upon application

Deluxe Data Analytics Track

Combine our Intro and Advanced Courses and receive an additional $500 discount!

One-Time/Upfront Payment

$10,548 subtotal

Upfront Discount: $1000 off

Bundle Discount:$500 off

$10,548 value total

$9,048 total

4/6-Month Installments

$10,548 subtotal

Bundle Discount: $500 off

$11,048 value total $10,048 total

-$1,000 down payment

4-month Installments: $2,262/month

6-month Installments: $1,508/month

$10,548 total

Frequently Asked Questions:

Do I need programming experience for this course?

No, but some domain expertise in any field where data forms an important part of the business will help.

Who should take this course?

The course is designed for diverse backgrounds. We will meet you where you’re at, no matter if you’re new to technology, a software engineer, product/program manager, analyst, researcher, consultant or student.

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

This depends on your background. Most students commit 10-15 hours/week outside of the classroom for homework and study time.

What kinds of problems will I be solving in the course?

The business problems for demos, labs, and homework assignments will be taken from a wide variety of industries, and are representative of real-world practical problems.

How can I transition to a career in data science after completing the course?

Our 100% student-recommended internship is the best way to gain experience practicing your new skills. It is guaranteed for Skillspire alumni. 

We walk students through potential career paths in data analytics and data science based on their individual strengths and accomplishments. Our professional development team will help you optimize your resume, connect with hiring companies, and practice whiteboarding and technical interviewing to support your job search. 

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

Yes, you receive a certificate of completion for this course after passing the final exam. It is recommended to display this on your LinkedIn and resume, in addition to your linked portfolio.