Pandas Tutorial for Beginners: Analyze a Dataset Step by Step
Learn Pandas by analyzing a small student-marks dataset: load a CSV, inspect and filter rows, handle missing values, group results, and draw simple conclusions.
NumPy & Pandas Course
Course Overview
This course focuses on NumPy and Pandas: the usual backbone for assignments, analytics, and ML feature work. You will practice loading messy data, transforming it safely, and summarizing results—skills that transfer directly to internships and portfolio projects.
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What You'll Learn:
- Creating and manipulating multi-dimensional arrays with NumPy.
- Performing high-performance mathematical operations on large datasets.
- Data cleaning, transformation, merging, and reshaping with Pandas DataFrames.
- Indexing, selecting, and filtering data for insightful analysis.
- Real-world data analysis projects to build your practical skills.
Course Details
Duration: 20–22 sessions, based on your goals and pace
Session Length: 1 hour
Format: 1:1 Live Online
Language: English or Hindi
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