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
Platform Features
- Expert trainers, not crowd-sourced
- Team reporting & compliance tracking
- Trainerbot in Slack & Mobile
- SSO / SAML integration
