Data Engineering
Data Analytics Training
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Launch Your Career in Tech - No Experience Needed
Get ready to begin your journey in the tech industry with the skills top employers are looking for. In just a few weeks, this immersive, hands-on course will prepare you for high-demand Data Analytics roles by covering:
- Learn About Data Analytics Fundamentals – Gain practical experience in data analysis, mastering tools such as SQL, Excel, and Power BI
- Hands-On Understanding of Data Analytics with SQL
– Proficiency in SQL will enable graduates to process efficiently and wrangle data, while insights into big data processing will prepare them for contemporary data challenges
- Interact with Instructors – The live, instructor-led course format allows for learners and instructors to interact in real time
This course is available to learners within the United States who meet the minimum equipment requirements (view more in the FAQs) and do not live in the states of AL, AK, AR, CO, IL, KS, KY, ND, OK, RI, or WY. It is not offered on a continuous basis.
- Remote
No catch. Training and job connections at no cost to you.
Course level
Suitable for all levels ?
Schedule
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9AM - 4PM
Monday through Friday
14 Weeks -
*Start and end times may vary based on time zone (under 9-4pm) -
LIVE & INSTRUCTOR LED
Upcoming course dates
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November 10th, 2025
Application Due October 27th, 2025
While these courses may include either intermediate or advanced material, technical knowledge specified in these listings will be required as a prerequisite for applicants to be considered for admission.
While anyone may apply for this course, some technical background may be helpful.
Applicants with all levels of experience in tech are encouraged to apply.
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In-person learning takes place at one of our facilities across the US.
Remote learners must live within commutable distance of a Per Scholas campus to best facilitate our professional development and post-training employment support. For individuals who live outside of a commutable distance, you may be eligible for our National training courses.
Hybrid courses allow flexibility for learners to participate in the course remotely or in-person based on several factors. Learn more about the course you're interested in by reaching out to your admissions lead or attending an admissions overview after applying.
Have questions?
We can help with course selection, and answer questions about eligibility requirements and special circumstances. Contact an admissions team member
No Cost Data Analyst Analyst Training
Gain the specific technical skills necessary for Data Analytics openings in your community through live instructor-led training.
No Cost Technical Training in Only 14 Weeks
Learn 2 years of Data Analytics topics such as data analysis, tools such as SQL, Excel, and Power BI in a fraction of the time. Our training is offered at no cost to learners thanks to generous donors and partners.
Professional Development & Growth Opportunities
Before connecting you with employer partners for job opportunities post-training, our Career Coaches prepare you with the tools to secure a role in the tech sector.
Prepare for Real World Data Analytics Scenarios
Apply data analysis skills to real-world scenarios using Power BI to generate actionable insights and support decision-making.
What jobs can I get as a Data Analytics graduate?
As a Data Analytics graduate, you will enhance your fundamentals in data analytics, equipped with the knowledge to fulfill a wide range of technology jobs such as:
- Data Analysts
- Database Administrators
- Business Intelligence Analysts
- ETL Developers
- Data Visualization Specialists
*Remote entry-level roles are difficult to obtain. Regardless of your learning environment, if you do not have more than two years of tech professional experience, be prepared to seek on-premise roles.
*Please note for graduates with less than two years of existing tech professional experience, while you’ll be on the path to your mid-level position, your first role after the training will generally be an entry-level tech support role in order to get the experience needed to advance into beyond entry-level positions.
Career Support
JOB ATTAINMENT PREP
We match Data Analytics graduates to jobs at employer partners with a local career coach dedicated to your success during and after the training.
As I was applying and going through interviews, there was a gap between where my college education brought me and where companies expected me to know things about the technology industry. Per Scholas taught me so much that I wasn’t able to learn in school.
Job Search Prep
Construct a tech professional resume and practice your interviewing skills during mandatory weekly Professional Development sessions.
I used to doubt myself and my abilities. I kept my focus on my training and the image of the person I wanted to become, and I overcame it. Today, I am a full-stack developer and I encourage anyone trying to break into tech to consider Per Scholas
JUMP START YOUR TECH CAREER AS AN DATA ANALYST WHEREVER YOU ARE IN YOUR CAREER
Per Scholas will train you if you are new to tech or looking to advance your existing skills. As an alumni, you also gain access to no-cost continuous upskilling to support your career growth once you're employed.
I worked 12 hours straight nearly every day, weekends included, and missed out on the lives of my friends and family. Per Scholas helped me to discover both a career path and how to have a work-life balance so that I could spend time with my loved ones.
What You'll Learn From Data Analytics Courses
Master critical Data Analytics skillsets
Dive into the different types of Data Analysis, explore the Data Analysis process, master Data Analysis tools and techniques.
Hands-On Understanding of Data Analytics with SQL
Proficiency in SQL will enable graduates to process efficiently and wrangle data, while insights into big data processing will prepare them for contemporary data challenges.
Process Large Scale Data for Analytics and Machine Learning
Identify big data strategies that can support new insights and predictable outcomes for businesses and industries alike.
Personalized Support
Learners can access the Learner Support Team (LST). LST provides personalized support for life challenges, resources, and tools to manage stressors and strengthen financial capability. LST is here to help learners achieve their personal and financial goals.
Learning That Reflects the Workplace
Per Scholas prepares learners for career success by incorporating workplace simulation into every training. This model ensures that learners do not simply acquire technical knowledge—they also practice applying it in team-based environments that reflect the realities of professional work.
Career Advancement for Alumni
Complimentary upskilling opportunities extended to alumni up to two years post graduation to help them match in demand employer hiring profiles and continue their career growth.
Meet Your Instructors
Learn from certified teachers with years of real-world training experience. Our instructors don't just teach you what you need to know, but how to learn it.
Meet Our Graduates
It's huge knowing that I don't just have a beginner skill set. I have a very focused skill set that is highly in demand. Per Scholas gave me the base of my knowledge to go out and be successful.
How to Be Considered
- Meet the Learner Profile Requirements
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You may qualify to become a Per Scholas Data Analytics Learner if you:
- Live in the United States
- Do not live in the states of AL, AK, AR, CO, IL, KS, KY, ND, OK, RI, or WY
- Have basic digital literacy
- Meet the pre-training income policy guidelines
- Can attend classes full-time for the entire duration of the course
- Are aged 18 or older
- Have a High School diploma, equivalent, or higher
- Must meet minimum specs for the course of interest (A tech access form will measure your specs during the assessment phase)
- Regular internet access with Speed of 20/mbps+
- A desktop or laptop with the following:
- Operating Systems:
- Windows 10 / 11 is accepted in all courses
- Mac OS version 10.15-11 is compatible only for our Java and Software Engineering courses
- Hardware Specifications:
- CPU must be at least either:
- Intel i5 quad-core
- Intel i3 is compatible only for our Java and Software Engineering courses
- AMD Ryzen 5 or equivalent
- Intel i5 quad-core
- RAM must be at least 8 GB (for Part-Time and Flexible IT Support) and at least 16 GB (for Data Analytics)
- CPU must be at least either:
- Operating Systems:
- Must be able to provide proof of valid U.S. work authorization
- Can read, write, and speak in English
- Are able to start a full-time job after course completion
- Ready to make an important commitment to building your future
- Do not plan to travel outside the U.S. during the duration of the course (learners cannot participate in program activities or access materials during such travel)
Per Scholas is committed to equal opportunity in admission and employment. It is the policy of Per Scholas to provide equal opportunity for all qualified applicants, learners, and employees and to prohibit discrimination based on race, color, gender, religion, national origin, age, sexual preference, disability, or marital status. Admissions decisions will not be made based on race, color, gender, religion, national origin, age, sexual preference, disability, or marital status.
- Complete the Multi-Step Admissions Process
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1. Submit an Eligibility Form
2. Admissions Overview: Once you submit an Eligibility Form, you’ll be directed to our Admissions Overview registration page. During this virtual webinar, you’ll learn more about our admissions process and next steps.
3. Assessments: Each training requires either an academic assessment, tech assessment, or both. Information will be provided in detail in the Admissions Overview.
4. Interview: Individuals who meet the assessment score requirements will be invited to attend a behavioral interview.
5. Offer Letter and Onboarding: The Admissions team will review assessment scores, completed Tech Prep Work, and interview results, and offer seats to eligible candidates. Learners are required to submit Enrollment Documentation as part of Onboarding.
Please note, this application process is very competitiv,e and not all applicants will be accepted for our limited slots.
- Submit Enrollment Documentation, Including Tech Prep Work Information
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Get a head start on your course at Per Scholas!
- Complete required Tech Prep Work. Learn more about Tech Prep Work here
- Submit required Enrollment Documentation through our secure portal. Learn more at perscholas.org/enrollment-dvp-checklist
Required Data Analytics Tech Prep Work
To begin with the pre-work, learners should follow the instructions on NetAcad Pre-Work Course Enrollment and Badge Acquisition
Courses:
- Introduction to Data Science Course (6 hours)
Submission Portal:
Help Resources:
- Instructions for Completing and Submitting Tech Prep Work
- Email admissionsadmins@perscholas.org if you need any help troubleshooting
Frequently Asked Questions
- What are the minimum equipment requirements for this course?
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In order for National Remote learners to be able to adequately access all course materials, learners’ devices must minimally meet the below specifications. Due to limited National inventory for our National Remote Training Courses, applicants must have uninterrupted access to tech equipment that meets the minimum:
- Regular internet access with Speed of 20/mbps+
- A desktop or laptop with the following:
- Operating Systems:
- Windows 10 / 11 is accepted in all courses
- Mac OS version 10.15-11 is compatible only for our Java and Software Engineering courses
- Hardware Specifications:
- CPU must be at least either:
- Intel i5 quad-core
- Intel i3 is compatible only for our Java and Software Engineering courses
- AMD Ryzen 5 or equivalent
- Intel i5 quad-core
- RAM must be at least 16 GB
- CPU must be at least either:
- Operating Systems:
- What kinds of jobs can I get after completing this training?
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This course opens doors to careers in Data Analytics. Some possible jobs may include: Data Analysts, Database Administrators, Business Intelligence Analysts, ETL Developers, and Data Visualization Specialists.
- How can the Data Analyst course be offered at no cost? Are there hidden fees?
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Most people who learn about us think: “Too good to be true.” We know it seems that way, but it’s true. Our services are provided at no cost to you, using funds we raise from foundations, corporations, government and generous individuals.
The costs you can prepare for include transportation or childcare—expenses that take care of you so you can focus on your studies.
- Is there a learner pre-training income policy?
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Yes, Per Scholas learners must meet the pre-training income policy requirements. View our Learner Pre-Training Income Policy here.
- I receive unemployment insurance benefits or other benefits that require me to spend time working or looking for work. Can I still enroll?
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Depending on the campus and course, Per Scholas training is approved for people receiving unemployment, as well as other benefits that would ordinarily require them to spend time working or looking for work. If you have questions or concerns about your situation, please contact admissions.
- Does Per Scholas use AI in its courses?
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By the end of 2025, every learner will complete a standardized AI module covering key concepts, prompting, and real-world applications.
- I meet other requirements, but I am not a U.S. citizen and haven’t received my work authorization yet. Can I still apply?
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Unfortunately, we cannot process your application until you have received clearance to work in the U.S. However, if you are experiencing problems, we may be able to refer you to other organizations that may be able to help.
- I have a disability. Can you accommodate me?
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We comply fully with the Americans with Disabilities Act and other relevant laws and regulations. Please contact accommodations@perscholas.org to discuss your specific situation and needs.
- Does Per Scholas have a Non-Discrimination policy?
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We’re proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity or national origin. See our full EEO statement here.