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CompTIA DataAI (DY0-001)

<p>This entry-level CompTIA DataX (DY0-001) training prepares junior data scientists to support data-driven business decision-making with skills related to creating visualizations, applying appropriate statistical methods, and mining data.</p><p>The DataX certification from CompTIA is a perfect way to prove to employers that you understand data analysis, can perform advanced data manipulation, and that you're not just 'pretty good with Excel'.</p><p>If you want to stand out as a data professional, earning the DataX is one of the best ways to prove you have a handle on data skills that aren't tied to a certain piece of software or a certain method of analysis. This course doesn't just teach you what's on the test, but it helps you practice with real-world data in simulated environments.</p><p>After finishing this CompTIA training, you'll know how to support data-driven business decision-making with skills related to creating visualizations, applying appropriate statistical methods, and mining data.</p><p>For anyone who manages junior data scientists, this CompTIA training can be used to onboard new junior data scientists, curated into individual or team training plans, or as a CompTIA reference resource.</p>

Updated July 2025

38Skills
325Videos
32h 27mTotal
325 videos

Who This Course Is For

<p>This CompTIA DataX (DY0-001) training is considered associate-level CompTIA training, which means it was designed for junior data scientists. This statistics, modeling, and machine learning skills course is valuable for new IT professionals with at least a year of experience with data science and experienced junior data scientists looking to validate their CompTIA skills.</p><p><b>New or aspiring junior data scientists.</b> For someone who's trying to get started in data analysis or data science, a certification like DataX is perfect: without getting too deep in the weeds on any particular skill, it covers all the major skills and knowledge a data professional needs to have. This course is designed to prepare for the course by actually practicing the skills.</p><p><b>Experienced junior data scientists.</b> If you've already been working as a data scientist, you should think about earning the DataX as a way of proving what those years of experience have meant. Earning the DataX before going on to other certs or more advanced jobs proves to employers you've got a thorough foundation of understanding and a real-world ability to put the skills to use.</p>

Course Curriculum

  • Premium skill.Explore Data Science and Resources for DataX51m
  • Premium skill.Assess your Data Science Knowledge Gaps for DataX44m
  • Premium skill.Explore Data Science Tools and Lifecycles46m
  • Premium skill.Examine Data Science Code Syntax and Workflows46m
  • Premium skill.Review Best Practices, Composition, & Requirements47m
  • Premium skill.Explore Change Using Calculus for Data Science45m
  • Premium skill.Apply Probability & Statistics for Data Science46m
  • Premium skill.Perform Statistical Testing for Data Science55m
  • Premium skill.Apply Linear Algebra to Data Science Problems49m
  • Premium skill.Examine Key Data Sources for Data Science45m
  • Premium skill.Explore Data Ingestion & Storage for Data Science45m
  • Premium skill.Explore Data Analysis & Variables for Data Science49m
  • Premium skill.Explore Multivariate Analysis and Quality in DS44m
  • Premium skill.Explore Data Transformation for Data Science53m
  • Premium skill.Augment and Feature Engineer Data for Data Science1h 4m
  • Premium skill.Explore Statistical and Machine Learning Models1h 5m
  • Premium skill.Validate Models and Communicate Data Effectively1h 4m
  • Premium skill.Analyze Model Deployment and MLOps1h 3m
  • Premium skill.Build a Supervised Learning Regression Model48m
  • Premium skill.Build a Supervised Learning Classification Model48m
  • Premium skill.Explore Quadratic and Linear Discriminant Analysis45m
  • Premium skill.Classify Data with the Naive Bayes Algorithm48m
  • Premium skill.Explore Decision Trees and Ensemble Methods1h 8m
  • Premium skill.Analyze Core Artificial Neural Network Concepts1h 1m
  • Premium skill.Explore ANN Training Techniques & Gradient Descent50m
  • Premium skill.Apply Neural Network Concepts to Deep Learning58m
  • Premium skill.Compare PyTorch and TensorFlow for Deep Learning47m
  • Premium skill.Explore Natural Language Processing (NLP) Concepts46m
  • Premium skill.Explore Tokenization, Gen AI, and LLMs in NLP52m
  • Premium skill.Prepare Text for Natural Language Processing51m
  • Premium skill.Use Advanced Text Preparation for Machine Learning49m
  • Premium skill.Apply NLP: One-Hot, BoW, TF-IDF, Word2Vec & GloVe54m
  • Premium skill.Explore Foundations of Optimization47m
  • Premium skill.Compare Linear and Nonlinear Programming Methods48m
  • Premium skill.Explore Specialized Machine Learning Optimization52m
  • Premium skill.Apply Computer Vision for Image Understanding48m
  • Premium skill.Apply Feature Extraction for Image Perception53m
  • Premium skill.Identify Knowledge Gaps with the DataX SkillScan51m

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