About This Course

Welcome to the 'Data Engineer for Finance' course, where we embark on a journey to master the art of data engineering in the dynamic world of finance. In this comprehensive program, you will delve into the intricacies of data extraction, transformation, and loading (ETL), learn to harness the power of cutting-edge tools like Pentaho (PDI), and explore the nuances of data integration and storage within the financial sector. Whether you're aspiring to enhance your career in finance or seeking to build robust data pipelines for financial analytics, this course provides the knowledge and hands-on experience to thrive in this data-driven landscape..

In the end, to receive the certificate, students will be required to complete a final exam. The final exam will include both multiple-choice questions and coding assignments related to the topics covered in the "Data Engineering for Finance" course. This comprehensive assessment will allow students to demonstrate their proficiency and application of Data Engineering concepts. Successful completion of the final exam will be a prerequisite for earning the course certificate. The curriculum covers the following key topics:

Introduction to Data Engineering -> estimated time = 50 minutes

In the 'Introduction to Data Engineering' module, we lay the foundation for your journey into the world of data engineering within the finance sector. Over the course of 50 minutes, we will explore the fundamental concepts of data engineering, including the crucial Extract, Transform, Load (ETL) processes that underpin data management and analysis. Additionally, we introduce you to Pentaho (PDI) as a powerful Data Integration Tool, providing you with the essential knowledge and skills needed to work with this industry-standard tool. Whether you are a newcomer to data engineering or seeking to expand your expertise, this module will equip you with the essential insights and tools to succeed in the realm of financial data engineering.

Here are the sections that exist in this module:

Data Extraction -> estimated time = 120 minutes

In the 'Data Extraction' module, we delve deep into the critical processes of data integration, ingestion, and collection methods, vital components in the world of financial data engineering. Over the span of 120 minutes, you'll gain a comprehensive understanding of these essential data handling techniques. We will explore data extraction using Pentaho, a robust and industry-standard Data Integration Tool, enabling you to extract valuable insights from diverse data sources efficiently. Additionally, we'll equip you with the skills to implement web scraping with Python, a versatile tool for gathering data from the web. Whether you're tasked with integrating financial datasets or extracting valuable information from online sources, this module empowers you with the knowledge and practical know-how to excel in data extraction within the financial domain.

Here are the sections that exist in this module:

Data Cleaning and Data Transformation -> estimated time = 90 minutes

In the 'Data Cleaning and Data Transformation' module, we navigate the pivotal terrain of data quality and transformation within the finance sector. Over the course of 90 minutes, you'll immerse yourself in the critical processes of data cleaning and transformation. We'll explore best practices in data cleaning to ensure the integrity and reliability of financial data. Additionally, you'll learn how to wield the power of Python and Pentaho for data transformation, enabling you to structure and prepare financial data for analysis and reporting. Whether you're working with vast datasets or refining financial information for decision-makers, this module equips you with the skills and strategies necessary to excel in data cleaning and transformation within the context of finance.

Here are the sections that exist in this module:

Data Loading and Data Storage -> estimated time = 60 minutes

In the 'Data Loading and Data Storage' module, we delve into the crucial aspects of data storage and efficient loading within the finance domain. Over the span of 60 minutes, you'll gain valuable insights into the world of data storage technologies and their significance in safeguarding financial information. We'll explore various data storage solutions tailored to finance and equip you with the knowledge needed to make informed choices. Moreover, you'll learn the practical implementation of data loading using Pentaho, a powerful Data Integration Tool, ensuring that you can efficiently transfer financial data to storage systems. Whether you're dealing with transaction records, market data, or other financial datasets, this module empowers you with the skills to manage and load financial data securely and effectively, enhancing your capabilities as a data engineer in the finance sector.

Here are the sections that exist in this module:

This course is intentionally structured to be hands-on and practical, offering a wealth of coding exercises and projects to solidify your understanding. By the end of the 'Data Engineer for Finance' course, you will have not only grasped the intricacies of data engineering within the finance sector but also developed practical skills that are readily applicable in real-world scenarios.