CompTIA
CompTIA DataAI Certification
Deepen your vendor-neutral data science and AI expertise.
5 daysIntermediate1 modules
About this course
Deepen your vendor-neutral data science and AI expertise. You will work through the data science lifecycle, frame business problems, collect and clean data, apply statistical methods and machine learning models, explore deep learning concepts and make justified model recommendations, preparing for CompTIA DataAI.
What you'll learn
- Understand and implement data science operations and processes.
- Apply mathematical and statistical methods appropriately and understand the importance of data processing and cleaning, statistical modeling, linear algebra and calculus concepts.
- Apply machine learning models and understand deep learning concepts.
- Utilize appropriate analysis and modeling methods and make justified model recommendations.
- Demonstrate understanding of industry trends and specialized data science applications.
Curriculum
1 modules
- 1.0- Illustrating the Data Science Lifecycle
- 2.0- Analyzing Business Problems
- 3.0- Collecting Data
- 4.0- Cleaning and Preparing Data
- 5.0- Describing Data Features
- 6.0- Exploring Data
- 7.0- Navigating the Model Selection Process
- 8.0- Employing Machine Learning Methods
- 9.0- Experimenting with Deep Learning
- 10.0- Evaluating and Refining Data Models
- 11.0- Communicating for Business Impact
- 12.0- Deploying Data Models
- 13.0- Discovering Specialized Data Science Applications
- A.0- CompTIA DataAI DY0-001 Practice Test
Who it's for
Experienced data analysts and scientists validating advanced skills.
Before you start
- Having a minimum of five years of hands-on experience as a data scientist or the equivalent knowledge is strongly recommended.
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