Available Programs
Intro to Data Analytics
The explosive growth of the need for data analytics enables the ability to understand, analyze, and communicate where industries, markets, and competetive developments are headed. Learn the skills and about the technology needs to start a early career in data analytics.
Intermediate AI and Data Analytics
Learners for this level program already have an early credential or a degree in data science and want to pursue a early to mid-career-level position in the industry.
Enterprise AI and Data Analytics
You understand the foundational and intermediate levels of data analysis and the technology used in the industry. Now want to go into what is required to be a successful manager, director, VP or beyond within the industry. Through this enterprise level program, you will learn a range of the core technologies to meet that career goal.
Flexible Training Timeline Options
Industry Led Credentials
High-growth Careers
College Credits Access & Scholarship Access
Career & Economic Mobility
What You Will Learn
FAQ's
Learn How You Want To
Career Options
About Data Analytics
What You Will Learn
The higherLRN AI and Data Science programs offer several benefits that can help you advance your career in data science. These programs provide comprehensive training in essential skills such as big data technology, data visualization techniques, mathematics, problem-solving abilities, and effective communication. By covering these competencies, the programs ensure that you are well-equipped to tackle complex data-related challenges and make informed decisions.
Overall, the AI and Data Science program provides a solid foundation for a successful career in data science, with a focus on practical skills and industry-relevant knowledge.
Frequently Asked Questions
What is Data Analytics?
Data analytics involves a range of techniques and processes, such as math, statistics, and computer science, to examine raw data and uncover valuable insights. It is utilized across numerous industries to enhance performance, make strategic decisions, and boost efficiency. For instance, businesses leverage data analytics to scrutinize sales data, healthcare administrators use it to manage inventory, and gaming companies might apply it to improve player activity.
What skills are essential for a career in data science?
A career in data science necessitates a combination of technical and soft skills. These encompass knowledge of big data technology, data visualization techniques, mathematics, problem-solving abilities, and effective communication skills. These competencies are covered in the higherLRN AI and Data Science programs.
Is the fee to take the credential exam included?
Yes, the exam voucher fee is included. In addition, you also have the option to access up to 2 years of college credits from one of our college and university partners. You will also learn from top leaders in the industry.
Career Options
Intro to Cybersecurity
Intermediate Cybersecurity
This program offers credential exams from
98% of Learners would recommend higherLRN to others!
Testimonials
“I had a good experience with the program as a whole. I had a good experience learning program modules giving me some insight into the business and the modules on CyberSecurity were my favorites. The drone day was another highlight of the program. Thank You for thisopportunity.”
Jonathan J.
“Through higherLRN, I learned more than I expected about the field of technology and the different types of jobs available in Cybersecurity. I also learned about Network-Based Safeguards.”
Lauren T.

