Learning Outcomes

In this free course, you will learn how to:

• Define data and its importance
• Explain why data analytics is important in today's business environment
• Explain the relationship between statistics, analytics and data science
• Describe the different levels of data analytics
• Discuss why python is used in data analytics
• Describe how to install python and the fundamentals of python programming
• Explain the concept of data visualization
• Explain the measure of central tendency and dispersion
• Describe variance and standard deviation of grouped data
• Discuss the major types of data analytics
• Explain how data helps in the understanding of the consumer market