Data Analysis with NumPy and Pandas

Coursera MOOC / Non-credit USD 49
Enroll now →
Data Analysis with NumPy and Pandas

About this course

This Specialization equips learners with essential skills in Python-based data analysis using NumPy and Pandas. Starting with foundational numerical operations, learners progress to advanced data manipulation, cleaning, and transformation techniques. Through real-world datasets and case studies, participants will gain hands-on experience in building efficient workflows, handling missing values, managing time series, and applying advanced analytical techniques. By the end of the program, learners will be prepared to apply industry-relevant skills in data science, business intelligence, and analytics roles.

What you'll learn

  • conduct numerical operations using NumPy
  • perform data manipulation with Pandas
  • clean and transform datasets effectively
  • handle missing values
  • manage time series data
  • apply advanced analytical techniques

Skills you'll gain

Related courses

Course details are provided by the platform and may change — always confirm on the provider's site. Links may be affiliate links.