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Data Engineering Foundation – Module 1
April 20 @ 15:00 - 16:00 SMT
Date : April 20th 2024 , Time : 12:30pm IST or 3pm SGT or 5pm AEST
The Certified Signature Programs represent a suite of educational offerings tailored by the dedicated volunteers of She Loves Data, who are not only professionals but also seasoned practitioners in their respective fields.
Designed to cater to a diverse range of learners, from beginners eager to learn to seasoned tech professionals looking to sharpen their skills, our programs offer comprehensive insights into the ever-evolving tech landscape.
Certification requires a demonstration of proficiency, with participants needing to achieve at least a 70% score on assessments. This rigorous standard maintains the certification’s prestige, ensuring it stands as a respected symbol of the participant’s acquired expertise.
About
Please join us in Module 1 of our Signature Program – Data Engineering Foundations. This event caters for all who are interested in learning about what data is, whether you’re a seasoned professional looking to expand your skill set or a newcomer to the field. As part of the event, you will be guided through hands-on exercises, practical tasks, and case study analysis to prepare you for the dynamic world of data engineering
This course consists of:
• Engineering tasks & Modern Data Stack
• Difference between different roles in data teams.
• Structures vs. Unstructured data.
• The 5 V’s of Big data
• What is Data Automation
• Web Scraping
• What is Cloud Computing
After completing all modules and the assessment tests, you will receive a certificate and a digital badge to share with potential employers and your professional network.
Speakers:
Mihna Zahir : (Data Scientist)
A seasoned data scientist boasting over 7 years of expertise. Having navigated diverse industries—agriculture, finance, healthcare, and government data—Mihna specializes in predictive analysis and crafting powerful machine learning models. Beyond her technical prowess, she is passionate about training individuals to become more data-literate, empowering them to make informed, data-driven decisions.
Arpita Chopra : (Data Analyst)
A data analyst with more than five years of experience. After navigating a variety of industries, including finance, e-commerce, education, and information technology, she is an expert in data visualization and machine learning algorithms. In addition to her professional employment, she is a self-employed Tableau instructor with a strong passion for teaching.
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