Training Success Elements

  • Exercises build your competency and confidence and give you a feeling of accomplishment.
  • Realtime AI-based contextual assistance is available, whenever needed.
  • You get personal coaching and tutoring throughout your training.
  • You never miss training sessions because of family and work requirements.
  • 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. The time it takes to complete the training varies from person to person. Each course takes an average of 80 hours to complete. While the majority of our trainees complete the training program in well under a year and some complete it in as little as 6 months, your personal situation will determine how long it will take you to graduate.

The coursework includes Visual Intro to Programming (complete beginners only), Python Fundamentals, Advanced Python, Applied Python, Linux, Git, Github, and Docker.

If you have little or no prior experience with computer programming, then you begin your training with Visual Introduction to Computer Programming. 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.

If, on the other hand, you have sufficient prior experience in computer programming, you go directly to Python Fundamentals, 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.

The Python Programmer Career Training continues with Advanced Python 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 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 Developer Career Training program. The level of detail covered in each of the self-paced interactive courses ensures that trainees are fully qualified to apply for Python Developer job openings.

Please Take a Short Tour of Our Learn-By-Doing!

 

 

 

What Our Trainees Say About Us

I love going to work every day!

“Thank you for giving me the competency and confidence that I needed to get a dream job. With my limited formal education, I had serious doubts that I could master SQL and Python but learning by doing worked perfectly.” G.K.

Perfect teaching method

“As an adult with a busy schedule and the need to work around banking business hours etc.: this method of teaching is perfect for me and I would recommend it for basically anyone on any subject.” F. V.

Superb way to learn

“I really enjoyed the self-paced format of this training program. 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.

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.

I’m really enjoying this class

“The emphasis on working at your own pace removes the stress of a normal class, and I can work around my other classes. NCLab is much better than similar programs, such as DataCamp. Not only do I learn the material, I retain it. Each lesson uses all or most of the previous concepts, which provides additional practice and ensures that you don’t forget the previous material. This is one of the most enjoyable and informative programs I’ve taken.” N. L.

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.” P.T.

I am thoroughly enjoying the training

“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.” K.L.

I love it!

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

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.

 

More Information

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