Data Management Courses

Cloud Data Engineering

92 ratings at Coursera

Develop data engineering skills for cloud computing, covering serverless pipelines, ETL, databases, and storage. Apply best practices through hands-on projects using AWS, Azure, or GCP.

• Coursera
• 1 day 17 hours 11 minutes
• On-Demand
• Paid Course

Data Engineering with Rust

65 ratings at Coursera

Leverage Rust for efficient, safe data processing. Master data structures, concurrency, libraries, and system design. Build robust data engineering solutions with hands-on projects.

• Coursera
• 2 days 15 hours 51 minutes
• On-Demand
• Paid Course

Spark, Hadoop, and Snowflake for Data Engineering

64 ratings at Coursera

Master data engineering with Hadoop, Spark, and Snowflake. Build efficient pipelines, optimize platforms, and integrate MLflow. Explore Databricks for analytics and machine learning, while applying DevOps and DataOps methodologies.

• Coursera
• 1 day 5 hours 55 minutes
• On-Demand
• Paid Course

Virtualization, Docker, and Kubernetes for Data Engineering

49 ratings at Coursera

Explore virtualization, Docker, and Kubernetes for data engineering. Master containerization, cloud-based orchestration, and advanced topics like AI-driven coding and SRE practices. Gain hands-on experience with industry-standard tools.

• Coursera
• 1 day 3 hours 15 minutes
• On-Demand
• Paid Course

Microcredential

Data-Driven Decision-Making for Agile Organizations

48 ratings at Coursera

Master data-driven decision-making strategies to build agile dashboards, interpret business insights, and implement effective frameworks for strategic organizational success in complex environments.

• Coursera
• 4 weeks, 2 hours a week
• On-Demand
• Paid Course
• 3 courses

Risk Management and Financial Theory

43 ratings at Coursera

Explore financial risks, risk management strategies, and business case development. Master techniques for strategic alignment, financial justification, and stakeholder communication to enhance decision-making skills.

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

Web Applications and Command-Line Tools for Data Engineering

41 ratings at Coursera

Explore Jupyter notebooks, cloud-hosted environments, Python microservices, and command-line tools for data engineering tasks. Build and deploy scalable solutions for machine learning and data processing.

• Coursera
• 1 day 19 hours 31 minutes
• On-Demand
• Paid Course

Data Visualization with Python

26 ratings at Coursera

Learn to create compelling data visualizations using Python, spreadsheets, and BI tools. Master histograms, scatterplots, and line plots with Pandas, Seaborn, Matplotlib, Plotly, Tableau, and Amazon QuickSight.

• Coursera
• 9 hours 24 minutes
• On-Demand
• Paid Course

Data Visualization and Transformation with R

24 ratings at Coursera

Explore, visualize, and analyze data using R and Tidyverse. Learn data transformation, exploratory analysis, and reproducible reporting with RStudio, Quarto, Git, and GitHub.

• Coursera
• 12 hours 55 minutes
• On-Demand
• Paid Course

Agile Dashboards for Data-Driven Decision-Making

24 ratings at Coursera

Explore agile dashboards for real-time insights into organizational performance. Learn key metrics and tools for quick, informed decision-making in dynamic business environments.

• Coursera
• 2 hours 36 minutes
• On-Demand
• Paid Course

Advanced Data Engineering

21 ratings at Coursera

Master advanced data engineering techniques for handling large-scale datasets, optimizing workflows, and implementing cutting-edge tools like Celery, Apache Airflow, and specialized databases for efficient data operations.

• Coursera
• 23 hours 20 minutes
• On-Demand
• Paid Course

Data Science with NumPy, Sets, and Dictionaries

20 ratings at Coursera

Master NumPy, sets, and dictionaries for data science. Gain hands-on experience in data manipulation, analysis, and visualization. Develop skills in vectorization, randomization, and image processing for real-world applications.

• Coursera
• 1 day 6 hours 59 minutes
• On-Demand
• Paid Course

Pandas for Data Science

15 ratings at Coursera

Learn to use Pandas for data manipulation in Python. Master file operations, data cleaning, and dataset combination. Gain practical skills for efficient data handling and analysis in data science projects.

• Coursera
• 1 day 17 hours 49 minutes
• On-Demand
• Paid Course

MySQL-for-Data-Engineering

13 ratings at Coursera

Gain hands-on experience with MySQL for data engineering, including database interaction, dataset manipulation, and Python integration.

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

Data Tidying and Importing with R

11 ratings at Coursera

Transform and manipulate data using tidyverse in R. Learn data tidying, importing, recoding, and web scraping techniques to prepare datasets for visualization and modeling.

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