MAZHER KHAN

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Mazher Khan (Senior Data Analyst) - IIT Graduate

Here's the updated list including Pandas:

1. Python Basics

• Syntax and Semantics
• Data Types and Variables
• Operators and Expressions
• Control Flow (if, elif, else)
• Loops (for, while)
• Functions and Modules
• Error Handling (try, except)
• File I/O (reading/writing files)

2. Data Structures

• Lists
• Tuples
• Dictionaries
• Sets
• Comprehensions (list, dictionary, set)

3. Data Manipulation and Analysis

• Pandas Library
• DataFrames and Series: Creation, indexing, and selection
• Data Manipulation: Adding, removing, and renaming columns
• Data Cleaning: Handling missing values, duplicates
• Data Transformation: Applying functions, merging, joining
• GroupBy and Aggregation: Grouping data and performing aggregations
• Pivot Tables: Creating and using pivot tables
• Data Visualization: Using Pandas plotting capabilities

4. Data Visualization

• Matplotlib Library
• Basic Plotting (line plots, scatter plots, bar charts)
• Customizing Plots (labels, legends, titles)
• Seaborn Library
• Statistical Plots (histograms, box plots, pair plots)
• Customizing and Styling Plots
• Plotly Library (Optional)
• Interactive Plots and Dashboards

5. Data Cleaning and Preparation

• Handling Missing Data
• Data Transformation and Normalization
• Feature Engineering
• Outlier Detection and Treatment