Overview of Training

This gold star training program is designed for you, if you are determined to become a skilled Data Analyst. It provides you with enough practice and theoretical knowledge to make you job-ready when you graduate. It also teaches you the soft skills that employers look for in job applicants. Upon completing the training, you are ready to start a successful new career as a Data Analyst.

Data Analytics can’t be learned in a few weeks by passively watching video tutorials and doing unassisted assignments. It’s 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.

Throughout you learning, you are assisted by a powerful Artificial Intelligence-based teaching platform that watches your every step, grading your work in real time, and helping you with contextual information, hints, and templates, as needed. The AI-based platform also teaches you established best practices, methodologies, and guidelines that you need to follow to ensure consistency, accuracy, and reliability in your work.

You learn actively from Day 1. After gaining confidence in one topic, you move to the next one. The progression has been improved and tuned for many years and it is so smooth that you never get lost and you 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 you with the coursework when needed. You are assigned a personal academic advisor who prepares a personalized roadmap and training timeline with 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 academic advisor that does not interfere with your work and family commitments.

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, you must know some math. If, in consultation with your academic advisor, it is determined that you need a basic middle school level math refresher, our optional 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. The course includes several ACT WorkKeys Applied Math practice exams. After completing this course, you are ready to take the ACT WorkKeys Applied Math exam, which is highly valued by employers.

With an appropriate math foundation in place, you begin your Data Analyst training with comprehensive data literacy 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.

You learn basic and advanced spreadsheet operations using Google Sheets. You also learn the fundamentals of data visualization, statistical methods, data analysis, and data mining. Finally, you learn how to create interactive dashboards and reports. Upon completing this course, you understand how data is acquired, stored, manipulated, analyzed, presented, and used to make better business decisions.

You continue your Data Analyst training with an SQL Fundamentals course, 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 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 you 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 you for the CompTIA's Data+ exam, an industry-recognized certification, which adds a significant weight to your resume.

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

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 how the various topics that you will be expected to master.

Advanced Data Analyst Training

Upon completing the Data Analyst Training, you can either get a job as a Data Analyst or continue by taking a follow-up Advanced Data Analyst training program that makes you a job-ready Python Data Analyst. 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 you develop Data Analyst (hard) skills, you also develop soft skills during your academic advice sessions and during your communications with your instructional support team that employers put a major emphasis on. These include professional communication, attention to detail, time management, critical and logical thinking, problem solving, perseverance, and adaptability, among others.

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

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

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.

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

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