What You'll Learn
- Understand and apply core data analysis techniques to collect, clean, explore, and interpret real-world datasets with confidence.
- Transform raw data into meaningful insights using exploratory analysis, visualization, and basic statistical reasoning to support decision-making
- Explain how artificial intelligence and machine learning rely on data, including how analytical outputs feed into intelligent systems
- Evaluate data and AI results critically, identifying bias, limitations, and common pitfalls that can lead to incorrect or misleading decisions.
- Use data and AI responsibly by understanding privacy concerns, ethical considerations, and when human judgment should override automation.
- Build a complete data-to-decision mindset, connecting analysis, AI concepts, and business or real-world impact.
Requirements
- Basic computer skills and comfort using common software tools
- Curiosity about data, AI, and decision-making
- A willingness to think critically and practice with examples
Who This Course is For
- Students and fresh graduates who want a strong foundation in data analysis and AI before moving into advanced topics like machine learning or data science.
- Career switchers exploring roles such as data analyst, business analyst, or AI-enabled professional and looking for a practical, low-barrier starting point.
- Business, MBA, and non-technical professionals who work with data and want to better understand analytics and AI without heavy programming or math.
- Professionals in any domain who want to improve decision-making by learning how data insights and AI systems are actually used in practice.
Your Instructor
Data Science Academy
Bridging knowledge to industry with Data & AI education
4.3 Instructor Rating
1,070 Reviews
50,911 Students
24 Courses
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