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.
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- 24/45
- Who stands behind it
- 20/35
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- 16/20
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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
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