The Path to Insights: Data Models and Pipelines
This Coursera course, "Data Models and Pipelines," targets individuals already working in the industry, providing them with advanced knowledge in building data models, applying ETL processes, and constructing data pipelines for business insights. It covers various essential skills, including data transformation, database optimization, and Google Dataflow/Google BigQuery, culminating in a shareable certificate to boost career prospects.
The course is divided into four modules, each focusing on a specific aspect of data management and analysis. From understanding database elements and ETL processes in the first module to exploring optimization techniques and data integrity in the third, the program equips learners with practical skills to build efficient and reliable data pipelines. The final module involves a hands-on project where participants create a pipeline to deliver data and develop reports, solidifying their understanding of the concepts learned throughout the course.
The Path to Insights: Data Models and Pipelines
Try for Free: Enroll to start your 7-day full access free trial
37,838 already enrolled
Included with
Course
Gain insight into a topic and learn the fundamentals
Advanced level
Designed for those already in the industry
Flexible schedule
Learn at your own pace
What you'll learn
-
Build data models that answer business questions
-
Apply the ETL process to workplace scenarios
-
Construct a pipeline to deliver necessary data
Skills you'll gain
-
Category: Extraction, Transformation And Loading (ETL)
-
Category: Data transformation
-
Category: Data Management
-
Category: Database Optimization
-
Category: Google Dataflow/Google BigQuery
Details to know
Shareable certificate
Add to your LinkedIn profile
Course
Gain insight into a topic and learn the fundamentals
Advanced level
Designed for those already in the industry
Flexible schedule
Learn at your own pace
See how employees at top companies are mastering in-demand skills
Build your Data Analysis expertise
- Learn new concepts from industry experts
- Gain a foundational understanding of a subject or tool
- Develop job-relevant skills with hands-on projects
- Earn a shareable career certificate from Google
Earn a career certificate
Add this credential to your LinkedIn profile, resume, or CV
Share it on social media and in your performance review
There are 4 modules in this course
You’ll start this course by exploring data modeling, common schemas, and database elements. You’ll consider how business needs determine the kinds of database systems that BI professionals implement. Then, you’ll discover pipelines and ETL processes, which are tools that move data and ensure that it’s accessible and useful.
What's included
19 videos16 readings8 quizzes1 discussion prompt3 plugins
You’ll learn more about database systems, including data marts, data lakes, data warehouses, and ETL processes. You’ll also investigate the five factors of database performance: workload, throughput, resources, optimization, and contention. Finally, you’ll consider how to design efficient queries that get the most from a system.
What's included
6 videos7 readings3 quizzes1 discussion prompt2 plugins
You’ll learn about optimization techniques including ETL quality testing, data schema validation, business rule verification, and general performance testing. You’ll also explore data integrity and learn how built-in quality checks defend against potential problems. Finally, you’ll focus on verifying business rules and general performance testing to make sure pipelines meet the intended business need.
What's included
10 videos10 readings5 quizzes2 plugins
You’ll complete an end-of-course project by creating a pipeline process to deliver data to a target table and developing reports based on project needs. You’ll also ensure that the pipeline is performing correctly and that there are built-in defenses against data quality issues.
What's included
5 videos11 readings3 quizzes2 discussion prompts
Instructor
324 Courses10,165,889 learners
Offered by
Recommended if you're interested in Data Analysis
Why people choose Coursera for their career
Felipe M.
Learner since 2018
"To be able to take courses at my own pace and rhythm has been an amazing experience. I can learn whenever it fits my schedule and mood."
Jennifer J.
Learner since 2020
"I directly applied the concepts and skills I learned from my courses to an exciting new project at work."
Larry W.
Learner since 2021
"When I need courses on topics that my university doesn't offer, Coursera is one of the best places to go."
"Learning isn't just about being better at your job: it's so much more than that. Coursera allows me to learn without limits."
Learner reviews
Showing 3 of 457
4.7
457 reviews
-
5 stars
81.04%
-
4 stars
11.76%
-
3 stars
3.26%
-
2 stars
1.96%
-
1 star
1.96%
5
Reviewed on Apr 12, 2023
4
Reviewed on Jun 27, 2023
4
Reviewed on Jun 30, 2024
New to Data Analysis? Start here.
Open new doors with Coursera Plus
Unlimited access to 7,000+ world-class courses, hands-on projects, and job-ready certificate programs - all included in your subscription
Advance your career with an online degree
Earn a degree from world-class universities - 100% online
Join over 3,400 global companies that choose Coursera for Business
Upskill your employees to excel in the digital economy
Frequently asked questions
Organizations of all types and sizes have business processes that generate massive volumes of data. Information is constantly created by computers, the internet, phones, texts, streaming video, photographs, sensors, and more. In the global digital landscape, data is increasingly imprecise, chaotic, and unstructured. As the speed and variety of data increase exponentially, organizations are struggling to keep pace.
Business intelligence is the work involved in gathering, structuring, interpreting, monitoring, and reporting this data in accessible formats that enable stakeholders to understand and use it effectively. Organizations rely on this information to make better strategic and operational business decisions. As a result, there is high demand in the marketplace for business intelligence professionals with the skills and expertise to achieve these goals.
Business intelligence professionals are critical to many organizations today. They use data to help solve business problems, performing a variety of tasks that enable decision makers to understand and use data effectively. Some common responsibilities of BI professionals include gathering project requirements from stakeholders, retrieving and organizing large datasets, and creating visualizations and dashboards to report insights to others. Organizations use the intelligence they share to make decisions, develop new processes, create business strategies, and conduct deeper analyses.
As businesses generate more and more data, there is increased demand for BI professionals to transform this data into meaningful business insights. BI skills are transferable to jobs across multiple industries, including financial services, education, healthcare, and manufacturing. The Google Business Intelligence Certificate will help you prepare for a job in the BI field.