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CertMaster Perform for DataX DY0-001 - Self-Paced

CertMaster Perform for DataX DY0-001 delivers a full-spectrum learning experience across the entire data science lifecycle—from business problem analysis to deploying impactful machine learning models. This hands-on course trains learners in practical data science techniques such as data cleaning, feature engineering, exploratory analysis, model selection, and evaluation using both traditional and deep learning approaches.

Designed to align technical expertise with business value, this program emphasizes real-world applications of data science in decision-making. Learners will also gain critical skills in communicating insights effectively, deploying models into production, and navigating specialized domains within the data science landscape. Whether you're entering the field or expanding your capabilities, this course is your gateway to a career in modern data science.

What is CertMaster Perform?

CertMaster Perform brings together narrative instructional content, videos, performance-based questions (PBQs), skills assessments, live labs and more to offer a learning experience to prepare you for your CompTIA certification exam, validating your expertise in the field of data science. As a data scientist with five or more years of experience, this course recognizes that you don’t need to start from the beginning. Instead, the course is designed to help you identify knowledge gaps and then provide you with learning content to get you up to speed on expert-level topics. Instruction is centered around a learning progression model to help you learn concepts and actively build skills related to the course objectives. This learning methodology uses a series of steps to contextualize the material, elaborate on areas where additional instruction is needed, and provide relevance through practice and customized feedback.

  • Includes lab activities in live environments for hands-on practice
  • Uses technologies such as Jupyter Notebooks, SQL, R, and Python
  • Videos are integrated into the text to provide instruction and illustration at the point where it's the most relevant
     

License Information

  • One CompTIA CertMaster Perform DataX DY0-001 license
  • Once activated, CertMaster Perform DataX DY0-001 is valid for 12 months
  • Access key must be redeemed within 12 months of purchase

How to Access CertMaster Perform

An access key and instructions will be sent via email after your purchase is complete.

You may then login anytime at https://platform.comptia.org/

Course Code: E021

Fee

$1,150.00 (GST-exclusive)
$1,253.50 (GST-inclusive)

Post-Course Support

  • We provide free consultation related to the subject matter after the course.
  • Please email your queries to enquiry@tertiaryinfotech.com and we will forward your queries to the subject matter experts.

Course Cancellation/Reschedule Policy

  • You can register your interest without upfront payment. There is no penalty for withdrawal of the course before the class commerce.
  • We reserve the right to cancel or re-schedule the course due to unforeseen circumstances. If the course is cancelled, we will refund 100% for any paid amount.
  • Note the venue of the training is subject to changes due to availability of the classroom

Course Details

Topics Covered

  • Illustrating the Data Science Lifecycle
  • Analyzing Business Problem
  • Collecting Data
  • Cleaning and Preparing Data
  • Describing Data Features
  • Exploring Data
  • Navigating the Model Selection Process
  • Employing Machine Learning Methods
  • Experimenting with Deep Learning
  • Evaluating and Refining Data Models
  • Communicating for Business Impact
  • Deploying Data Models
  • Discovering Specialized Data Science Applications

Job Roles

  • Data Analyst
  • Junior Data Scientist
  • Machine Learning Engineer
  • AI Analyst
  • Data Science Associate
  • Data Engineer
  • Business Intelligence Analyst
  • Analytics Consultant
  • Quantitative Analyst
  • Research Data Specialist
  • Business Data Strategist
  • Predictive Modeler
  • AI Product Analyst
  • Applied Data Scientist
  • Big Data Analyst
  • Data Quality Specialist
  • Decision Scientist
  • Deep Learning Technician
  • Data Science Project Coordinator
  • Data-Driven Marketing Analyst

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