Certificate Overview:
Professional Certificate in Digital Marketing
Marketing analytics gathers data from across multiple marketing channels, providing marketers with a solid view of how their campaigns are performing based on a series of business metrics. The goal of this practice is to leverage these insightful findings to make better decisions and optimize future marketing efforts.
Bootcamp Overview
Our Data Engineering Accelerated Bootcamp is a comprehensive training modality that focuses on the fundamental skills and real-world experience in demand today in the field of data engineering. You will emerge from this rich learning experience with a new set of technical skills, equipped to navigate cutting-edge developments and incorporate best practices into your work to thrive in multiple industries.
About the Accelerated Bootcamp Structure
Onboarding
In the first week, participants will be welcomed to the program by the instructor and provided with an introduction to the Data Engineering Accelerated Bootcamp, which maps out their learning journey, expectations, and milestones.
Data Engineering Course
Over the next eight weeks, this highly practical course will increase your data engineering through real-world examples. You will discover and leverage the latest industry technologies, tools and trends to thrive in your workplace. The course is followed by a one-week wrap-up to help consolidate key takeaways and allow you to complete and submit any remaining assignments or forum contributions.
Data Engineering Intensive Program
The final three weeks are dedicated to the final project. Participants will engage in topic-specific instructor-led interactive sessions and presentations by industry professionals. They will also create a professional development action plan through individual and group career coaching sessions..
Credential Award Ceremony
The bootcamp culminates in a credential award ceremony, hosted online, to acknowledge participants’ advancement and achievements.
After completing the Bootcamp, you will be able to:
- Establish a framework for data acquisition, storage, transformation, and management.
- Utilize programming languages such as Python, SQL, and NoSQL to query and analyze data.
- Design data warehouses to collect, store, and manage data to support business intelligence.
- Comply with data privacy and security regulations to safely store and manage data.
- Analyze and visualize data using Tableau reports and dashboards to communicate insights and inform decision-making.
- Utilize Google Cloud services for relational databases.
- Collaborate in a team to develop a data pipeline for a specific business use case.
After successfully completing the program, you will receive a credential certified by the University of Chicago.
Meet Your Instructor
Abid Ali, PhD
Data Engineering Instructor
Abid Ali has designed and delivered large-scale transformations worldwide across industries. He leads internal initiatives and capabilities and works with C-suite executives to devise strategies for migration and transition to modern data platforms.
Building a Career in Data Engineering
Data engineers are in charge of building and maintaining an organization’s data infrastructure. Working with databases, data warehouses, and data pipelines, they must identify trends in data—an essential skill for managing and converting data into information that can drive results.
Data engineering is needed in practically every industry. As long as there is data, data engineers will be in demand—and this trend isn’t showing any signs of slowing. A career in data engineering is both challenging and rewarding. And with the right skill set, it may be one of the most lucrative data-focused roles.
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%Admissions Process
1
APPLICATION FEE
Pay the non-refundable US$150 fee and complete the application.
2
INTERVIEW
Receive a call for an interview with our Admissions team.
3
RESULTS
Our Admissions Committee will inform you of their final decision within two business days.