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This course introduces students to the fundamental concepts and application of data analytics. Topics include data types and data structures, data manipulation techniques, statistical data analysis methods, best practices in data visualization, and ethical practices in data analytics. This course serves as a strong entry point into the field of analytics, as it aims to prepare students for the Certiport IT Specialist Data Analytics certification and for a future career in data analytics.
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Duration
40h (Online)
Objectives
Upon completion of the course, students will be able to:
- Understand the fundamentals of data.
- Acquire data manipulation skills.
- Apply analysis methods to extract information.
- Communicate results effectively.
Program
- Module 1: Data Fundamentals
- Define the concept of data and the basic types of variables
- Structures used in data analytics and data categories.
- Module 2: Data Manipulation.
- Import, store, and export data.
- Data cleansing.
- Organize data.
- Add data.
- Module 3: Data Analysis.
- Different types of data analysis.
- Aggregation and metrics.
- Methods of exploratory data analysis.
- Data analysis results.
- AI in data analysis.
- Module 4: Data Visualization and Communication.
- Prepare reports with data.
- Create visualizations from data.
- Draw conclusions.
- Module 5: Responsible Analytics Practices.
- Privacy laws and best practices.
- Responsible data processing.
- Bias.
