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.
Übungsprojekt
Learners will complete hands-on projects using authentic datasets, including business-focused case studies such as retail data management and statistical analysis with NumPy arrays. These projects ensure learners apply theoretical knowledge to solve real-world problems, gaining job-ready data analysis and reporting skills.
