Training Success Elements
- Hundreds of AI-mentored mini projects build your competency and confidence and give you a feeling of accomplishment.
- Realtime AI-based contextual assistance is available, whenever needed.
- You get personal academic advice and instructional support throughout your training.
- You never miss training sessions because of family and work responsibilities.
- You are fully qualified and job-ready, when you graduate.
Overview of Training
This mini-credential training program is designed for you, if you are new to Data Analytics and have determined that you want to become a Data Analyst. The training provides you with enough practice and theoretical knowledge to make you job-ready and, upon completing the training, you are ready to start a successful new career as a Data Analyst.
This mini-credential training program is also designed for you if you are already a Data Analyst and want to further develop your Data Analyst skills. The training provides you with enough practice and theoretical knowledge to make you a subject matter expert in Data Analytics.
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 your 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 teaching platform also teaches you established best practices, methodologies, and guidelines that professionals follow to ensure consistency, accuracy, and reliability in their 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 oversees your progress 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 Analytics mini-credential training program takes approximately 160 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 training with comprehensive 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.
You learn basic and advanced spreadsheet operations using Google Sheets. You also learn the fundamentals of data mining, statistical methods, data analysis, and data visualization. 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.
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.
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.
Developing Soft Skills
At the same time as you develop Data Analyst (hard) skills, during your academic advisor sessions and during your communications with your instructional support team you also 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.
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.
What Our Trainees Say About Us
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