Foundations: Google Data Analytics Course Week 1 Questions and Answers Graded A+

Foundations: Google Data Analytics Course Week 1 Questions and Answers Graded A+ What is the role of statistical methods in data analytics? Statistical methods are used to identify patterns, relationships, and trends in data, helping to make informed decisions What does it mean to normalize data? Normalizing data adjusts the values to a common scale, making comparisons between different data points easier What is predictive analytics? Predictive analytics uses historical data and statistical algorithms to forecast future trends and outcomes What are the key steps in the data analysis process? Collecting data, cleaning data, analyzing data, interpreting results, and communicating findings 2 What is the difference between qualitative and quantitative data? Qualitative data describes characteristics or attributes, while quantitative data represents numerical values that can be measured What is the significance of defining the scope of an analysis project? Defining the scope helps ensure that the analysis is focused, relevant, and manageable, preventing wasted resources How does data ethics impact data analysis? Data ethics ensures that data is used responsibly, respecting privacy, avoiding bias, and making sure results are fair and transparent What is the importance of identifying outliers in data analysis? Identifying outliers helps to understand data anomalies and ensures they don’t skew the results of the analysis Why is it necessary to have a strong foundation in data analysis? 3 A strong foundation enables analysts to correctly interpret data, choose the right techniques, and make sound decisions based on insights What is the difference between structured and unstructured data? Structured data is organized and stored in a predefined format (like tables), while unstructured data is more freeform, such as text or images How can a data analyst help improve business