Training Success Elements

  • You learn on your own schedule, not on someone else’s schedule
  • Exercises build competency, confidence, and a feeling of accomplishment
  • Realtime AI-based contextual assistance is available, whenever needed
  • You are assigned a personal instructor
  • You are fully qualified and job-ready, when you graduate

Overview of Training

This training program consists of 3 or 4 courses, depending on whether or not you have prior programming experience. Each course must be completed within 6 months of its start date. This career training program is completely self-paced and allows you the flexibility to study as much or as little as your schedule allows — you set your own pace and finish on your own timeline.

If you have sufficient prior experience in computer programming, you go directly to Python Fundamentals (80 hours), a comprehensive course where you 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 programmer should know.

If, on the other hand, you have little or no prior experience with computer programming, then you begin your training with Introduction to Computer Programming (80 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 easy for you to learn Python.

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

Finally, the capstone course, Applied Python (80 hours) is a project-based course where you learn how to use Github and become proficient in using a Python IDE. You complete several projects under the supervision of a senior NCLab Python instructor in order to graduate and obtain a career certificate.

Syllabuses

Following are detailed syllabuses for each course in the Python Programmer Career Training Program. The level of detail covered in each of the self-paced interactive courses ensures that you are fully qualified to apply for Python Programmer job openings.

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What Our Trainees Say About Us

I love my new job!

“My boss encouraged me to take the training and now I’m really glad I did because I’m now doing data analytics work full time.” L.L.

William Jordan Teacher

I tell all my robotic teacher colleagues how great Karel is with introducing students to coding for their robotic classes.

Superb way to learn

“I really enjoyed the online/modular format of this course. The material was presented clearly and concisely and allowed me to focus longer on concepts that were difficult, while glancing over concepts I was already familiar with.” A.C.

This is how I like to learn

“This is how I like to learn, at my own pace. I like the bite-sized tutorials and I feel a real sense of accomplishment when I complete the exercises that follow them.” M.J.

Great training!

“I watched videos, read short tutorials, viewed examples, ran demo programs, and then performed exercises that demonstrated my comprehension of the subject matter.” S.L.

The training is really great!

“Not easy but really informative. Practical experience was what I wanted and I feel that I got it.” F. Z.

The program is great

“I cannot compliment enough any training that involves students actually working on the problems rather than just listening.” A. S.

This class has turned that around…

“I have really enjoyed the course so far, and based on my test score this is the most successful I have been in a math course since high school. I would not call other classes I have had difficult but simply unengaging, and this class has turned that around.” Y. M.

Compliments to the NCLab team

“Please extend my compliments to the NCLab team if you can, and keep advocating for this type of learning, if at the very least as an option for people like me who learn well this way.” F. A.

It’s working well

It might sound weird, but I feel as though it teaches the right parts for Python. When I was learning Python before, there were a lot of steps that felt skipped but are explained now.

I am thoroughly enjoying the class

I feel like I am learning a skill, much more than I felt in other courses. The use of repetition, doing programming in pieces, and the entire way the platform is laid out are far superior to how my university teaches their main, introductory, programming courses. It is too bad that the philosophy of academia is standing in its own way.

I love it!

I feel like I am actually LEARNING how to program, and the chunking method of the material is wonderful.

Yes!!

“I am really enjoying this course and learning python and I also like the way that it teaches the material. I’m very glad I took this course!” R. B.

Large amount of Python programming practice

“I really enjoyed and found the Python Fundamentals and Advanced Python courses incredibly useful. In fact, the large amount of Python programming practice questions in both courses helped me obtain my summer software development internship at Pfizer by preparing me for a variety of programming interview questions.” F. F.

 

 

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