MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 108 Lectures ( 9h 21m ) | Size: 2.85 GB
Transforming Business Intelligence with Python, SQL, SSIS, and ETL
What you'll learn:
Develop a solid understanding of data engineering principles within the context of Business Intelligence (BI).
Master the fundamentals of Python programming for data manipulation, analysis, and visualization.
Proficiently utilize SQL for database management, querying, and optimization.
Comprehend the role and functionalities of SSIS (SQL Server Integration Services) in data integration and ETL processes.
Design and implement ETL (Extract, Transform, Load) solutions using SSIS for efficient data processing.
Implement data cleansing, validation, and transformation strategies within ETL processes.
Understand data warehousing concepts and their significance in BI and analytics.
Develop skills in performance optimization for ETL workflows and data processing.
Analyze real-world case studies and practical projects involving ETL processes and BI tasks.
Integrate Python scripts and libraries within ETL workflows to enhance data processing capabilities.
Utilize SQL queries and SSIS functionalities for error handling and debugging in data pipelines.
Create interactive and insightful data visualizations using Python's libraries like Matplotlib and Seaborn.
Demonstrate proficiency in manipulating and preparing data for BI applications and analytics.
Implement advanced techniques for data aggregation, grouping, and summarization.
Design and execute a comprehensive capstone project integrating Python, SQL, SSIS, and ETL techniques.
