NCLab Career Training Programs

Our college-level Python Programmer and Data Analyst Career Training programs provide people like 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 Programmer Career Training Program

Our college-level Python Programmer Career Training Program prepares you for a career as a Python software developer. Python is the most popular programming language for applications in Data Analysis, Machine Learning, Artificial Intelligence, Business, Finance, and other areas.

Our innovative Python Programmer Career Training Program uses a unique combination of a Learn-By-Doing training method and Verified Learning assessment to make you job-ready. During training, support services are provided by NCLab subject-matter experts.

If you have little or no prior experience with computer programming, the Python Programmer Career Training Program begins with Introduction to Computer Programming For Industry 4.0 that takes 80-120 hours. This visual course uses a simplified Python language to teach you algorithmic and problem solving skills which are a crucial prerequisite to succeed in computer programming.

If you have sufficient prior experience in computer programming, you can go directly to Introduction to Python, an intensive course that trains you in the most important aspects of Python in 40-60 hours. This course teaches you basic concepts of Python such as loops, conditions, variables, functions, and Python lists.

Python Programmer Career Training continues with Advanced Python, an advanced Python programming course with fundamentals of Computer Science designed to take approximately 80-120 hours. 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.

After completing the required coursework, you will need to perform a capstone project under the supervision of an NCLab instructor in order to graduate and obtain a career certificate.

Data Analyst Career Training Program

Our college-level Data Analysis Career Training Program prepares you for a career as a Data Analyst. Data Analytics is a rapidly growing field where the demand for qualified candidates far outstrips the supply.

Our innovative Data Analyst Career Training Program uses a unique combination of a Learn-By-Doing training method and Verified Learning assessment to make you job-ready. During training, support services are provided by NCLab subject-matter experts.

Training begins with SQL Fundamentals, 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. You’ll need approximately 80-120 hours to complete this course.

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 an Advanced SQL course, using PostgreSQL. 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. You’ll need approximately 80-120 hours, based on your ability level, to complete this course.

The second part of the Data Analyst Career Training Program includes Python programming. If you have little or no prior experience in computer programming, you’ll begin with Introduction to Computer Programming For Industry 4.0 that takes 80-120 hours. This visual course uses a simplified Python language to teach algorithmic and problem solving skills which are a crucial prerequisite to succeed in computer programming.

If you have sufficient prior experience in computer programming, you will progress directly 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. You’ll need approximately 80-120 hours to complete this course.

After completing the required coursework, you will need to perform a capstone project under the supervision of an NCLab instructor in order to graduate and obtain a career certificate.