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Python Data Analyst Interview Topics

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**Python Data Analyst Interview Guide** This comprehensive **Python Data Analyst Interview Guide** is designed to help aspiring data analysts master the key concepts and skills needed to excel in technical interviews. It covers a wide range of topics, from Python programming fundamentals to adva...

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  • October 20, 2024
  • 2
  • 2023/2024
  • Exam (elaborations)
  • Questions & answers

Subjects

  • python
  • data
  • data analysis
  • data science
  • interview questions
  • coding
  • guide
  • flash cards
  • summary
  • python data aanalyst interview topics

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  • Data Analysis
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These are the most important Python topics to revise before your Data Analytics interview:

Basics of Python

1. Data Types and Operations: Strings, lists, tuples, dictionaries.

2. Control Structures: If-elif-else, for and while loops, list comprehensions.

3. Functions: Defining, arguments, lambda functions, scope.

4. Exception Handling: Try, except, finally.

5. Practise Basic FAQ Questions:

1. How to merge two dictionaries?

2. How to sort a list of dictionaries by a specific key?

3. How to find the second largest number in a list?

4. How to find the intersection of two lists?

5. How to reverse a string in Python?

6. How to slice a string in Python?

7. How to find the largest/smallest number in a list?

8. How to remove duplicates from a list?

9. How to count the occurrences of each element in a list?

10. How to check if a string is a palindrome?

Pandas

1. Data Structures: Series and DataFrame.

2. Data Manipulation: Creating, selecting, filtering, and modifying DataFrames.

3. Data Aggregation: Grouping, pivot tables, aggregation functions.

4. Handling Missing Values: Detecting, filling, removing.

5. Merging Data: Using merge, join, and concat.

6. Exploratory Data Analysis:

1. Descriptive Statistics

2. Data Visualization with Pandas (Line Plots, Bar Plots, Histograms)

3. Correlation and Covariance

4. Handling Duplicates

5. Data Transformation

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