Training Success Elements

  • Pre-enrollment assessment identifies the right candidates for the training program.
  • Hundreds of AI-mentored mini projects build competency and confidence.
  • Realtime AI-based contextual assistance is available, whenever needed.
  • Trainees never miss training sessions because of family and work responsibilities.
  • Trainees are Data Analytics Subject Matter Experts, at graduation.

Data Analytics’ Role In Enterprises

Data Analytics has become a critical enterprise-level competency that is needed across all departments, due to its ability to provide actionable insights, improve decision-making, enhance efficiency, and drive innovation. Some of the places where Data Analytics skills are essential include:

Decision-Making
Operational Efficiency
Competitive Advantage
Customer Insights
Financial Performance
Strategic Planning
Long-Term Planning
Regulatory Compliance
Talent Management
Supply Chain Management

Training Overview

This cornerstone training program is designed to produce Data Analytics Subject Matter Experts.

Data Analytics can’t be learned in a few weeks by passively watching video tutorials and then doing unassisted assignments. It is an advanced skill set which can only be mastered with a significant amount of closely supervised practice. NCLab’s proven training method is called Instructor-Assisted Learning By Doing. Trainees learn actively from Day 1. After gaining confidence in one topic, they move to the next one. The progression has been improved and tuned for many years, and it is so smooth that they never get lost. And, they are never alone. Our highly responsive instructional support team composed of professional Data Analysts, college instructors, and former NCLab trainees stands by to promptly assist them with the coursework when needed.

The entire Data Analyst career training program takes approximately 320 hands-on hours. 

Coursework

To begin with, given that Data Analysts work extensively with numbers, they must know some math. If, in consultation, it is determined that enrollees need a basic middle school level math refresher, our optional Workplace Math course provides hands-on review and practice to bring them 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. The course includes several ACT WorkKeys Applied Math practice exams. After completing this course, they are ready to take the ACT WorkKeys Applied Math exam, which is highly valued by employers.

With an appropriate math foundation in place, they begin their Data Analyst training with comprehensive college-level data analytics courses, in which you learn all about:

  • Data sources
  • Data types
  • Data relationships
  • Data structures
  • Sorting, filtering and grouping, data and
  • Other fundamental techniques of Data Analytics.

They learn basic and advanced spreadsheet operations, including data visualization and analytics, using Google Sheets. They learn how to create interactive dashboards and reports. They also learn the fundamentals of data mining, statistical methods, data analysis, and data visualization. Finally, they learn about data governance, quality, and controls. Upon completing this course, they understand how data is acquired, stored, manipulated, analyzed, and used to make better business decisions.

They continue their training with an SQL Fundamentals course where they 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. They learn how RDBMSs work, how to make basic queries, how to do extracts, how to use aggregate functions, how to 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 trainees how to use conditional expressions, how to work with text including search-and-replace operations, how to formulate subqueries and advanced joins, and how to define and use SQL functions.

The last course is CompTIA Data+ Prep which prepares trainees for the CompTIA’s Data+ exam, an industry-recognized certification.

Finally, trainees do a capstone project, which is a hands-on project where they conduct queries. All queries are conducted in a relational database system and a suitable editor that individual trainees choose and install on their personal computer. They write and execute queries to clean and group data and obtain descriptive statistics of the data and create visualizations of their choice.

Program Syllabus

We invite you to look at the 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 trainees are taught and what they are required to make use of themselves. To you, this means that your employees taking the training 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 how the various topics that trainees are required to master.

Advanced Data Analyst Training

Upon completing the Data Analytics training, graduates can continue by taking a follow-up Advanced Data Analyst training program that makes them Python Data Analysts. This program includes an optional Introduction To Programming course for trainees who have no prior experience with computer programming, a Python Fundamentals course, a full complement of Python topics, and a Capstone Project. More information is available upon request.

Developing Soft Skills

At the same time as trainees develop Data Analytics hard skills, we provide optional added cost coaching, during which trainees develop soft skills that employers put a major emphasis on. These include professional communication, time management, critical and logical thinking, problem solving, perseverance, and adaptability, among others.

You are assigned a coach who prepares a personalized roadmap and training timeline for you, and then works with you for the entire duration of the training. Because your training is self-paced and individualized to your schedule, you are able to build a consistent training routine with your coach that does not interfere with your work and family commitments.

Experience NCLab’s Learn-By-Doing — You’ll Love It.

Click here to see how NCLab’s AI-based teaching platform is with trainees throughout their training, helping them do mini projects in realtime and providing them a feeling of accomplishment as they complete each mini project.

 

Get More Information

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