Skill

Assess your Data Science Knowledge Gaps for DataX

with Jonathan Barrios

Join Jonathan Barrios as we figure out how much work it'll take to pass the DataX exam. We'll break down each section of the exam, covering math, stats, machine learning and specialized applications for data science and figure out if we're ready to pass.

Recommended Experience

Familiarity with basic data analysis concepts like working with datasets
Knowledge of mathematics and statistics, especially probability and basic algebra
Experience with data science tools or programming languages like Python or R would be helpful

Related certifications

DataX

Related Job Functions

Data Analyst
Data Scientist
Machine Learning Specialist

Jeff Kish has over 15 years of IT experience, focusing mainly on core infrastructure and data center technologies. He holds a number of Cisco certifications, including CCIEs in Routing and Switching and Data Center. He also focuses on network programmability and software-defined networking.

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Skill Outline

1. Introduction (2:55)
2. Domain 1: Math & Statistics (1:53)
3. Domain 2: Modeling, Analysis & Outcomes (0:49)
4. Domain 4.0: Operations & Processes (2:26)
5. Domain 5.0: Specialized Applications of Data Science (1:40)

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