Most Important Python Topics for Data Analytics Interview
Basics of Python:
- Data Types
- Lists
- Dictionaries
- Control Structures:
- if-elif-else
- Loops
- Functions
- Practice basic FAQs questions, below mentioned are a few examples:
- How to reverse a string in Python?
- How to find the largest/smallest number in a list?
- How to remove duplicates from a list?
- How to count the occurrences of each element in a list?
- How to check if a string is a palindrome?
Pandas:
- Pandas Data Structures (Series, DataFrame)
- Creating and Manipulating DataFrames
- Filtering and Selecting Data
- Grouping and Aggregating Data
- Handling Missing Values
- Merging and Joining DataFrames
- Adding and Removing Columns
- Exploratory Data Analysis (EDA):
- Descriptive Statistics
- Data Visualization with Pandas (Line Plots, Bar Plots, Histograms)
- Correlation and Covariance
- Handling Duplicates
- Data Transformation
Numpy:
- NumPy Arrays
- Array Operations:
- Creating Arrays
- Slicing and Indexing
- Arithmetic Operations
Integration with Other Libraries:
- Basic Data Visualization with Pandas (Line Plots, Bar Plots)
Key Concepts to Revise:
- Data Manipulation with Pandas and NumPy
- Data Cleaning Techniques
- File Handling (reading and writing CSV files, JSON files)
- Handling Missing and Duplicate Values
- Data Transformation (scaling, normalization)
- Data Aggregation and Group Operations
- Combining and Merging Datasets
