NCLab Training Prepares Your Students for Jobs That Are Readily Available

Our self-paced Learn-by-doing Data Analyst and Python Developer Career Training programs provide students with the knowledge, practical experience, competency, and confidence needed to qualify for high-demand STEM jobs.

Our programs are being used by higher education institutions in two manners:

  1. Distance Learning, where students work independently but have ready access to subject-matter experts for guidance and support
  2. In-Classroom Learning, where an instructor leads the class and provides guidance and support

Following are brief descriptions of both our Data Analyst and Python Developer Career Training programs:

Data Analyst Career Training Program

In as little as 280 hours, our training prepares students to enter the workforce as fully qualified Data Analysts, at a time when the demand for qualified data analysts far outstrips the supply. It is hard to find a better career than Data Analytics.

Data analysts collect, process and perform statistical analyses of data. They can translate numbers and data into plain English in order to help organizations and companies understand how to make better business decisions. They become highly valued members of their team and help their enterprises be more successful.

Whether it be market research, sales figures, logistics, or transportation costs, every business collects data. Data Analysts take that data and figure out a variety of things, such as how to price new materials, how to reduce transportation costs, or how to deal with issues that cost the company money

Students love NCLab’s self-paced Learn-By-Doing training method as it keeps them engaged and provides them with the knowledge, practical experience, competency, and confidence needed to qualify for available Data Analyst jobs. Our subject-matter experts are always there to assist them through their learning process, and when they complete their training, they have a Career Certificate and a professional portfolio of real-world projects to demonstrate their qualifications to potential employers.

According to Salary.com, Data Analyst total cash compensation, which includes base, and annual incentives, can vary anywhere from $68,162 to $88,919, with the average total cash compensation being $78,413.

Python  Developer Career Training Program

In as little as 200 hours, our training prepares students to enter the workforce as fully qualified Python Developers, at a time when the demand for qualified Python Developers far outstrips the supply. Python is the most popular programming language for applications in Data Analytics, Machine Learning, Artificial Intelligence, Business, Finance, and other areas.

Students love NCLab’s self-paced Learn-By-Doing training method as it keeps them engaged and provides them with the knowledge, practical experience, competency, and confidence needed to qualify for available Python Developer jobs. Our subject-matter experts are always there to assist them through their learning process, and when they complete their training, they have a Career Certificate and a professional portfolio of real-world projects to demonstrate their qualifications to potential employers.

The average entry-level Python developer salary in the U.S. is $78,176, the junior Python developer salary is $89,776, while the senior Python developer earns $122,093 (source: devskiller.com).