IT Specialist – Data Analytics

Candidates for this exam are seeking to prove introductory knowledge of how to
responsibly manipulate, analyze, and communicate findings of data analysis

1. Data Basics

1.1 Define the concept of data science

1.2 Describe basic data variable types

1.3 Describe basic structures used in data analytics

1.4 Gather data and categorize data

2. Data Manipulation

2.1 Import, store, and export data

2.2 Clean data using SQL, R, Python, and Excel

2.3 Organize data using SQL, R, Python, and Excel

2.4 Aggregate data using SQL, R, Python, and Excel

3. Data Analysis

3.1 Describe and differentiate between types of data analysis

3.2 Describe and differentiate between data aggregation and
interpretation metrics

3.3 Describe and differentiate between exploratory data analysis
methods

3.4 Evaluate and explain the results of data analyses

3.5 Define and describe the role of artificial intelligence in data analysis

4. Data Visualization and Communication

4.1 Report data

4.2 Create visualizations from data

4.3 Derive conclusions from a data visualization

5. Responsible Analytics Practices

5.1 Describe data privacy laws and best practices

5.2 Describe best practices for responsible data handling

5.3 Given a scenario, describe types of bias that affect collection and
interpretation of data