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DataX Complete Bundle with Voucher Plus Retake Assurance
Course Description
Overview
CompTIA DataX is important because it validates expert-level data science skills regardless of vendor tools. It equips professionals to interpret and visualize data effectively, meeting the growing demand for data-driven decision-making across industries with globally recognized credibility.CompTIA DataX is the premier skills development program for highly experienced professionals seeking to validate competency in the rapidly evolving field of data science.
Prepare for your DataX (V1) certification with access to the DataX Complete Bundle with Voucher Plus Retake Assurance. This complete learning solution equips you with the knowledge and exam prep tools needed to master DataX (V1) concepts and pass your certification exam.
What's included:
- Voucher Plus Retake Assurance
- CertMaster Perform
All included products must be redeemed within 12 months of purchase.
Key benefits:
- Comprehensive preparation: Master DataX objectives with lessons and practice tools.
- Interactive learning: Engage with videos, quizzes, and lab activities.
- Extensive practice: Access hundreds of questions, assessments, and timed practice tests to reinforce your knowledge.
- Gradable assessments: Track your progress with actionable feedback from practice tools.
- Exam attempt with retake assurance: Take your exam confidently, knowing you’re covered to retake it if needed.
- Year-long access: Study anytime with 12 months of training, redeemable within 12 months of purchase, through CompTIA Central.
- Easy voucher redemption: Redeem and schedule your exam at CompTIA Central.
Objectives
- Statistical methods: applying t-tests, chi-squared tests, analysis of variance (ANOVA), hypothesis testing, regression metrics, gini index, entropy, p-value, receiver operating characteristic/area under the curve (ROC/AUC), akaike information criterion/bayesian information criterion (AIC/BIC), and confusion matrix.
- Probability and modeling: explaining distributions, skewness, kurtosis, heteroskedasticity, probability density function (PDF), probability mass function (PMF), cumulative distribution function (CDF), missingness, oversampling, and stratification.
- Linear algebra and calculus: understanding rank, eigenvalues, matrix operations, distance metrics, partial derivatives, chain rule, and logarithms.
- Temporal models: comparing time series, survival analysis, and causal inference.
- EDA methods: using exploratory data analysis (EDA) techniques like univariate and multivariate analysis, charts, graphs, and feature identification.
- Data issues: analyzing sparse data, non-linearity, seasonality, granularity, and outliers.
- Data enrichment: applying feature engineering, scaling, geocoding, and data transformation.
- Model iteration: conducting design, evaluation, selection, and validation.
- Results communication: creating visualizations, selecting data, avoiding deceptive charts, and ensuring accessibility.
- Supervised learning: applying linear regression, logistic regression, k-nearest neighbors (KNN), naive bayes, and association rules.
- Unsupervised learning: explaining clustering, dimensionality reduction, and singular value decomposition (SVD).
- Optimization: comparing constrained and unconstrained optimization.
- NLP concepts: explaining natural language processing (NLP) techniques like tokenization, embeddings, term frequency-inverse document frequency (TF-IDF), topic modeling, and NLP applications.
- Computer vision: explaining optical character recognition (OCR), object detection, tracking, and data augmentation.
Audience
Topics
- Mathematics and statistics
- Modeling, analysis, and outcomes
- Machine learning
- Operations and processes
- Specialized applications of data science
Related Courses
-
CompTIA DataX (Preparation for Exam DY0-001)
COMP-290- Duration: 4 Days
- Delivery Format: Classroom Training, Online Training
- Price: 1,960.00 USD
Self-Paced Training Info
Learn at your own pace with anytime, anywhere training
- Same in-demand topics as instructor-led public and private classes.
- Standalone learning or supplemental reinforcement.
- e-Learning content varies by course and technology.
- View the Self-Paced version of this outline and what is included in the SPVC course.
- Learn more about e-Learning
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Self-Paced Training Terms & Conditions
ONCE YOU ARE ENROLLED IN THIS COURSE YOU WILL NOT BE ABLE TO CANCEL YOUR ENROLLMENT. You are billed for the course when you submit the enrollment form. Self-Paced Virtual Classes are non-refundable. Once you purchase a Self-Paced Virtual Class, you will be charged the full price.
This is a CompTIA Self-Paced virtual class; it is intended for students who do not need the support of a classroom instructor. If you feel you would better benefit from having access to a Subject Matter Expert, please check to see if an Instructor-Led version is available.
- Students will receive an access code within 1-3 business days.
- If purchasing a self-paced course for multiple students, the purchaser will receive the access codes and must distribute them individually to the students.
- Students have access to the course 24/7 and will need to read and follow all instructions carefully to complete the course successfully within their allotted time.
'eBooks are delivered through the Official CompTIA Self-Paced Study Guide eReader. This platform gives browser-based access to the full content with bookmarking, search, and annotation features. You will receive an access key and full instructions for accessing the platform.
Access keys must be redeemed within 12 months of purchase.Once redeemed, eBook access will be valid for 12 months.
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