How to study for CompTIA DataX

Prepare for your CompTIA DataX certification exam, train with industry-leading tools, and advance your data science career using these study tips and resources.

8-2 - How To Study for Data X_Blog_ThumbnailData scientists play a critical role in any organization’s operations. They help make business critical decisions through the analysis and interpretation of data. While data science and related roles are on the rise, there are still skills gaps in the industry, even among experienced professionals.  

Training opportunities are not keeping up with this rapidly evolving field, and organizations have taken notice. According to the latest data from CompTIA Career Explorers, data science roles are growing faster than average as compared to other roles, with median annual earnings at $100,000 – 129% higher than median national earnings.  

As a global leader in tech education and certification, CompTIA is excited to introduce its premier data science certification, DataX. This certification was developed with the support of experts in the field to help support highly skilled professionals looking to advance in their careers.

What is CompTIA DataX?

This advanced level certification provides you with a pathway to validate your expert-level skills, while equipping you with the knowledge to resolve any existing skills gaps you may have.  

DataX gives you access to a comprehensive curriculum which covers concepts ranging from the foundations of machine learning to more specialized data science applications. 

With a DataX certification, you’ll be prepared to pursue roles including:  

  • Data scientist  

  • Quantitative analyst 

  • Computer and Information research scientist  

  • Machine learning engineer or specialist 

If you are ready to take the next step in your professional career, CompTIA DataX is a strong place to start. Before you take this next step, however, it’s crucial that you create a plan of action that will prepare you for success.  

Your step-by-step study plan for CompTIA DataX

Knowing how to study for an exam is a skill that many people struggle with, and if that feels like you, you are not alone. As you prepare for your CompTIA DataX certification exam, it’s important that you put together an actionable study plan. When you create a study plan, you’ll gain the knowledge and build the confidence you need to sit for your DataX exam. Follow these steps to create an effective study plan. 

Step 1: Know what to expect

Deciding to pursue CompTIA DataX is exciting because you’ll equip yourself with expert-level skills that can help you advance in your data science career. Your journey to DataX certification should start with a strong study plan.  

To start creating your study plan, you’ll need to know what it is you are studying for, how you will be assessed, and what training tools will best prepare you.  

Below are some common questions you probably have and should know the answer to as you create your study plan.  

  • “Do I meet the prerequisites for this certification?” – There are no official prerequisites for CompTIA DataX. However, you should have at least 5 years of experience in a data science or a related role. The best candidates are highly experienced professionals who are looking to fill knowledge gaps and stay up to date on emerging tools and technology in the rapidly evolving field of data science.  

  • “What is on the exam?” – The DataX exam delves into advanced-level data tools and concepts and covers a wide range of topics including mathematics and statistics, machine learning, operations and processes, and specialized applications of data science.  

  • “How many questions are on the exam?” – The DataX exam includes a maximum of 90 questions with a mix of multiple-choice and performance-based questions.  

  • “How do I learn best?” – Not everyone prefers to learn in the same way. Some people learn best in a self-paced eLearning environment while others learn best by using a traditional study guide. For many learners, tapping into a mix of tools is the best way to prepare for a certification exam. CompTIA’s CertMaster Perform is a comprehensive learning tool that allows you to engage with data concepts and tools in a variety of ways so that you can find the method that best suits your learning style. You can build confidence in yourself through interactive learning with practice performance-based questions. You’ll also be supported through 100 self-assessments, and progress analytics and reporting tools that help you discover your strengths and weaknesses.  

Unsure about what topics to study for? No problem. Download the DataX Certification Exam Objectives Guide to explore exactly what will be on the certification exam. The exam objectives are divided into weighted domains. The CompTIA DataX certification exam domains, plus their weights are as follows:  

  • Mathematics and Statistics (17%)   

  • Modeling, Analysis, and Outcomes (24%)  

  • Machine Learning (24%)   

  • Operations and Processes (22%)  

  • Specialized Applications of Data Science (13%) 

Step 2: Identify your knowledge gaps

As a highly experienced professional, you already have a strong foundation in data science tools, technologies, and concepts. But as data management tools and technologies evolve, your data skills should too.  

It’s important to recognize that with this evolution, there are knowledge gaps you’ll need to be able to identify and resolve. This is often one of the first hurdles you’ll come across as you start preparing for your exam. You don't know what you don't know and CompTIA's CertMaster Perform is the best training solution to help you identify and resolve those knowledge gaps. 

CertMaster Perform offers a modern eLearning environment where you’ll have access to narrative-style videos that go over key concepts and processes in an easy-to-follow manner. You’ll also have access to 100 self-assessments where you can review and practice your data science knowledge.  

As you work your way through the modules and lessons, you’ll be supported by learning progress analytics and reporting tools which can help you identify your learning gaps. This diagnostic tool gives you a clear sense of which concepts you've mastered, the concepts you’re still struggling with, and the concepts you should continue practicing.   

Step 3: Practice your skills and get hands-on experience

It’s not enough to just know about data science concepts and technologies, you should also have experience applying these concepts and using relevant tools. Through CertMaster Perform, you’ll have opportunities to practice what you've learned using live labs and performance-based questions.  

Apply what you’ve learned, make mistakes applying the concepts or using relevant tools, and learn from those mistakes through the multiple live labs. It’s this type of engagement with the content that will solidify your learning, allowing you to better retain the knowledge and build confidence in your skills.  

Step 4: Plan for exam day

Testing jitters, nervousness, or exam anxiety – whatever you choose to call it, we understand. For most people, the thought of sitting through any exam can feel overwhelming. You can help take some of the pressure off by employing the following tactics on the final days leading up to your exam.  

  • Get a good night’s rest before your exam – Get a full eight hours of rest so you can start your day feeling refreshed 

  • Eat a healthy breakfast – Fuel your mind with a healthy balance of protein, fruits, and veggies the morning of your exam 

  • Learn relaxation techniques – Practice mindfulness techniques, take deep breaths, and envision a positive outcome both before and during your exam 

  • Believe in yourself – You've worked hard preparing for your certification exam. Have confidence in your abilities and your new skill set 

Ready to start your training but not sure how to start? You have what it takes to pursue an exciting career in data science. Begin mapping your path to success when you use our study plan. Download our free worksheet, create your personalized learning plan, and take the next step toward your career in data.

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