Master data engineering to automate workflows and transform raw data into valuable insights.
Data engineering is crucial for addressing the challenges of modern data-driven environments. As organizations generate massive amounts of data from various sources, the need for efficient data management and processing becomes critical. Data engineering transforms raw data into valuable insights by designing and implementing robust data pipelines that handle data extraction, transformation, and loading (ETL) processes, ensuring data is clean, and integrated from disparate sources.
Automation of data workflows is another significant problem solved by data engineering. Manual data processing is time-consuming and error-prone, but tools like Apache Airflow automate complex data workflows, reducing human intervention and minimizing errors. By setting up Directed Acyclic Graphs (DAGs) in Airflow, data engineers can automate the scheduling and execution of tasks, ensuring timely data processing and delivery. This automation enhances operational efficiency, allowing organizations to respond quickly to changing data requirements and business needs especially for data analytics needs.
Upon completion of this workshop, you will be able to:
Python Programming Basics
Introduction to Airflow
Generate and Run Airflow Script
Additional Implementation for Data Analytics
Other implementation of Airflow for data analytics
This testimonial video is taken after our previous Online Data Science Series: Time Series Analysis for Business Forecasting.
Our learning format is online-interactive, you will feel the interactive experience as if you were present in a physical classroom. You can access the class using your Zoom account on pre-defined dates.
Workshops in this series are tailored to casual programmers and non-programmers that are taking their first steps into data science. It assumes no prior knowledge or academic background, and attendees will be introduced to the beautiful art of writing R / Python code to produce data visualization and build machine learning models. The workshop has a gentle learning slope that is designed with non-technical professionals and academics in mind.
If I don’t have any IT or programming skills, can I still attend this workshop?
Yes, you can still attend the workshop as it is a beginner-friendly workshop.
How to join the interactive-online learning class after I’ve done the payment & registration?
Our system will send you an email containing a link and details to join a Google Classroom.
What platform will be utilized for this online-interactive learning workshop?
Online learning will be conducted via Zoom.us, Link to join the Zoom Class will be announced via Google Classroom.
How will the participants receive the learning materials?
Learning materials can be obtain via Google Classroom
Would I receive a certificate after participating in the Workshop?
Yes, you will receive a certificate of completion.
Irfan Chairur Rachman is a Data Science Instructor at Algoritma Data Science School with a background in informatics engineering. His expertise in automation, data engineering, data analysis, and machine learning led him to create a variety of training courses, including introduction to machine learning and large language models for public classes, data visualization for KPU, PySpark for DBS, and a scorecard for BSI. His main interests are research and creating tools and materials in the field of data science.
PT. Algoritma Data Indonesia.
RDTX Square, 9th Floor. Setiabudi, DKI Jakarta 12930.
WhatsApp: 0816-692-471
Email: community@algorit.ma
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