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Apply today for tuition coverage for this Data Analytics Training opportunity

2024 Tuition-Covered Data Analytics Training

Virtually all enterprises have now reached “data overload” and need Data Analysts to help them make sense of the massive amounts of data so that management can make better and faster decisions. Knowledge of data and how to work with it is vital in many industries and across research fields. If you’re interested in learning these skills to become proficient working with data, this program is for you.

This opportunity is unique because it provides skills that can be applied to a range of disciplines, including computer science, ecology and the environment, social sciences, and more!

If accepted, this program provides tuition coverage for students interested in data analytics training and provides internship opportunities with NSHE faculty research mentors. Students of this program will complete one package option for Data Analytics skills training hosted by Truckee Meadows Community College (TMCC) virtually in partnership with NCLab.

Applications for this independent, self-paced training are now open, so apply today. The deadline to apply for this program is March 22, 2024. While completing this program from June 3rd to October 11th, students will develop the preliminary technical and analytical skills necessary to work with data in a research setting.

Successful applicants will receive tuition coverage for this training. There are three options for course package focus areas: Data Literacy (Spreadsheets and Dashboards), Combined Python and SQL, and Python Intensive. More details on the content of each option are listed below, as well as a description of the application and competitive selection process.

Students who complete the data analytics training program will have the opportunity to apply for a funded research internship with HDRFS faculty mentors across all NSHE institutions. Interns who are selected will be supported with a $4,000 scholarship for a four-month, 20-hour per week commitment.

Students currently enrolled in any NSHE institution are eligible to apply. Interested applicants must be enrolled in their respective undergraduate programs through spring 2025.

Our training utilizes a proprietary Artificial Intelligence-based teaching platform that delivers students bite-sized knowledge followed by mini projects that confirm their ability to use the new knowledge. Those mini projects number in the hundreds, during which the platform learns students’ strengths in real-time and supports them with contextual help, hints, and templates, as needed. These mini projects, in turn, provide students with the skills that employers want them to have, the confidence to make use of those skills, and a feeling of accomplishment as they progress through their training.

There are two stages to the application process: Application and Screening.

Application Phase (Deadline: March 22, 2024)
Submit a written application, which requires the following documents:
– A one-page personal statement detailing the applicant’s interests & future goals,
– Curriculum vitae (CV) or resume,
– Unofficial transcripts from any/all college-level institutions attended,
– 1-2 hour NCLab Career Readiness Assessment on the NCLab training platform.

Screening Phase
As part of the application, students participate in the NCLab screening process which includes a 30-minute phone call to review student results from the Career Readiness Assessment and answer any questions. The application is not considered complete until the student has had this phone call with the NCLab team.

There are three packages available for the 2024 program. Students may self-select the package of their choice, or receive a recommendation from the NCLab team based on their unique career goals. The packages available this year and their descriptions are below. Please note that the Python training package has two tracks: one for those that have prior programming experience (as assessed by NCLab), and one for those who are new to programming or have significant knowledge gaps.

Learn more about each of the packages available:


What are the benefits of the Data Analytics Training program?

  • Self-paced, online learning environment offers unique pacing and hands-on learning, and flexes to work alongside class and work schedules
  • Learn in-demand skills necessary for working with data in any field
  • High job potential in the future by learning skills needed for data analyst roles
  • Gain the practical experience that well over 95% of job openings require
  • NSHE students can complete the training remotely, from wherever they are based across the state. Research internships may require in-person involvement, depending on the topic.

Who is the ideal candidate for this program?

Characteristics of an ideal candidate include someone who enjoys finding patterns and creating systems to organize information. Students should be interested in working with data and motivated to learn and apply new skills.

How many hours a week should I expect to spend on the training?

All three package options have approximately the same number of estimated hours. Each person will complete the program at a different speed, as the program is self-paced. However, it is generally expected that students will study at least 10 hours per week. Small amounts of study every day is encouraged, and planning ahead by studying additional hours during weeks with fewer commitments is highly desired. Completing the program early can allow students more time to put together materials for applications to internships, jobs, or other opportunities. We recommend dedicating 15-20 hours per week in summer, given the demands of fall semester coursework.

Will I earn a certificate?

Yes, all students will receive one certificate for each course in the training package that they complete, as well as a certificate at the end of the program. These can be shared on various platforms or added to a resume. The Data Literacy package additionally leads to the CompTIA Data+ certificate, if desired.

What do I need to do to pass this course?

Students should be prepared to spend on average 10+ hours a week studying, as 100% completion of the coursework is the only way to pass this course, including practice assignments, graded tasks, quizzes, and projects. The coursework must be finished during the time allotted for the program, so planning ahead is vital.

Where does the program take place?

This program is completely online. Students enrolled in any NSHE institution can complete this course. Research Internships may require in-person involvement.

Are there any prerequisites for this program?

There are no prerequisites for this program but students should be able to show that they can learn new things and apply what they learn, through the assessment and screening process.

What other dates will this program be offered in the future?

This program will be offered for academic years 2024-2025, 2025-2026, and 2026-2027.

What equipment or technical requirements are there for this program?

Students should have access to a private or public device larger than a phone with a stable internet connection and an up-to-date browser.

This program is organized by NSF EPSCoR Research Infrastructure Improvement Program: RII Track-1: Harnessing the Data Revolution for Fire Science (HDRFS).
This material is based upon work supported by the National Science Foundation under Grant No. OIA- 2148788.
Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.