Python for Data Science
By External Provider
About this course
Master Python for data science with hands‑on projects. Learn pandas, statistics, and visualization to solve real‑world business problems. Build job‑ready skills in data wrangling, exploratory data analysis (EDA), and charting with matplotlib/seaborn—no prior experience required. This beginner‑friendly course guides you through cleaning messy data, applying descriptive and inferential statistics, and preparing datasets for machine learning. You’ll design analyses that answer business questions, communicate insights with compelling visuals, and complete challenging assessments aligned to workplace scenarios. By the end, you’ll confidently manipulate data in pandas, automate workflows, and build dashboards that stakeholders understand. Start your data‑driven journey and turn raw data into decisions.
What you will learn
- Build pandas pipelines to clean, transform, and aggregate real‑world datasets.
- Perform EDA and compute descriptive statistics to summarize data quality and behavior.
- Apply hypothesis tests (t‑test/chi‑square) and interpret results for business decisions.
- Create publication‑quality charts (bar/line/box/heatmaps) with matplotlib & seaborn.