Python Data Analytics

Learn Python for data analytics from scratch — pandas, NumPy, matplotlib, seaborn, and scikit-learn — through hands-on Jupyter notebook lessons that take you from environment setup to a real-world sales capstone project.

Láti ọwọ́ LearnKasts Demo Àárín Kò tíì sí ìdíyelé ÌWÉ-ẸRÍ 4 àwọn akẹ́kọ̀ọ́

Àkóónú ẹ̀kọ́

Apá 1Getting Started ẹ̀kọ́ kékeré 4
Apá 2Pandas Core ẹ̀kọ́ kékeré 4
Apá 3Data Analysis ẹ̀kọ́ kékeré 4
Apá 4Data Visualisation ẹ̀kọ́ kékeré 3
Apá 5Advanced Techniques ẹ̀kọ́ kékeré 4
Apá 6Machine Learning Intro ẹ̀kọ́ kékeré 2
Apá 7Capstone Project ẹ̀kọ́ kékeré 1

Yes

Certificate

This course teaches you the complete Python data analytics workflow using the tools professionals use every day. You'll start by setting up Jupyter and your Python environment, then work through pandas for data wrangling, groupby and merge operations for analysis, matplotlib and seaborn for visualisation, NumPy and pivot tables for advanced techniques, and scikit-learn for your first machine learning model. Every lesson is hands-on — you'll write and run real code, see actual outputs, and finish with a capstone project analysing a real-world sales dataset from start to finish.