Data Analytics interview questions:
What is data analytics?
Data analytics is the process of examining and interpreting data to extract insights and make informed decisions.
What are the different types of data analytics?
There are three main types of data analytics: descriptive analytics, which involves summarizing data to understand what has happened; predictive analytics, which involves using data to make predictions about future events; and prescriptive analytics, which involves using data to recommend a course of action.
What is the difference between structured and unstructured data?
Structured data is data that is organized into a predefined format, such as a database table. Unstructured data is data that is not organized in a predefined manner, such as emails, social media posts, or images.
What is data cleansing?
Data cleansing is the process of identifying and correcting errors or inconsistencies in data. It involves removing duplicate records, correcting spelling errors, and standardizing data formats, among other tasks.
What is a pivot table?
A pivot table is a data summarization tool used in spreadsheets, such as Microsoft Excel. It allows users to group and summarize data in a flexible and customizable manner, making it easier to analyze large amounts of data.
What is regression analysis?
Regression analysis is a statistical technique used to determine the relationship between one or more independent variables and a dependent variable. It is often used to make predictions about future events or to identify factors that influence a particular outcome.
What is clustering analysis?
Clustering analysis is a technique used to group similar data points together based on their characteristics. It is often used to segment customers or identify patterns in large datasets.
What is machine learning?
Machine learning is a branch of artificial intelligence that involves using algorithms to learn from data and make predictions or decisions without being explicitly programmed.
What is big data?
Big data refers to extremely large datasets that are too complex to be processed using traditional data processing methods. It often involves using distributed computing frameworks, such as Hadoop, to process and analyze the data.
What is data visualization?
Data visualization is the process of presenting data in a visual format, such as a chart or graph, to make it easier to understand and analyze. It is often used to communicate insights and findings to non-technical stakeholders.
