Data Pipelines Courses and Certifications

Practical AI for Finance: Automate, Forecast, and Optimize

60 ratings at Udemy

Learn GenAI tools to automate reports, forecast and optimize spend—fast, practical, audit-ready.

• Udemy
• 1 hour 41 minutes
• On-Demand
• Paid Course

Generative AI: Elevate your Data Engineering Career

56 ratings at Coursera

Explore how generative AI revolutionizes data engineering, enhancing productivity in architecture design, querying, schema design, data augmentation, pipelines, and analysis. Gain hands-on skills for real-world applications.

• Coursera
• 13 hours 21 minutes
• On-Demand
• Paid Course

DataOps Methodology

59 ratings at Coursera

Learn to implement DataOps methodology for high-quality enterprise data, enabling AI and driving value. Covers data governance, model management, and best practices for delivering trusted data across an organization.

• Coursera
• 10 hours 22 minutes
• On-Demand
• Paid Course

Data Engineering with Google BigQuery & Google Cloud

55 ratings at Udemy

Building data pipeline with BigQuery, Data Studio, and other Google Cloud. Learn basic BigQuery sql & techniques.

• Udemy
• 6 hours 21 minutes
• On-Demand
• Paid Course

Oracle Database and ELK Stack – Data Visualization

58 ratings at Udemy

Visualize Oracle Database using Elasticsearch, Kibana and Logstash. Hands-On Training

• Udemy
• 1 hour 14 minutes
• On-Demand
• Paid Course

Real-World Data Engineering with ADF And DevOps Integration

50 ratings at Udemy

Hands-On Deployment: Mastering Azure Data Factory, Azure Data Lake, and Azure SQL DB with Real world Project and DevOps

• Udemy
• 2 hours 59 minutes
• On-Demand
• Paid Course

Employee Attrition Prediction in Apache Spark (ML) Project

44 ratings at Udemy

Employee attrition Prediction in Apache Spark (ML) & HR Analytics Employee Attrition & Performance project for beginners

• Udemy
• 8 hours 1 minute
• On-Demand
• Paid Course

Machine Learning Interview Questions & Answers

26 ratings at Udemy

Top questions (with answers) asked in Machine Learning Engineer job interviews. Become top Data Scientist / ML Engineer.

• Udemy
• 3 hours 25 minutes
• On-Demand
• Paid Course

Data Transformation in the Cloud

28 ratings at Coursera

Explore advanced data visualization, cloud transformation, and data pipeline creation. Learn to optimize and handle large datasets for business insights using SQL and cloud tools.

• Coursera
• 18 hours 7 minutes
• On-Demand
• Paid Course

Snowflake

Advanced Data Engineering with Snowflake

23 ratings at Coursera

Master advanced data engineering with Snowflake by implementing DevOps best practices for data pipelines, including source control, continuous delivery, and observability techniques to monitor pipeline health and performance.

• Coursera
• 4 hours 43 minutes
• On-Demand
• Paid Course

Azure Data Factory Interview Bootcamp for Data Engineers

21 ratings at Udemy

Master Azure Data Factory concepts, demos, and real interview questions to land your next Data Engineering role.

• Udemy
• 2 hours 13 minutes
• On-Demand
• Paid Course

EDUCBA

Microsoft Azure - Data Factory

17 ratings at Coursera

Master Microsoft Azure Data Factory to build, monitor, and optimize scalable data pipelines with hands-on exercises covering setup, debugging, and Azure Data Lake integration.

• Coursera
• 9 hours 12 minutes
• On-Demand
• Paid Course

Coursera

Apache Kafka - An Introduction

11 ratings at Coursera

Explore Apache Kafka's architecture, learn to configure clusters, and implement stream processing applications for real-time data exchange and analysis.

• Coursera
• 2 hours 31 minutes
• On-Demand
• Paid Course

Coursera

Azure Data Factory : Implement SCD Type 1

14 ratings at Coursera

Implement Slowly Changing Dimension Type 1 in Azure Data Factory. Learn to create pipelines for inserting new records and updating existing ones in a dimension table using Azure SQL Database.

• Coursera
• 1 hour 55 minutes
• On-Demand
• Paid Course

Dive into a comprehensive data architecture case study where you'll evaluate, design, migrate, and implement enterprise systems while creating data pipelines and governance plans for real-world applications.

• Coursera
• 9 hours 57 minutes
• On-Demand
• Paid Course