John Wiley & Sons

CompTIA DataX Study Guide Specialization

John Wiley & Sons

CompTIA DataX Study Guide Specialization

Prepare for CompTIA DY0-001 Exam.

Master foundational data science skills, statistics, and machine learning for career growth

Access provided by BNP Paribas Cardif 1

Get in-depth knowledge of a subject
Beginner level

Recommended experience

4 weeks to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
Get in-depth knowledge of a subject
Beginner level

Recommended experience

4 weeks to complete
at 10 hours a week
Flexible schedule
Learn at your own pace

What you'll learn

  • Understand foundational data science concepts and their real-world applications

  • Apply statistical methods to analyze and interpret datasets for informed decision-making

  • Implement data ingestion, preparation, and storage techniques for machine learning and analytics

Details to know

Shareable certificate

Add to your LinkedIn profile

Taught in English
Recently updated!

April 2026

See how employees at top companies are mastering in-demand skills

 logos of Petrobras, TATA, Danone, Capgemini, P&G and L'Oreal

Advance your subject-matter expertise

  • Learn in-demand skills from university and industry experts
  • Master a subject or tool with hands-on projects
  • Develop a deep understanding of key concepts
  • Earn a career certificate from John Wiley & Sons

Specialization - 3 course series

Foundations of Data Science and Statistical Methods

Foundations of Data Science and Statistical Methods

Course 1, 8 hours

What you'll learn

  • Understand the fundamental concepts, workflows, and real-world applications of data science.

  • Apply basic statistical methods to analyze and interpret datasets effectively.

  • Implement data collection, ingestion, and storage techniques for structured data management.

Skills you'll gain

Category: Exploratory Data Analysis
Category: Statistics
Category: Statistical Methods
Category: Data Pipelines
Category: Data Collection
Category: Data Science
Category: Data Analysis
Category: Data-Driven Decision-Making
Category: Linear Algebra
Category: Statistical Machine Learning
Category: Data Quality
Category: Statistical Analysis
Category: Machine Learning
Category: Data Management
Category: Calculus
Category: Data Storage
Category: Probability Distribution

What you'll learn

  • Prepare and transform datasets using data cleaning and preprocessing techniques

  • Build and evaluate machine learning models using appropriate metrics

  • Apply model validation methods to improve prediction reliability

Skills you'll gain

Category: Unsupervised Learning
Category: Applied Machine Learning
Category: Data Preprocessing
Category: Machine Learning
Category: Model Optimization
Category: Model Training
Category: Model Evaluation
Category: Technical Communication
Category: Data Transformation
Category: Predictive Modeling
Category: Model Deployment
Category: Artificial Neural Networks
Category: Supervised Learning
Category: Data Processing
Category: MLOps (Machine Learning Operations)
Category: Data Cleansing
Category: Data Analysis
Category: Data Science
Advanced Machine Learning, Neural Networks, and NLP

Advanced Machine Learning, Neural Networks, and NLP

Course 3, 5 hours

What you'll learn

  • Master advanced supervised machine learning techniques such as regression, decision trees, and ensemble methods.

  • Understand neural network architectures and deep learning techniques for complex problem-solving.

  • Explore NLP techniques like tokenization, sentiment analysis, and word embeddings for text data processing.

Skills you'll gain

Category: Computer Vision
Category: Model Optimization
Category: Data Science
Category: Artificial Neural Networks
Category: Applied Machine Learning
Category: Image Analysis
Category: Decision Tree Learning
Category: Natural Language Processing
Category: Machine Learning
Category: Data Processing
Category: Text Mining
Category: Logistic Regression
Category: Machine Learning Methods
Category: Machine Learning Algorithms
Category: Advanced Analytics
Category: Deep Learning
Category: Statistical Machine Learning
Category: Convolutional Neural Networks
Category: Supervised Learning
Category: Artificial Intelligence and Machine Learning (AI/ML)

Earn a career certificate

Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.

Instructor

Wiley-Expert Edge Course Instructors
John Wiley & Sons
57 Courses2,990 learners

Offered by

Why people choose Coursera for their career

Felipe M.

Learner since 2018
"To be able to take courses at my own pace and rhythm has been an amazing experience. I can learn whenever it fits my schedule and mood."

Jennifer J.

Learner since 2020
"I directly applied the concepts and skills I learned from my courses to an exciting new project at work."

Larry W.

Learner since 2021
"When I need courses on topics that my university doesn't offer, Coursera is one of the best places to go."

Chaitanya A.

"Learning isn't just about being better at your job: it's so much more than that. Coursera allows me to learn without limits."