Data Analyst Career Training Program

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

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

Training begins with SQL Fundamentals, where students 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. Students learn how a RDBMS works, how to make basic queries, use aggregate functions, create and manage tables, and how to use basic joins. Students 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 students how to use conditional expressions, work with text including search-and-replace operations, formulate subqueries and advanced joins, and how to use SQL functions. Students need approximately 80-120 hours, based on ability level, to complete this course.

The second part of the Data Analyst Career Training Program includes Python programming. Students with little or no prior experience in computer programming 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.

Students with sufficient prior experience in computer programming 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 students 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. Students need approximately 80-120 hours to complete this course.

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

Python Programmer Career Training Program

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

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

For students with little or no prior experience with computer programming, Python Programmer Career Training 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 algorithmic and problem solving which are a crucial prerequisite for success in computer programming.

Students with sufficient prior experience in computer programming can go directly to Introduction to Python, an intensive course that trains students in the most important aspects of Python in 40-60 hours. This course teaches 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 students 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, students must perform a capstone project under the supervision of an NCLab instructor in order to graduate and obtain a career certificate.