ANSWERS ALREADY PASSED
Question: What is the primary objective of business analytics?
Answer: ✔✔ The primary objective of business analytics is to use data and statistical analysis to
drive decision-making and improve business performance.
Question: What distinguishes descriptive analytics from predictive analytics?
Answer: ✔✔ Descriptive analytics focuses on summarizing past data to understand what
happened, while predictive analytics uses statistical models and machine learning to forecast
future trends.
Question: In a dataset, what is the purpose of data normalization?
Answer: ✔✔ Data normalization is used to adjust the scales of different variables to a common
scale without distorting differences in the ranges of values. This helps in improving the
performance of analytical models.
Question: What is a key difference between supervised and unsupervised learning in machine
learning?
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, Answer: ✔✔ Supervised learning involves training a model on labeled data where the outcomes
are known, while unsupervised learning deals with unlabeled data to find hidden patterns or
intrinsic structures.
Question: What does the term "data wrangling" refer to in data preparation?
Answer: ✔✔ Data wrangling refers to the process of cleaning and transforming raw data into a
format suitable for analysis. This includes handling missing values, outliers, and inconsistencies.
Question: Why is it important to conduct a data quality assessment before performing analytics?
Answer: ✔✔ Conducting a data quality assessment ensures that the data used for analysis is
accurate, complete, and reliable, which is crucial for obtaining valid and actionable insights.
Question: What is a pivot table and how is it used in data analysis?
Answer: ✔✔ A pivot table is a data processing tool used to summarize, analyze, and present data
in a spreadsheet. It allows users to group, filter, and aggregate data dynamically.
Question: Explain the concept of "big data" and its relevance to business analytics.
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