Python Topics To Revise Before A Data Analytics Interview

🚀 Ace Your Data Analyst Interview with These Key Python Topics! 📄

Feeling overwhelmed by what to study? We've got you covered with the most important Python topics for data analyst interviews. Master these, and walk into that interview with confidence! 💪

➡️ Python Basics
Master the fundamentals:
1. Data Types
2. Lists & Dictionaries
3. Control Structures (if-elif-else, loops)
4. Functions

Quick Practice FAQs:
• Reverse a string in Python
• Find largest/smallest number in a list
• Remove duplicates from a list
• Count occurrences in a list
• Check if a string is a palindrome

➡️ Pandas
Your go-to for data manipulation:
1. Series & DataFrames
2. Creating & Manipulating DataFrames
3. Filtering & Selecting Data
4. Grouping & Aggregating Data
5. Handling Missing Values
6. Merging & Joining DataFrames
7. Adding & Removing Columns

➡️ Exploratory Data Analysis (EDA)
Gain insights with EDA:
• Descriptive Statistics
• Data Visualization (Line Plots, Bar Plots, Histograms)
• Correlation & Covariance
• Handling Duplicates & Data Transformation

➡️ NumPy
Make data processing a breeze:
1. NumPy Arrays
2. Array Operations (Creating, Slicing, Arithmetic)

➡️ Integration with Other Libraries
Enhance your visuals:
• Basic Data Visualization with Pandas (Line Plots, Bar Plots)

➡️ Key Concepts to Revise
1. Data Manipulation with Pandas & NumPy
2. Data Cleaning Techniques
3. File Handling (CSV, JSON)
4. Handling Missing & Duplicate Values
5. Data Transformation (scaling, normalization)
6. Aggregation & Group Operations
7. Combining & Merging Datasets

Good Luck!🤞 Keep pushing, keep practicing, and explore every opportunity! Need help with assignments or projects? DM us anytime! 🚀

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