Data Analytics - Module 1: Fundamentals

What is the primary purpose of data analysis in companies?

• To increase social media presence

• To sort and derive key insights from large amounts of unstructured information

• To replace all manual tasks

• To create company policies

Which of the following is true about the relationship between data analysis and data science?

• Data analysis is more advanced than data science

• Data science and data analysis are the same

• Data science involves more advanced tasks such as programming and building predictive models

• Data analysis includes creating new algorithms

What is the first step in the data analytics process?

• Collect the right data

• Perform data cleaning

• Describe the question or goal behind the analysis

• Present data in significant ways

How do businesses typically categorize their customers?

• By the products they buy

• As external or internal customers

• By their feedback

• As profitable or non-profitable

Why do businesses study the profiles of their customers?

• To increase their prices

• To improve customer relationships and attract new customers

• To limit their marketing efforts

• To decrease inventory

What role does data analytics play in decision making for businesses?

• It replaces human decision-making

• It helps in making informed decisions and identifying areas for improvement

• It only provides historical data

• It is primarily used for legal compliance

What educational background is typically required for candidates applying for data analytics jobs?

• Bachelor’s degree in marketing

• High school diploma

• Bachelor’s degree in computer science, mathematics, statistics, or a related field

• No specific educational background is needed

Which of the following statements about customers is true?

• Customers do not impact company revenues

• Happy customers are less likely to return

• Customers are essential for business survival

• All businesses treat customers the same way

What is the significance of machine learning and artificial intelligence in data analytics?

• They are only used for data collection

• They help in examining large sets of data and extracting beneficial information

• They replace data analysts

• They are not related to data analytics

How can data analytics contribute to cost-effectiveness in a business?

• By automating all business processes

• By identifying unproductive processes and optimizing resource allocation

• By increasing employee salaries

• By eliminating the need for customer feedback