What you'll learn
Build modular and maintainable Python applications., Perform high-performance numerical computing with NumPy., Process and optimize…
Advanced Python Data Engineering & Analytics
RA
Instructor: RajeshLive Course
LiveAdvanced Python Data Engineering & Analytics is an engineering-focused course designed to develop practical skills in professional Python programming, numerical computing, advanced data processing, database engineering, API integration, ETL pipeline development, visualization, and production deployment.
The course moves learners from efficient Python and NumPy computation to Pandas optimization, PostgreSQL, advanced SQL, REST APIs, automated data pipelines, validation, testing, dashboards, Docker, and deployment. Students work with engineering-oriented datasets and build complete data systems through practical implementation
4.9 ★445 reviews
Intermediate levelRecommended experience
Course starts from
Oct 15, 2026Live
24 modulesGain insight into a topic and learn the fundamentals.
4.9 ★445 reviews
Intermediate levelRecommended experience
Course starts from
Oct 15, 2026Live
👍 89%Most learners liked this course
What you'll learn
- Build modular and maintainable Python applications.
- Perform high-performance numerical computing with NumPy.
- Process and optimize complex datasets using Pandas.
- Design relational databases and write advanced SQL queries.
- Connect Python applications with PostgreSQL and SQLAlchemy.
- Integrate REST APIs with authentication, pagination, and validation.
- Build complete ETL and automated data pipelines.
- Implement data validation, logging, testing, and error handling.
- Create interactive visualizations with Plotly.
- Build analytical dashboards using Streamlit.
- Use Git and GitHub for source-code management.
- Containerize and deploy applications using Docker.
- Develop complete end-to-end data engineering solutions.
Skills you'll gain
Data EngineeringAdvanced Python DevelopmentNumerical ComputingData TransformationData Pipeline DevelopmentDatabase EngineeringAdvanced SQL DevelopmentAPI IntegrationETL Pipeline EngineeringData ValidationData Quality EngineeringPerformance OptimizationPipeline AutomationApplication TestingTechnical Data VisualizationDashboard DevelopmentContainerizationProduction Deployment
Tools you'll learn
PythonNumPyPandasPostgreSQLSQLSQLAlchemyRequestsPydanticMatplotlibSeabornPlotlyStreamlitJupyter NotebookVS CodeGitGitHubDocker
There are 24 modules in this course
Description
Advanced Python Data Engineering & Analytics is an engineering-focused course designed to develop practical skills in professional Python programming, numerical computing, advanced data processing, database engineering, API integration, ETL pipeline development, visualization, and production deployment. The course moves learners from efficient Python and NumPy computation to Pandas optimization, PostgreSQL, advanced SQL, REST APIs, automated data pipelines, validation, testing, dashboards, Docker, and deployment. Students work with engineering-oriented datasets and build complete data systems through practical implementation
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What learners can expect
Skills you'll gain
Data Engineering, Advanced Python Development, Numerical Computing, Data Transformation, Data Pipeline Development, Database Engineering, Advanced…
Tools you'll use
Python, NumPy, Pandas, PostgreSQL, SQL, SQLAlchemy, Requests, Pydantic, Matplotlib, Seaborn, Plotly, Streamlit, Jupyter Notebook, VS…
Learning experience / Modules
Professional Python for Data Applications, Advanced Python Data Structures and Comprehensions, Functional Programming and Efficient…
Reviews
Showing 3 course reviews
A
Aarav
I liked how Advanced Python Data Engineering & Analytics introduces Build modular and maintainable Python applications. in a structured way. The modules make the main ideas easier to follow and give the subject a practical learning flow.
M
Meera
The course connects Data Engineering with Python in a focused way. Its learning outcomes are clear, and the content gives learners a useful path from fundamentals to practical application.
K
Karthik
The modules in Advanced Python Data Engineering & Analytics create a steady learning journey around Professional Python for Data Applications. The course keeps attention on relevant concepts, making it easier to understand what to study and practise next.