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Are you interested in growing but not ready to commit to a full career training program? If so, you’ve come to the right place.

We offer a full set of stackable micro-credentials that you can grow with. Each one includes a digital badge which describes what you’ve accomplished and how your new skill can be leveraged by employers.

Let’s Discuss How We Can Get Started On An Exciting Journey.

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NCLab Engaging College-level Micro-credential Courses

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Advanced Python Capstone Project
ProgrammingPython

This self-paced, gamified course challenges learners to apply advanced Python skills to a real-world capstone project. Students integrate data handling, object-oriented design, and algorithmic problem-solving to build a portfolio-ready software…

Prerequisites: REQUIRED: PD 230 (Event-Driven Programming (Othello)).
Advanced Spreadsheets
SpreadsheetsData Analysis

This online, gamified course develops advanced spreadsheet skills for data analysis. Learners master complex formulas, pivot tables, and data modeling to efficiently analyze and present professional data.

20 hrs · 300
Prerequisites: REQUIRED: DA 110 (Statistical Analysis).
Advanced SQL
Data AnalysisPostgre SQL

This self-paced, gamified course expands SQL expertise through advanced querying, database techniques, and performance optimization. Learners work with real database systems to prepare for advanced roles in data analytics and…

30 hrs · 450
Prerequisites: REQUIRED: SQ 102 (Intermediate SQL).
Advanced Topics in Python
ProgrammingPython

This self-paced, gamified course covers advanced Python concepts aligned with the PCAP certification. Students gain hands-on experience with recursion, data structures, exception handling, and serialization using JSON and XML.

30 hrs · 450
Prerequisites: REQUIRED: PD 215 (Object-Oriented Programming 2).
Blueprints and GD&T 1
Blueprints

This self-paced, gamified course introduces beginners to manufacturing blueprints, technical drawing standards, and 3D CAD interpretation. Learners develop spatial reasoning and foundational knowledge of tolerances and processes to prepare for…

20 hrs · 300
Prerequisites: RECOMMENDED: WM 100 (Workplace Math).
Blueprints and GD&T 2
Blueprints

This self-paced, gamified course introduces advanced Geometric Dimensioning and Tolerancing (GD&T) concepts for modern manufacturing. Through practical exercises, learners master GD&T rules, symbols, and material modifiers to support applications in…

20 hrs · 300
Prerequisites: REQUIRED: BP 100 (Blueprints and GD&T 1).
CAD Fundamentals 1
CAD

This online, self-paced course introduces computer-aided design using the Python-based scripting environment PLaSM. Students create 2D and 3D geometric objects through code, mastering transformations and Boolean operations to build complex…

20 hrs · 300
Prerequisites: RECOMMENDED: WM 100 (Workplace Math).
CAD Fundamentals 2
CAD

This self-paced, gamified course centers on a project-based experience where learners use the Python-based PLaSM environment to create a custom 3D model. Students apply scripting and constructive solid geometry techniques…

20 hrs · 300
Prerequisites: REQUIRED: CF 100 (CAD Fundamentals 1).
Career Readiness Assessment

Take our free, 2-hour gamified Career Readiness Assessment to test your logic and problem-solving skills. Discover your aptitude for technical careers and receive a certificate and detailed results report upon…

2 hrs
Prerequisites: Ability to learn and apply what you have learned.
CompTIA Data+ Exam Prep
Data Analysis

This self-paced, gamified course prepares learners for the CompTIA Data+ exam through realistic practice tests and targeted reviews. Students reinforce essential data analytics skills, including SQL, data governance, and database…

20 hrs · 300
Prerequisites: REQUIRED: DA 120 (Introduction to Dashboards).
Computational Thinking 1
Programming

This online, gamified course introduces computational thinking concepts like logic and problem decomposition, building a foundation for programming and data fields.

20 hrs · 300
Prerequisites: None.
Computational Thinking 2
Programming

This self-paced, gamified course enhances computational thinking through complex problem-solving. Students apply abstraction and algorithmic thinking to prepare for intermediate programming.

20 hrs · 300
Prerequisites: REQUIRED: CT 101 (Computational Thinking 1).
Computational Thinking 3
Programming

This self-paced, gamified course focuses on advanced computational thinking for software and data analysis. Learners design efficient algorithms and optimize problem-solving to prepare for advanced technical coursework.

10 hrs · 150
Prerequisites: REQUIRED: CT 102 (Computational Thinking 2).
Computer Science Essentials
ProgrammingPython

This self-paced, gamified Python course introduces foundational computer science and numeral systems for the PCEP exam. Students master decimal, binary, octal, and hexadecimal conversions while applying bitwise operators and Boolean…

10 hrs · 150
Prerequisites: REQUIRED: PD 105 (Working with Text in Python).
Dashboards in PowerBI
DashboardsData AnalysisPowerBI

This self-paced, gamified course teaches learners to design interactive Power BI dashboards, transforming data into visual insights for careers in business intelligence and data analytics.

10 hrs · 150
Prerequisites: REQUIRED: DA 120 (Introduction to Dashboards).
Dashboards in Sheets
SpreadsheetsDashboardsData Analysis

This self-paced, gamified course focuses on building Google Sheets dashboards, charts, and automated reports. It emphasizes practical data communication skills.

10 hrs · 150
Prerequisites: REQUIRED: DA 120 (Introduction to Dashboards).
Dashboards in Tableau
DashboardsData AnalysisTableau

This self-paced, gamified course teaches data visualization and dashboard creation using Tableau. Students design interactive visualizations to communicate complex insights, preparing them for professional analytics environments.

10 hrs · 150
Prerequisites: REQUIRED: DA 120 (Introduction to Dashboards).
Data Analyst with Python Capstone Project
Data AnalysisProgrammingPython

This self-paced, gamified course concludes the Data Analyst with Python training with a real-world project. Students independently analyze a dataset to produce a portfolio-ready report and presentation, demonstrating their readiness…

20 hrs · 300
Prerequisites: REQUIRED: DA 198 (Predictive Data Analytics with Python).
Data Analytics Essentials
Data Analysis

This self-paced, gamified course introduces foundational data analytics for Python developers. Students use Pandas and Seaborn to manipulate data, create visualizations, and perform linear regression. Through hands-on exercises, learners gain…

10 hrs · 150
Prerequisites: REQUIRED: PD 100 (Introduction to Python).
Data Visualization
SpreadsheetsData Analysis

This online, self-paced, gamified course teaches learners to transform data into meaningful visual representations. Students review data concepts and learn to create and customize a wide variety of charts, from…

20 hrs · 300
Prerequisites: REQUIRED: DA 102 (Data Handling 2).
Data Visualization with Python
Data AnalysisProgrammingPython

This self-paced, gamified course teaches Python-based data visualization using Pandas, NumPy, and Matplotlib. Students create various plots and learn to visualize structured and unstructured data through hands-on exercises focused on…

10 hrs · 150
Prerequisites: REQUIRED: PD 120 (Working with Files in Python).
Event-Driven Programming (Othello)
ProgrammingPython

This self-paced, gamified course introduces event-driven programming and advanced Python through the hands-on development of the game Othello. Using PyGame in a Linux environment, students gain practical experience in structuring…

20 hrs · 300
Prerequisites: REQUIRED: PD 225 (Advanced Topics in Python).
Event-Driven Programming (Snake Game)
ProgrammingPython

This self-paced, gamified course guides learners through building a Snake game in Python using Pygame. Students apply event-driven programming to implement core game mechanics while developing debugging and independent problem-solving…

20 hrs · 300
Prerequisites: REQUIRED: PD 225 (Advanced Topics in Python).
Excel Project
SpreadsheetsData AnalysisDashboards

This self-paced, gamified course guides learners through a comprehensive Excel data analysis project. Students clean data, perform statistical analyses, and build predictive models to create a portfolio-ready project.

30 hrs · 450
Prerequisites: REQUIRED: DA 115 (Advanced Spreadsheets).
Intermediate Spreadsheets
Spreadsheets

This self-paced, gamified course teaches advanced data handling and analysis techniques. Students master filtering, sorting, complex formulas, and data validation rules. The curriculum covers Boolean logic, arrays, and error handling,…

20 hrs · 300
Prerequisites: REQUIRED: DA 101 (Data Handling 1).
Intermediate SQL
Postgre SQL

This self-paced, gamified course expands on foundational SQL skills to teach database table management, including data manipulation and inner joins. Through hands-on practice with real-world schemas, students strengthen their practical…

20 hrs · 300
Prerequisites: REQUIRED: SQ 100 (SQL Fundamentals).
Intermediate Topics in Python
PythonProgramming

This self-paced, gamified course explores intermediate Python concepts essential for the PCEP exam. Learners practice recursion, lambda functions, iterators, and advanced data operations like map and filter. Students gain hands-on…

10 hrs · 150
Prerequisites: REQUIRED: PD 100 (Introduction to Python).
Introduction to CNC Machining
CNC Machining

This self-paced, gamified course introduces CNC machining, covering G/M codes, setup, safety, and foundational skills like blueprint reading. It prepares students for the Haas Basic Mill Operator Certification and hands-on…

10 hrs · 150
Prerequisites: RECOMMENDED: WM 100 (Workplace Math).
Introduction to Dashboards
DashboardsSpreadsheetsData Analysis

This self-paced, gamified course provides a hands-on introduction to designing and building dashboards. Students practice data preparation and visualization to create static and dynamic dashboards, including a final project built…

20 hrs · 300
Prerequisites: REQUIRED: DA 115 (Advanced Spreadsheets).
Introduction to Python
ProgrammingPython

This self-paced, gamified course provides a hands-on introduction to Python programming. Learners explore fundamental concepts and core data structures while following PEP 8 coding standards. The course emphasizes practical problem-solving…

30 hrs · 450
Prerequisites: RECOMMENDED: CT 103 (Computational Thinking 3).
Linear Algebra 1
Linear AlgebraMath

This online, self-paced, gamified course provides a practical introduction to linear algebra. Learners explore vectors, matrices, and linear systems through problem-solving and computational thinking, preparing for applications in machine learning,…

30 hrs · 450
Prerequisites: RECOMMENDED: WM 100 (Workplace Math).
Linear Algebra 2
Linear AlgebraMath

This self-paced, gamified course explores advanced linear algebra topics, including matrix equations, transformations, and decompositions. It prepares learners for applications in machine learning, optimization, and engineering through a practical, learn-by-doing…

30 hrs · 450
Prerequisites: REQUIRED: LA 101 (Linear Algebra 1).
Linear Algebra 3
Linear AlgebraMath

This online, self-paced course continues the study of linear algebra, focusing on determinants, linear spaces, and subspaces. Learners master determinant calculations, bases, and rank, relating these concepts to linear systems…

30 hrs · 450
Prerequisites: REQUIRED: LA 102 (Linear Algebra 2).
Linear Algebra 4
Linear AlgebraMath

This self-paced, gamified course explores advanced linear algebra topics like eigenproblems, complex systems, normed spaces, and orthogonality. Students gain practical skills in eigenvalues, orthogonal projections, and decompositions, preparing them for…

30 hrs · 450
Prerequisites: REQUIRED: LA 103 (Linear Algebra 3).
Linear Algebra 5
Linear AlgebraMath

This self-paced, gamified course covers advanced linear algebra topics like the Spectral Theorem, QR factorization, and SVD. Students use Python, NumPy, and SciPy to solve large linear systems and perform…

40 hrs · 600
Prerequisites: REQUIRED: LA 104 (Linear Algebra 4).
Object-Oriented Programming 1
ProgrammingPython

This self-paced, gamified course introduces object-oriented programming fundamentals in Python. Students practice defining classes, objects, and methods while learning Python-specific features to build well-structured, modular, and reusable code.

10 hrs · 150
Prerequisites: REQUIRED: PD 145 (Intermediate Topics in Python).
Object-Oriented Programming 2
ProgrammingPython

This self-paced, gamified course teaches advanced Python OOP concepts including inheritance, polymorphism, and abstract classes. Students gain hands-on experience building maintainable class hierarchies and applying best practices to create scalable,…

10 hrs · 150
Prerequisites: REQUIRED: PD 205 (Object-Oriented Programming 1).
OSHA-10 Workplace Safety Exam Prep
OSHA

This self-paced, gamified course offers a hands-on introduction to OSHA standards and workplace safety hazards. Through case studies and simulations, students practice identifying and mitigating risks to prepare for general…

10 hrs · 150
Prerequisites: RECOMMENDED: WM 100 (Workplace Math).
OSHA-30 Workplace Safety Exam Prep
OSHA

This self-paced, gamified course offers a hands-on introduction to OSHA standards and workplace safety hazards. Through case studies and simulations, students practice identifying and mitigating risks to prepare for general…

30 hrs · 450
Prerequisites: RECOMMENDED: WM 100 (Workplace Math).
PCAP Exam Prep
ProgrammingPython

This self-paced, gamified course prepares learners for the PCAP certification through hands-on exercises and practice exams. Students master advanced Python topics like OOP, modules, and file handling by completing real-world…

10 hrs · 150
Prerequisites: REQUIRED: PD 230 (Event-Driven Programming (Othello)).
PCEP Exam Prep
ProgrammingPython

This self-paced, gamified course provides hands-on preparation for the Certified Entry-Level Python Programmer (PCEP) exam. Learners review core Python concepts and complete practice exams to gain the skills needed to…

10 hrs · 150
Prerequisites: REQUIRED: PD 145 (Intermediate Topics in Python). RECOMMENDED: PD 135 (Data Analytics Essentials).
Plotting and Drawing with Python
ProgrammingPython

This self-paced, gamified course offers a hands-on introduction to data visualization using Python’s Matplotlib. Learners master creating custom plots, graphing functions, and using geometric shapes to build practical skills for…

10 hrs · 150
Prerequisites: REQUIRED: PD 105 (Working with Text in Python).
Predictive Data Analytics with Python
ProgrammingPythonData Analysis

This self-paced, gamified course provides a hands-on introduction to predictive data analytics using Python. Learners explore data manipulation, visualization, and statistical analysis, including linear and logistic regression. By working with…

30 hrs · 450
Prerequisites: REQUIRED: PD 130 (Data Visualization with Python).
Python Capstone Project
ProgrammingPython

This self-paced, gamified course provides hands-on Python development experience through a comprehensive Capstone Project. Learners apply programming skills to design and document robust software using Git, GitHub, and professional IDEs.…

20 hrs · 300
Prerequisites: REQUIRED: PD 145 (Intermediate Topics in Python).
Software Project 1
ProgrammingPython

This online, self-paced course guides learners through building a Graphics Editor using Python and Matplotlib. Students implement core functions for shape manipulation while practicing software design, API development, and data…

10 hrs · 150
Prerequisites: REQUIRED: PD 110 (Plotting and Drawing with Python).
Software Project 2
ProgrammingPython

This self-paced, gamified course guides learners in building PNM image viewers using Python, Numpy, and Matplotlib. Students gain hands-on experience in file I/O, array manipulation, and data visualization to create…

10 hrs · 150
Prerequisites: REQUIRED: PD 120 (Working with Files in Python).
Software Project 3
ProgrammingPython

This online, self-paced Python course guides learners through simulating a digital computer by building virtual logic gates and circuits. Students master core computer science concepts and advanced Python skills, culminating…

10 hrs · 150
Prerequisites: REQUIRED: PD 145 (Intermediate Topics in Python).
Software Project 4
ProgrammingPython

This self-paced, gamified course guides learners through building a custom version of Python's Turtle Graphics using object-oriented programming. Students develop skills in class design, Matplotlib, and modular code organization while…

10 hrs · 150
Prerequisites: REQUIRED: PD 205 (Object-Oriented Programming 1).
Software Project 5
ProgrammingPython

This self-paced, gamified course guides learners in upgrading a Graphics Editor using advanced object-oriented programming techniques. Students build complex shape hierarchies, practice encapsulation and polymorphism, and explore multiple inheritance to…

10 hrs · 150
Prerequisites: REQUIRED: PD 215 (Object-Oriented Programming 2).
Spreadsheet Fundamentals
Spreadsheets

This self-paced, gamified course introduces fundamental data concepts and essential spreadsheet skills. Learners gain practical experience importing, organizing, and analyzing data using formulas and functions to prepare structured datasets for…

10 hrs · 150
Prerequisites: RECOMMENDED: WM 100 (Workplace Math).

What Our Trainees Say About Us

Challenging and fun

“This course feels like more of a challenge rather than a class, a lot more fun!” J. S.

Great flexibility

“I love the self-taught aspect of the course supplemented by the teacher. Instruction is excellent. The flexibility is superb.” A. R.

Well organized

“The feature I find most beneficial about this course format is that the notes are always one click away so I don’t need to keep track of writing down my own notes. I also like how we are able to learn at our own pace.” A. L.

Straight to the point

“The most beneficial parts of this hands on course is the ability to access the instructor and the strait-to-the-point lecture and side notes.” E. M.

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.

I really learned a lot

“I really learned a lot and have found a new passion towards data science and analytics I didn’t know I had.” M.N.

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.

Totally worth it

“I just completed 3 courses: SQL Fundamentals, Advanced SQL, and Predictive Data Analytics with Python within the estimated hours that they had advised. It was a lot of work, but totally worth it!” Q.B

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.

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.

You do a great job explaining the concepts

“So far I’m enjoying the course. You do a great job explaining the concepts and the logic behind each step (the explanation for the difference between WHERE and HAVING comes to mind)!” R. C.

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.

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.

Patrick Frazier SQL Program Graduate

While attending school full-time and interning at the Desert Research Institute, I enrolled in the SQL Developer Training course at NCLab. The flexibility of the course allowed me to balance my studies and internship effectively. The technical support and coaching provided by NCLab were exceptional, helping me reinforce the skills I was gaining at school and through my internship. The staff encouraged self-learning, but were always ready to assist when needed. Weekly coaching calls helped me set realistic goals and stay focused. The course also offered valuable assistance in resume building and job search tips. I highly recommend this program to anyone looking to enhance their SQL skills.

Kendra Isabel Data Analyst Learner

I have been working on programs in NCLab and I have learned so much. I have already earned 4 certificates in this programs (2 in computational literacy and 2 in data literacy). This is the most comprehensive, interactive programming course I have ever experienced and it has really developed my skills and knowledge of programming. I love how it teaches the elements of programming incrementally and allows you to master one component before moving on a building on your existing knowledge. The support staff are amazing. You can get real time assistance with anything regarding the program. I really appreciate the flexibility of the program. With the demand of a doctorate program, it can be difficult to carve out time, but this program makes it easy to integrate it into your schedule. I have so many wonderful things to say about NCLab and I am eternally grateful for all that I have been able to learn in this program and I am looking forward to learning more!

Antonio Gomez Data Analyst Graduate

The training provided by NClab was exceptional, and I learned so much from their expertise. The most impactful part of my career training was the hands-on experience that I gained. The practical exercises and real-world projects provided me with the skills to tackle any challenge in my field. I also appreciated the personalized approach to the coaching, with a focus on my individual goals and learning style. Shout out to my coach! I felt supported and encouraged every step of the way. The team was responsive to my needs and provided me with valuable feedback that helped me to grow and develop.

Overall, I highly recommend NClab for anyone looking to enhance their skills and advance their career. Their coaching expertise and practical approach to training make them a standout choice!

Elena Chau Data Analyst Learner

I love the course in how it always challenges me. It doesn’t just give me heavy content, but I have to interact and actively use my skills. My NCLab mentor is always very supportive of me. It is definitely an opportunity worth taking!

Sou Saeteurn Data Analyst Graduate

I recently completed this data analysis training program that has been a game-changer for my professional growth. I enrolled in the program to strengthen my skills, expand my knowledge, and explore potential career transitions, all while managing a full-time job. Thanks to the incredible support I received throughout the journey, I was able to stay on track and reach my goals.

My career advisor played a pivotal role in this experience. He worked closely with me to refine my resume, optimize my LinkedIn profile, and build a polished portfolio that showcases my data analysis projects. His personalized guidance gave me a much clearer sense of how to position myself in the job market and highlight my strengths effectively.

My coach was also an essential part of my success. She provided consistent support, helped me navigate the course schedule, and ensured I had the resources I needed to stay focused and motivated.

The curriculum itself was well-structured and hands-on, giving me a solid foundation in key data analysis tools and concepts. I left the program with both the technical skills and the career readiness to take meaningful next steps.

If you’re looking to grow in the field of data or considering a career shift, I highly recommend this program, especially with the kind of dedicated support I received.

Sofia Elliott Data Analyst Graduate

Learning with NCLab was a very gratifying experience. It was daunting to be back in school after so long, there were definitely challenges. However, the amazing people at NCLab helped me feel guided and supported through the learning process. Here goes a shout out to NCLab, thanks so much!

 

 

 

 

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