Why Choose NCLab?

At NCLab, we provide best-in-class self-paced, practice-based courses in Data Analytics and Python programming.

  • In every NCLab course, real hands-on experience is a core part of the training process
  • Our Verified Learning guarantees that you have grasped the required skill set
  • Self-paced learn-by-doing allows you to progress at your own speed

While we offer our training, complete with support by experts in the field of study, directly to individuals, we also partner with colleges and universities across the U.S. and internationally to bring our training to a larger audience.

Upon successful completion of our training, we provide you an NCLab Certificate showing you successfully passed the course. If you take the same NCLab course at a college or university, they will also provide you a Certificate confirming your successfully passing the course and may also provide you CEUs or College Credits.

Our Career Training Programs

Our training programs are intense, to the point that when you complete them you are fully qualified to succeed in a new career. As such, they require a combination of aptitude and determination.


Data Analytics is a rapidly growing field where the demand for qualified candidates far outstrips the supply. Our Data Analytics Training Program prepares you to succeed in an entry-level Data Analyst position.

The Data Analytics training starts with learning SQL (Structured Query Language). SQL is used to insert, modify, and extract data from relational databases. Relational Database Management Systems (RDBMS) are used in virtually all industries and organizations to store data about employees, products, services, inventory, financial transactions, etc. The ability to communicate with a relational database is a must for any Data Analyst.

The sequence begins with SQL Fundamentals where you learn about data and databases, with emphasis on RDBMS. You learn how a RDBMS works, how to make basic queries, use aggregate functions, create and manage tables, and how to use basic joins. This is the very minimum everybody should know about relational databases and SQL.

In a real company setting, RDBMS tend to be large, complex, and messy (they often contain damaged and/or incomplete data). To successfully handle such databases, we provide a follow-up Advanced SQL course. 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 course sequence progresses to Predictive Data Analytics with Python 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.


Python is the most popular programming language for applications in Data Analysis, Machine Learning, Artificial Intelligence, Business, Finance, Engineering, and many other areas. Our Python Training Program prepares you to succeed in an entry-level Python software developer position.

The Python training has two tiers. Students with no prior programming experience should begin with Introduction to Python. This course teaches basic concepts of Python such as loops, conditions, variables, functions and Python lists. This short and sweet course gives you the confidence you need to continue learning Python for practical applications.

The training continues with a full Python Programming course. This course teaches you how to use Python to solve problems of gradually increasing complexity, ranging from simple calculations, working with text strings, loops, conditions, and variables, to file operations, data visualization, and object-oriented programming.