Data Ingenious Global Senior Data Analyst Interview Questions and Answers

Data Visualization Using Power BI As Well As Tableau And Analysis

Q1. Predictive, Prescriptive, And Descriptive Analysis
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Q2. Significance Of Exploratory Data Analysis
Ans. 
Exploratory Data Analysis is crucial for understanding the data, identifying patterns, and making informed decisions.
• Helps in understanding the distribution of data

• Identifies outliers and missing values

• Detects patterns and relationships between variables

• Assists in selecting appropriate statistical techniques

• Visualizes data for better insights

• Example: Using histograms to understand the distribution of customer ages in a
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Q3. Some Common Data Visualization Tools That Have Used?
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Some common data visualization tools include Tableau, Power BI, and Google Data Studio.
• Tableau

• Power BI

• Google Data Studio
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Q4. Steps Involved In Any Data Analysis Project
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Steps involved in a data analysis project include defining objectives, collecting data, cleaning and organizing data, analyzing data, and presenting findings.
• Define project objectives and goals

• Collect relevant data sources

• Clean and organize data to ensure accuracy

• Perform data analysis using statistical methods and tools

• Present findings and insights to stakeholders
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Q5. Data Cleaning Methods
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