Training Success Elements

  • Become an industry-certificated AI-empowered Data Analyst in as little as 4 months.
  • Do hundreds of AI-mentored mini projects to build your competency and confidence and give you a feeling of accomplishment.
  • You're never left alone when doing work -- our AI-based teaching platform is there throughout your training, helping you in realtime.
  • Be ready to take the CompTIA Data+ industry-recognized professional certification at graduation.
  • Study anywhere, any time -- never miss training sessions because of family and work responsibilities.

 

Overview of Training

This flagship program is designed for individuals who are serious about becoming AI-Empowered Data Analysts and contributing meaningfully in modern, data-driven organizations.

You do not graduate with surface-level familiarity.
You graduate with professional capability.

The program combines extensive hands-on practice with the theoretical foundation necessary to perform confidently in the workplace. By the time you complete the training, you are prepared to begin a successful career as a Data Analyst.

Data Analytics is not mastered by passively watching videos or completing occasional unassisted assignments. It is a professional discipline that requires sustained, structured, and closely guided practice.

That is why NCLab’s proven methodology is called Instructor-Assisted Learning by Doing.

From Day 1, you are actively working with data. Our advanced AI-based teaching platform monitors your progress in real time, evaluates your work, and provides contextual guidance, hints, templates, and structured support whenever needed. It also reinforces established best practices, analytical methodologies, and professional standards to ensure accuracy, consistency, and reliability in your work.

You are never left guessing.
You are never left behind.

The program is fully self-paced, allowing you to build a consistent learning routine that fits around work and family responsibilities. You move forward only after demonstrating competence in each topic. The curriculum has been refined over many years to ensure a smooth, confidence-building progression.

What You Learn

The training begins with comprehensive data literacy foundations, covering:

  • Data sources

  • Data types and structures

  • Data relationships

  • Sorting, filtering, grouping, and organizing data

  • Core analytical techniques

You then progress to:

  • Basic and advanced spreadsheet operations (Google Sheets)

  • Data visualization principles and tools

  • Statistical methods for analysis

  • Data analysis and data mining techniques

  • Creation of interactive dashboards

By graduation, you have real experience acquiring, storing, cleaning, manipulating, analyzing, and interpreting data — and using it to inform sound business decisions.

Program Commitment

The complete Data Analyst training program includes approximately 320 hands-on hours of structured, applied learning.

These are not passive hours. They are active hours spent solving real analytical problems, building dashboards, and developing professional-level competence.

When you finish, you are not just certified — you are capable.

Coursework

To begin with, given that Data Analysts work extensively with numbers, you must know some math. If it is determined that you need a basic middle school level math refresher, our optional free Workplace Math course provides hands-on review and practice to bring you up to speed. In small and simple steps, we review how to work with whole and decimal numbers, fractions, percentages, proportions, simple and compound interest, unit conversions, and solve simple workplace-related math problems. With an appropriate math foundation in place, you begin your Data Analyst training, which consists of the following courses:

SQL Fundamentals (30 hours): This module covers essential facts about data and databases, including the difference between relational and non-relational databases, design and ethics principles, referential integrity, ACID, and the differences among various SQL flavors. You learn how to create basic queries using SELECT, ORDER BY, LIMIT, and OFFSET clauses. You also learn how to use aggregate functions such as COUNT, AVG, MIN, MAX, and SUM, filter data with WHERE, WHERE-LIKE, WHERE-BETWEEN, and WHERE-IN clauses, and combine multiple conditions using AND, OR, and NOT. Instruction includes grouping data with GROUP BY and HAVING clauses, modifying databases with ALTER TABLE, defining constraints, setting default values, and merging tables using inner joins.

Data Literacy (40 hours): You learn core data concepts and gain practical skills using spreadsheets to enter, organize, modify, and analyze data. You practice manual data entry, basic formatting, menu and keyboard shortcut use, working with cell addresses and ranges, performing copy, cut, and paste operations, importing data from CSV files and the web, filtering and sorting data, using formulas, and performing calculations. Additional topics include grouping rows and columns, applying conditional formatting, and creating data validation rules. You also learn to use functions, conditions, conditional aggregate functions, wildcards, arrays, date/time functions, information functions, error handling, text processing, and basic lookups.

Data Visualization (20 hours): This module reviews data classification as quantitative (numeric) or qualitative (categorical), emphasizes the importance of data visualization, and guides you in selecting the best visualization technique for your data. You learn how to create and modify a wide range of chart types, including line, bar, column, pie, histogram, geo, waterfall, candlestick, radar, treemap, organizational, gauge, scorecard, Gantt, sparkline, bubble, and scatter charts.

Statistical Analysis (20 hours): You expand your understanding of probability and statistics while gaining practical experience analyzing spreadsheet data. The focus is on simple linear regression, with additional coverage of multiple linear regression and logistic regression. Topics include variables, observations, causal relationships, independent and dependent variables, data compatibility, measures of central tendency and variability, probability concepts, discrete and continuous probability, Probability Density Functions (PDF), normal distribution, the 68-95-99.7 rule, skewness, kurtosis, correlation, and goodness of fit. You also learn about other data distributions. Hypothesis testing is covered in depth, including alternative (H1) and null (H0) hypotheses, P-values, significance levels, type I and II errors, one- and two-tailed tests, T-tests, F-tests, ANOVA, Z-tests, and Chi-squared tests.

Advanced Spreadsheets (20 hours): This module introduces advanced spreadsheet capabilities, such as lookups, named ranges, named functions, pivot tables, slicers, and data cleanup tools. You learn basic SQL and practice integrating SQL into spreadsheets using the QUERY function. The module concludes with instruction on using, creating, importing, and managing macros.

Introduction to Dashboards (20 hours): You learn principles of dashboard creation, including differences between static and dynamic dashboards and how to interpret existing dashboards for insights. You examine the four purposes of dashboards—strategic, analytical, operational, and tactical—and practice profiling, cleaning, classifying, and preparing data. The module includes coverage of sensitive data review, legal protections, masking, and de-identification techniques. You learn how to build static and dynamic dashboards and complete a capstone project to create a unique dynamic dashboard from scratch using a provided dataset and guidelines.

Excel Project (40 hours): In this module, you complete a real-world project designed to transition your skills from Google Sheets to Excel.

Dashboards in Sheets (10 hours): You practice creating dashboards in Google Sheets, applying data visualization and interactivity techniques.

Dashboards in Tableau (10 hours): This module introduces you to Tableau, teaching you how to use the platform to design and build dashboards.

Dashboards in Power BI (10 hours): You are introduced to Power BI and learn how to create dashboards using its tools and features.

Advanced SQL [optional] (30 hours): This module covers advanced SQL techniques essential for working with large, real-world databases. You learn to insert conditional expressions into queries using the CASE keyword, apply the FILTER clause to simplify value filtering in aggregate functions, and work with NULL values using NULLIF and COALESCE. You develop skills in handling text strings and regular expressions, using the ASCII table and Unicode extension, performing case-sensitive and case-insensitive searches, and executing find-and-replace operations. Additional topics include working with sets, creating subqueries, and applying advanced joins and functions.

AI-Powered Data Analytics (20 hours): This a project-driven course where you learn to leverage AI as a powerful assistant for exploring, visualizing, and interpreting data. Working with real-world datasets, you use AI to generate insights, create visualizations, and suggest analytical approaches, while critically evaluating the accuracy, relevance, and completeness of AI outputs. Through hands-on projects and iterative refinement, you strengthen your skills in data preparation, statistical analysis, and visualization, gaining a clear-eyed understanding of both the advantages and the limitations of AI in the analytics workflow. By the end, you know when to trust AI’s guidance, when to verify it, and how to make the final analytical decisions yourself.

CompTIA Data+ Exam Prep Module (20 hours): This module provides you with multiple realistic CompTIA Data+ practice exams to prepare you for certification success.

Program Syllabus

We invite you to look at our training program syllabus but we need to explain how it is different from other syllabi you might have or will look at.

While all syllabi show you what is taught in the training, our syllabus shows you both what you are taught and what you are required to make use of yourself. To an employer, this means that you have actually mastered each of the topics covered. Click here to access the syllabus and use the links in the table of contents to see a list of the topics that you will be required to master.

Get More Information

To talk with one of our product specialists about this program, schedule a call below, fill in the Get-In-Touch form, or simply use the CHAT BOX at the bottom right of this screen.

What Our Learners 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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Accelerate your career and create a better life ahead.

There will never be a better time to start your training.

 

 

 

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