Data Analysis with NumPy and Pandas

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

• Apply NumPy and Pandas to clean, analyze, and transform data
• Build efficient workflows including aggregation, filtering, joins, and time series analysis
• Implement real-world projects converting raw data into actionable insights

• Basic computer and internet skills
• Ability to read instructions in English and complete short exercises