Complete SQL for Data Science with Python – IBM Certified Course
🔥 Master Databases and SQL for Data Science with Python – IBM Certified Course 🔥
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SQL is a must-have skill for Data Scientists, Data Analysts, and Database Administrators. This IBM-certified course will take you from SQL basics to advanced queries, helping you manipulate, extract, and analyze data effectively. Learn to work with databases, write optimized SQL queries, and integrate SQL with Python for data science applications.
⏱ Timestamps:
00:00 - Introduction to SQL for Data Science
03:12 - Why SQL is Essential for Data Professionals
07:45 - Understanding Databases & Relational Models
12:30 - Setting Up SQL Environment & Tools
17:55 - SQL Basics: SELECT, INSERT, UPDATE, DELETE
25:40 - Filtering & Sorting Data (WHERE, COUNT, DISTINCT, ORDER BY)
32:15 - Understanding Aggregate Functions (SUM, AVG, MIN, MAX)
38:50 - Grouping & Aggregating Data (GROUP BY, HAVING)
45:30 - Working with Different Data Types in SQL
51:20 - Database Operations: DML vs. DDL (CREATE, ALTER, DROP)
57:10 - Introduction to Primary Keys & Foreign Keys
1:03:25 - Understanding Relationships Between Tables
1:09:40 - Mastering SQL JOINs (INNER, LEFT, RIGHT, OUTER, CROSS)
1:17:15 - Using Subqueries & Nested Queries for Complex Analysis
1:24:00 - String Functions & Pattern Matching in SQL
1:30:30 - Working with Date & Time Functions in SQL
1:37:20 - Stored Procedures & Views for Efficient Database Management
1:44:10 - Introduction to Transactions & ACID Properties
1:50:40 - Integrating SQL with Python (Using Jupyter Notebooks)
1:57:25 - Hands-on Labs & Real-World Projects
2:05:00 - Final Thoughts, Certification & Career Benefits
📚 What You'll Learn:
✅ SQL Fundamentals: SELECT, INSERT, UPDATE, DELETE commands
✅ Filtering & Sorting: WHERE, COUNT, DISTINCT, ORDER BY, GROUP BY
✅ Aggregate Functions & Complex Queries: SUM, AVG, MIN, MAX, HAVING
✅ Database Operations: DML vs. DDL (CREATE, ALTER, DROP, LOAD)
✅ Primary & Foreign Keys, Data Relationships & Constraints
✅ SQL JOINs: INNER, LEFT, RIGHT, OUTER, CROSS JOIN
✅ Subqueries, Nested Queries, and Optimized Query Writing
✅ Working with String, Date & Time Functions in SQL
✅ Stored Procedures, Views & ACID Transactions
✅ Integrating SQL with Python for Data Science (Jupyter Notebooks)
✅ Hands-on Labs & Real-World Projects with Cloud Databases
🎯 Why Take This Course?
✔ IBM-Certified Training – Industry-recognized knowledge & certification
✔ Comprehensive Curriculum – From SQL basics to advanced real-world applications
✔ Hands-on Learning – Practice SQL in live databases & work on real projects
✔ Python Integration – Learn how to use SQL with Python for data science
✔ Career Growth – Enhance your resume & job prospects in Data Science, Analytics & Database Management
🎓 Who Should Enroll?
🔹 Beginners looking to start a career in data science or analytics
🔹 Data analysts & professionals who want to improve SQL skills
🔹 Python developers seeking to integrate SQL into data-driven applications
🔹 Anyone interested in learning how to work with databases efficiently
🎖 Final Project & Certification
At the end of the course, you’ll apply your knowledge to analyze real-world datasets using SQL. Successfully completing the course earns you an IBM SQL for Data Science Certificate, validating your expertise to potential employers.
🚀 Get certified & boost your career! Enroll today and start mastering SQL for data science.
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