Learning Outcomes

In this free course, you will learn how to:

• Define ‘data science’ and lay out its essential components
• Compare data science and ‘Business Intelligence’ (BI)
• Recognize various real-world applications of data science
• Analyze the relationship between machine learning and data science
• Discuss various types of workflow frameworks used in data science
• Distinguish between data visualization, data exploration and data preparation
• Define ‘machine learning’ and explain how this technology works
• Analyze common machine learning methods and algorithms
• Explain how to create efficient machine learning outflows
• Discuss the process of ‘clustering’ in machine learning
• Describe deep learning technology and its relation to neural networks