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21 96 61 82
CompTIA - 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.
Four reasons why you should sit your course with Firebrand Training
- You'll be trained and certified faster. Learn more on this 2-day accelerated course. You'll get at least 12 hours a day of quality learning time in a distraction-free environment
- Your course is all-inclusive. One simple price covers all course materials, exams, accommodation and meals – so you can focus on learning
- Pass first time or train again for free. Your expert instructor will deliver our unique accelerated learning methods, allowing you to learn faster and be in the best possible position to pass first time. In the unlikely event that you don't, it's covered by your Certification Guarantee
- Study with an award-winning training provider. We've won the Learning and Performance Institute's "Training Company of the Year" three times. Firebrand is your fastest way to learn, with 134.561 students saving more than one million hours since 2001
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.
Are you ready to get certified in record time?
We interview all applicants for the course on their technical background, degrees and certifications held, and general suitability. If you get through this screening process, it means you stand a great chance of passing.
Firebrand Training is an immersive training environment. You must be committed to the course. The above prerequisites are guidelines, but many students with less experience have other background or traits that have enabled their success in accelerated training through Firebrand Training.
If you have any doubts as to whether you meet the pre-requisites please call 21 96 61 82 and speak to one of our enrolment consultants, who can help you with a training plan.
Reviews
We've currently trained 134.561 students in 12 years. We asked them all to review our Accelerated Learning. Currently,
95,77% have said Firebrand exceeded their expectations:
"Very good Resources within the E-Book, Mixed with the Lessons, it is also has good Labs to get hands on Practice and put the theory somewhere practical to get full learning experience, with very high standard explanation throughout the lectures. 10/10!"
Rhys Thomas, Nokia. (7/5/2024 (Tuesday) to 10/5/2024 (Friday))
"All the staff are very attentive. A fantastic instructor that was able to answer all questions whilst keeping the sessions informative."
Ash Petch, Cepac. (7/5/2024 (Tuesday) to 10/5/2024 (Friday))
"My experience at Firebrand was brilliant. The people here are nice and approachable among the other apprentices of whom also are very nice and made great friends here too! I am looking forward to my next 2 trips here!"
Lewis Vick, Computacenter. (7/5/2024 (Tuesday) to 10/5/2024 (Friday))
"Good course lecturer. It was good to go over the whole content of Server+ and hear relevant examples."
Anonymous. (7/5/2024 (Tuesday) to 10/5/2024 (Friday))
"It was lovely being here as there was lots of new learning"
Imran Riaz, Watford Boys Grammar School. (7/5/2024 (Tuesday) to 10/5/2024 (Friday))
Course Dates
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27/5/2024 (Monday) |
28/5/2024 (Tuesday) |
Finished - Leave feedback |
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30/9/2024 (Monday) |
1/10/2024 (Tuesday) |
Wait list |
Nationwide |
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11/11/2024 (Monday) |
12/11/2024 (Tuesday) |
Limited availability |
Nationwide |
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3/2/2025 (Monday) |
4/2/2025 (Tuesday) |
Open |
Nationwide |
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17/3/2025 (Monday) |
18/3/2025 (Tuesday) |
Open |
Nationwide |
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