Python Data Visualization, SQL Connectivity & EDA
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Python Data Visualization, SQL Connectivity & EDA

Intermediate

Bridge the gap between raw databases and business insights. Learn to connect Python directly to SQL databases with SQLAlchemy, build statistical charts with Matplotlib & Seaborn, execute systematic EDA, and build customer RFM models.

Python Data Visualization, SQL Connectivity & EDA
Duration

2 weeks

Content

4 modules, 18 lessons

Students

36

Total Time

~6 hours

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Course Curriculum

1

CONNECTING PYTHON TO RELATIONAL DATABASES & SQLFREE PREVIEW

Master connecting Python to databases (SQLite, PostgreSQL, MySQL), running queries directly into DataFrames with pd.read_sql, and writing tables back.

57 min4 lessons
3

THE SYSTEMATIC EXPLORATORY DATA ANALYSIS (EDA) WORKFLOWFREE PREVIEW

Apply a structured 6-step EDA framework to uncover patterns, detect outliers with the IQR method, engineer features, and solve real-world problems.

111 min4 lessons
4

APPLIED BUSINESS ANALYTICS & RFM PREPARATIONFREE PREVIEW

Learn the theory and mathematics of Recency, Frequency, and Monetary (RFM) customer segmentation before building Project 35.

76 min3 lessons
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Career Track

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