Intro to Data Analytics
In this Intro to Data Analytics course, learn Excel, SQL programming, Power BI to become a junior data analyst, the fastest growing job in the tech world. Data is considered as new gold, and data scientists are the new gold miners. Learn the skills you need for this hottest job of our time. This 12-week hands-on course will take you on an end-to-end journey in data science career.
Ready to reinvent yourself and become a data scientist? Please fill out an application so that we can learn more about you and determine if this course is the best fit for you and your goals. As soon as we receive your application, we’ll be in contact. Get started.
When is this course offered?
| Dates | Enrollment status | Campus | Schedule |
|---|---|---|---|
Apr 20, 2021 - Jul 6, 2021 | Closed | Online | Tuesdays 6:00pm - 9:00pm PST |
Jul 26, 2021 - Oct 18, 2021 | Online | Tuesdays 6:00pm - 9:00pm PST | |
Sep 28, 2021 - Dec 14, 2021 | Online | Tuesdays 6:00pm - 9:00pm PST | |
Oct 19, 2021 - Jan 15, 2022 | Online | Tuesdays 6:00pm - 9:00pm PST |
| Start date | End date | Enrollment status | Campus | Schedule |
|---|---|---|---|---|
Apr 20, 2021 | Jul 6, 2021 | Closed | Online | Tuesdays 6:00pm - 9:00pm PST |
Jul 26, 2021 | Oct 18, 2021 | Online | Tuesdays 6:00pm - 9:00pm PST | |
Sep 28, 2021 | Dec 14, 2021 | Online | Tuesdays 6:00pm - 9:00pm PST | |
Oct 19, 2021 | Jan 15, 2022 | Online | Tuesdays 6:00pm - 9:00pm 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
Who teaches this course?
Ruby Vohra is a software engineer at T-Mobile. She has been an instructor with Skillspire since 2020.
Where is this course taught?
In order to comply with guidelines outlined by the CDC surrounding COVID-19, all courses will be restricted to an online format until further notice. We look forward to seeing you in person soon!
How much does this course cost?
Our Intro to Data Analytics course costs $2,999. We offer scholarships to students on an eligibility basis. Upon applying, you will be under consideration for a scholarship.
Frequently asked questions
Do I need programming experience for this course?
While knowledge of programming is helpful, it is not mandatory for this course. We will the cover the basics with data structures and algorithms.
Who should take this course?
The course is designed for diverse backgrounds; If this is a field you really want to learn, you can sign-up for the course 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.
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?
This course is jam packed with topics starting from basic to advanced data science topics and follows the Gartner Maturity Model for Analytics. We will show you some potential paths to a career in data analytics or data science based on your personal abilities and accomplishments. We will also offer professional development resources to help you in your job search.
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.
