DA
BESTSELLERData ScienceIntermediate

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.

4.9(3,800 ratings)
34K+ students enrolled
Last updated: January 2026EnglishSubtitles: English

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

4 Modules 20 Lessons • 30h Total12+ Downloadable Resources
Series & DataFrame Fundamentals
12:00
Importing Data: CSV, Excel, JSON, SQL
11:00
Selecting Data: loc, iloc & Boolean Masks
13:30
Adding, Renaming & Dropping Columns
10:00
Sorting & Ranking
8:30

Learning Format

Video Lessons

High-quality recorded lessons you can watch at your own pace.

20 lessons

Hands-on Projects

Real-world projects that reinforce every concept you learn.

3 projects

Certificate

Earn a verifiable certificate upon successful completion.

On 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

SJ

Sarah Johnson

Data Scientist & ML Engineer

Sarah has 10 years of experience in data science and machine learning, previously at Google AI and DeepMind.

4.8
Instructor Rating
5.1K
Reviews
38K+
Students
6
Courses
4.8 Instructor Rating

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

4.9
3,800 ratings
72%
18%
6%
2%
2%

Frequently Asked Questions

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