Would You Like To Qualify For A High-Demand STEM Job?

According to the U.S. Bureau of Labor Statistics, over 3 million of STEM jobs go unfilled due to the lack of qualified workers. If you are ready to commit significant effort and time, NCLab will help you qualify for one of those jobs.

NCLab’s college-level Career Training Programs are based on a unique combination of Learn-By-Doing training and Verified Learning assessment, that students love. As you go through the interactive course materials, expert support makes sure that you are always on track and get timely help when needed. When your training is complete, you will be proficient enough to qualify for available jobs.

Are you tired of mainstream video-based courses which do not work?
NCLab Learn-By-Doing training is very different.

Our career training is done in a self-paced interactive online manner with support readily available from NCLab college-level personnel with in-depth knowledge of the skill sets being taught.

Our Verified Learning system confirms that you have mastered the subjects being taught and make it possible for you to show potential employers your demonstrated learning skills and practical experience.

Students Love Our Learn-By-Doing Approach

Learn-By-Doing approach provides you with practical experience

Verified Learning confirms that you have fully mastered the skills

Expert Support makes sure that you always get help when you need it

Our Career Training Programs

Our college-level Python Developer and Data Analyst Career Training Programs will provide you with all the skills needed to qualify for high-demand STEM jobs. Our training programs are in-depth, to the point that when you complete them, you are fully qualified to succeed in your new career.

Python Developer Career Training Program

Python is the most popular programming language for applications in Data Analytics, Machine Learning, Artificial Intelligence, Business, Finance, and other areas.

Our college-level Python Developer Career Training Program prepares you for an entry-level Python developer position. The entry-level Python developer salary in the U.S. is $78,176 a year on average, the junior Python developer salary is $89,776 on average, the mid-level Python developer salary reaches $111,896 on average, while the senior Python developer earns $122,093 on average (source: devskiller.com).

We use a unique combination of a Learn-By-Doing training method, Verified Learning assessment, and Expert Support to make you job-ready. There is a lot to learn to become a fully qualified entry-level Python developer. NCLab is not a shallow mainstream video-based education platform. If you are serious, we will help you succeed.

You will be provided bite-sized tutoring and asked to show that you have learned each concept by completing exercises. Our Artificial Intelligence-based Progress Monitor will verify that exercises are done correctly and, if not, provides you feedback and guidance. Subject-matter expert support will also be available throughout the learning process.

If you have little or no prior experience with computer programming, then you will begin the Python Developer Career Training Program with Introduction to Computer Programming (80-120 hours). This powerful visual course transforms the way you think. In computer programming, correct algorithmic (computational) thinking is way more important than the knowledge of a particular programming language. This course unlocks your computer programming potential, and makes it much easier for you to learn Python and other programming languages in the future.

If you have sufficient prior experience in computer programming, you can go directly to Python Fundamentals (80-120 hours) a comprehensive course where you will learn Python by solving programming problems of gradually increasing complexity, ranging from simple calculations, working with text strings, loops, conditions, and variables, to file operations and data visualization. This course also teaches fundamentals of Computer Science which every software developer should know.

The Python Developer Career Training continues with Advanced Python (80-120 hours) where you will learn object-oriented programming and selected advanced concepts including ternary operators, anonymous lambda functions, filters, maps, decorators, JSON, concurrency, event-driven programming, elements of computing, and basics of working with data.

After completing the required coursework, you will need to perform a Capstone Project (40-60 hours) under the supervision of an NCLab instructor in order to graduate and obtain a career certificate.

Data Analyst Career Training Program

Data Analytics is a rapidly growing field where the demand for qualified candidates far outstrips the supply.

Our college-level Data Analyst Career Training Program prepares you for an entry-level Data Analyst position. Data analysts with 1-4 years of experience can expect an average total compensation of $94,028, while 5-9 years of experience means earning $120,487 on average. The average senior data analyst salary exceeds $134,000 (source: devskiller.com).

Our innovative Data Analyst Career Training Program uses a unique combination of a Learn-By-Doing training method, Verified Learning assessment, and Expert Support to make you job-ready. NCLab is not a shallow mainstream video-based education. If you are serious, we will help you succeed.

You will be provided bite-sized tutoring and asked to show that you have learned each concept by completing exercises. Our Artificial Intelligence-based Progress Monitor will verify that exercises are done correctly and, if not, provide you feedback and guidance. Subject-matter expert support will also be available throughout the learning process.

Training begins with SQL Fundamentals (80-120 hours) where you learn about data and databases, with emphasis on Relational Database Management Systems (RDBMSs), which are used in virtually all industries and organizations to store data about employees, products, services, inventory, financial transactions, etc. You learn how a RDBMS works, how to make basic queries, use aggregate functions, create and manage tables, and how to use basic joins.

In a real company setting, RDBMSs tend to be large, complex, and messy (they often contain damaged and/or incomplete data). To successfully handle such databases, training continues with Advanced SQL (80-120 hours). This course teaches you how to use conditional expressions, work with text including search-and-replace operations, formulate subqueries and advanced joins, and how to use SQL functions.

The second part of the Data Analyst Career Training Program includes Python programming. Python is a step up from SQL. If you have little or no prior experience in computer programming, then you will begin with Introduction to Computer Programming (80-120 hours). This powerful visual course will transform the way you think. In computer programming, correct algorithmic (computational) thinking is way more important than the knowledge of a particular programming language. This course will unlock your computer programming potential, and make it much easier for you to learn Python and other programming languages in the future.

If you have sufficient prior experience in computer programming, you will progress directly to Predictive Data Analytics with Python (80-120 hours) which starts by covering a necessary minimum of the Python programming language for applications in Data Science. Then it teaches you how to use Python and its powerful free libraries including Pandas, Numpy, Scipy, Matplotlib, Seaborn, and Statsmodels to read data from files, clean data, present data in visual form, perform qualitative and quantitative analysis of data, interpret data, and make predictions.

After completing the required coursework, you will need to perform a Capstone Project (40-60 hours) under the supervision of an NCLab instructor in order to graduate and obtain a career certificate.