Part of the BPP Education Group
+44 207 907 1120CompTIA - DataX
Overview
This accelerated CompTIA: CompTIA DataX course is the premier skills development certification for highly experienced professionals seeking to validate competency in the rapidly evolving field of data science.
On this course you will be able to validate expert-level data science skills regardless of vendor tools.
DataX defines and confirms a consistent skill set appropriate for certified data scientists.
In just 2 days, you’ll also learn:
- Mathematics and Statistics
- How to apply mathematical and statistical methods appropriately and understand the importance of data processing and cleaning, statistical modelling, linear algebra, and calculus concepts.
At the end of this course, you’ll sit the CompTIA exam, and achieve your CompTIA DataX certification. Through Firebrand’s Lecture | Lab | Review methodology, you’ll get certified at twice the speed of the traditional training and get access to courseware, learn from certified instructors, and train in a distraction-free environment.
Audience
This course is ideal for:
- Data Scientist
- Experienced professionals seeking to validate competency in the rapidly evolving field of data science.
Benefits
Seven reasons why you should sit your course with Firebrand Training
- Two options of training. Choose between residential classroom-based, or online courses
- You'll be certified fast. With us, you’ll be trained in record time
- Our course is all-inclusive. A one-off fee covers all course materials, exams**, accommodation* and meals*. No hidden extras.
- Pass the first time or train again for free. This is our guarantee. We’re confident you’ll pass your course the first time. But if not, come back within a year and only pay for accommodation, exams and incidental costs
- You’ll learn more. A day with a traditional training provider generally runs from 9 am – 5 pm, with a nice long break for lunch. With Firebrand Training you’ll get at least 12 hours/day of quality learning time, with your instructor
- You’ll learn faster. Chances are, you’ll have a different learning style to those around you. We combine visual, auditory and tactile styles to deliver the material in a way that ensures you will learn faster and more easily
- You’ll be studying with the best. We’ve been named in the Training Industry’s “Top 20 IT Training Companies of the Year” every year since 2010. As well as winning many more awards, we’ve trained and certified over 135,000 professionals
- * For residential training only. Doesn't apply for online courses
- ** Some exceptions apply. Please refer to the Exam Track or speak with our experts
Curriculum
- Module 1: Modeling, Analysis and Outcomes
- Utilize appropriate analysis and modeling methods and make justified model recommendations.
- Module 2: Machine Learning
- Apply machine learning models and understand deep learning concepts.
- Module 3: Operations and Processes
- Understand and implement data science operations and processes.
- Module 4: Specialized Applications of Data Science
- Demonstrate understanding of industry trends and specialized data science applications.
Exam Track
At the end of this accelerated course, you’ll sit the following exam at the Firebrand Training centre, covered Certification Guarantee:
CompTIA DataX Exam DY0-001
- Duration: 165 Minutes
- Format: Multiple choice and performance-based
- Number of questions: 90 questions
- Passing score: Pass/Fail only (no scaled score)
- Languages: English
What's Included
Your accelerated course includes:
- Accommodation *
- Meals, unlimited snacks, beverages, tea and coffee *
- On-site exams **
- Exam vouchers **
- Practice tests **
- Certification Guarantee ***
- Courseware
- Up-to 12 hours of instructor-led training each day
- 24-hour lab access
- Digital courseware **
- * For residential training only. Accommodation is included from the night before the course starts. This doesn't apply for online courses.
- ** Some exceptions apply. Please refer to the Exam Track or speak with our experts
- *** Pass first time or train again free as many times as it takes, unlimited for 1 year. Just pay for accommodation, exams, and incidental costs.
Prerequisites
Before attending this accelerated course, you should have:
-
No prerequisites, but 5+ years of experience in data science or a similar role is recommended.
Unsure whether you meet the prerequisites? Don’t worry. Your training consultant will discuss your background with you to understand if this course is right for you.
Reviews
Here's the Firebrand Training review section. Since 2001 we've trained exactly 134561 students and asked them all to review our Accelerated Learning. Currently, 96.41% have said Firebrand exceeded their expectations.
Read reviews from recent accelerated courses below or visit Firebrand Stories for written and video interviews from our alumni.
"Had a great time meeting and networking with other people. A great teacher."
Pritpal Hundel, Computacenter. (8/1/2024 (Monday) to 11/1/2024 (Thursday))
"Our instructor was very knowledgeable and delivered the online course well. The labs are great for getting hands-on experience."
Anonymous. (8/1/2024 (Monday) to 11/1/2024 (Thursday))
"Instructor has plenty of anecdotes that help drive home a lot of the points and commit them to memory, also better place them to real world scenarios."
BH, Dudley Building Society. (18/12/2023 (Monday) to 21/12/2023 (Thursday))
"My instructor really helped me to understand the topic we were learning. He was very knowledgeable and broke it down with simple examples to help reinforce the message."
SB, Morgan Sindall. (18/12/2023 (Monday) to 21/12/2023 (Thursday))
"WOULD HIGHLY RECOMMEND FIREBRAND AS A TRAINING PROVIDER!"
Grant Currie, LLOYDS BANKING GROUP PLC. (18/12/2023 (Monday) to 21/12/2023 (Thursday))
Course Dates
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19/2/2024 (Monday) |
20/2/2024 (Tuesday) |
Finished - Leave feedback |
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24/6/2024 (Monday) |
25/6/2024 (Tuesday) |
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5/8/2024 (Monday) |
6/8/2024 (Tuesday) |
Limited availability |
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16/9/2024 (Monday) |
17/9/2024 (Tuesday) |
Open |
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28/10/2024 (Monday) |
29/10/2024 (Tuesday) |
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9/12/2024 (Monday) |
10/12/2024 (Tuesday) |
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