Data Analysis with Pandas & NumPy
Master the two core Python libraries for data analysis. Load, clean, transform, aggregate, and explore real-world datasets with Pandas DataFrames and NumPy arrays.
What You'll Learn
Create and manipulate NumPy arrays for fast numerical computing
Load datasets from CSV, Excel, and SQL into Pandas DataFrames
Clean messy data: handle missing values, duplicates, and outliers
Transform data with groupby, pivot tables, and merge operations
Perform time series analysis and resampling
Conduct a complete exploratory data analysis (EDA) on a real dataset
Curriculum Breakdown
Learning Format
Video Lessons
High-quality recorded lessons you can watch at your own pace.
Hands-on Projects
Real-world projects that reinforce every concept you learn.
Certificate
Earn a verifiable certificate upon successful completion.
Certification Details
Data Analysis with Pandas & NumPy Certificate
Issued by Tech101
Prove your data wrangling and analysis skills with this professional credential.
Certificate Requirements
- Shareable on LinkedIn
- PDF download
- Unique verification ID
Completion Certificate
Awarded upon finishing all course content and submitting projects. Shows dedication and completion.
Graded Certificate
Earned by passing the final assessment with 70%+ score. Demonstrates verified skill proficiency.
Your Instructor
Sarah Johnson
Data Scientist & ML Engineer
Sarah has 10 years of experience in data science and machine learning, previously at Google AI and DeepMind.
Requirements & Prerequisites
Technical Requirements
- Python Programming Fundamentals (or equivalent)
- Jupyter Notebook or VS Code with Jupyter extension
Who This Course Is For
- Data Science students who know Python basics
- Analysts wanting to replace Excel with Python
- Anyone on the Data Science & AI track
Student Reviews
Frequently Asked Questions
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