You’ll Love Our Learn-By-Doing Approach

Learn-By-Doing approach provides students with practical experience

Verified Learning confirms that students have fully mastered the skills

Expert Support makes sure that students always get help when they need it

NCLab Training Prepares Your Students for Jobs That Are Readily Available

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

Courses are being used by higher education institutions in three manners:

  1. In-person classroom environments, where an instructor is present to coach students 
  2. Independent learning environments, where students have online access to an instructor
  3. Remote learning environments, where students work independent of an instructor but have access to subject matter expert support personnel

Following are brief descriptions of both our Python Developer and Data Analyst career training programs:

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 students 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 students 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.

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

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

If a student has sufficient prior experience in computer programming, they can go directly to Python Fundamentals (80-120 hours) a comprehensive course where they 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 they 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, students 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 Analysis Career Training Program prepares students 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 students job-ready. NCLab is not a shallow mainstream video-based education.

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

Training begins with SQL Fundamentals (80-120 hours) 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. They 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 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.

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

If a student has sufficient prior experience in computer programming, they 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 them 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, students 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.