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 instructional support 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 career training program consists of 4 or 5 college-level 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 SQL Fundamentals, Advanced SQL, Introduction to Programming, Python Fundamentals, Predictive Data Analytics with Python, an introduction to Tableau and PowerBI, and a Capstone Project.

You begin your training with SQL Fundamentals where you 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. You 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. This course teaches you how to use conditional expressions, work with text including search-and-replace operations, formulate subqueries and advanced joins, and how to use SQL functions.

If you have little or no prior experience in computer programming, you then take Introduction to Computer Programming . This powerful visual course transforms the way you think. In computer programming, correct algorithmic (computational) thinking is essential. This course unlocks your computer programming potential and makes it much easier for you to learn Python.

The next course in the Data Analyst Career Training Program is Python Fundamentals which is an introductory Python programming course where you learn in a hands-on fashion by solving programming tasks of gradually increasing complexity, ranging from simple calculations, working with text strings, loops, conditions, and variables, to file operations and data visualization.

The last course in the sequence is Predictive Data Analytics with Python. In this course you learn 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. At the end of this course, you complete a Capstone Project under the supervision of a senior tutor in order to graduate and obtain a Data Analyst Career Certificate.

Syllabuses

Following are detailed syllabuses for each course in the Data Analyst 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 Data Analyst job openings.

SQL Fundamentals
Skills Learned:
  • RDBMS and SQL
  • Write basic queries
  • Order and filter data
  • Combine multiple conditions
  • Group results
  • Use aggregate functions
  • Create and manage tables
  • Insert and delete data
  • Join tables
Read More
Advanced SQL
Skills Learned:
  • Conditional expressions
  • SQL errors
  • Text operations
  • Search-and-replace
  • Sets, relations, bags
  • Subqueries
  • Advanced joins
  • Functions
  • Data types
Read More
Python Fundamentals
Skills Learned:
  • Calculations with Python
  • Text string operations
  • Loops and conditions
  • Variables and functions
  • Operations with data files
  • Visualization of data
  • Using Python libraries
  • Principles of software design
Read More
Predictive Data Analytics with Python
Skills Learned:
  • Import data from CSV files
  • Work with data frames
  • Clean and manipulate data
  • Visualize and present data
  • Simple linear regression
  • Multiple linear regression
  • Logistic regression
Read More

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.

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.

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.

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.

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 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.

 

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