Data Analytics with Python
Level: Beginner → IntermediateDuration: 30 hoursFormat: Online/Hybrid
Overview
Analyze real datasets end-to-end using Python. Clean, explore, and visualize data with Pandas and NumPy, then communicate insights in a clear reporting style.
Who it's for
- •Learners who completed Python Basics for Analysts
- •Analysts who want automation beyond Excel
- •Professionals transitioning into data roles
What you'll learn
- •Pandas essentials: loading, selecting, filtering, transforming
- •Cleaning: missing values, duplicates, types, outliers (intro)
- •Grouping & aggregation for business questions
- •Merging datasets and building analysis-ready tables
- •Visualization (Matplotlib) and insight storytelling
- •EDA workflow: ask → explore → validate → conclude
- •Portfolio project: analysis + insights report
Tools
PythonPandasNumPyMatplotlibJupyter/Colab
Outcomes
- •Perform end-to-end EDA on real datasets
- •Clean and transform data efficiently
- •Deliver a portfolio-ready analysis project
Certificate
Upon successful completion, you will receive a professional certificate from Continuum X OÜ.