Master business intelligence essentials, from data warehousing principles to creating impactful interactive dashboards using modern BI tools.
Master business intelligence essentials, from data warehousing principles to creating impactful interactive dashboards using modern BI tools.
This comprehensive course introduces Business Intelligence fundamentals, covering data warehouse concepts, database structures, and visualization techniques. Learn to transform raw data into actionable insights using tools like Google BigQuery and Looker Studio while mastering dashboard creation for effective decision-making.
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Instructors:
English
What you'll learn
Analyze key Business Intelligence concepts and frameworks
Identify data warehouse principles and structures
Analyze data warehouse databases effectively
Apply visualization tools for interactive dashboards
Create impactful business intelligence solutions
Skills you'll gain
This course includes:
68 Minutes PreRecorded video
1 assignment, 2 discussion prompts
Access on Mobile, Tablet, Desktop
FullTime access
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There is 1 module in this course
This course provides a thorough introduction to Business Intelligence, focusing on transforming data into actionable insights. Students learn about data warehouse principles, database structures, and modern BI tools. The curriculum covers practical skills using Google BigQuery and Looker Studio for creating interactive dashboards, emphasizing real-world business decision-making applications.
Discovering BI: From Warehousing to Interactive Dashboards
Module 1 · 1 Hours to complete
Fee Structure
Payment options
Financial Aid
Instructor
Data Science Expert and Business Intelligence Innovator
Caio Avelino brings extensive expertise in Data Science, Business Intelligence, and Artificial Intelligence, combining academic excellence with practical industry experience. His educational background includes a degree in Electrical Engineering from Unicamp, international experience at Monash University in Melbourne, and specialized training in Data Science from Data Science Academy. As an instructor and professional, he specializes in complex analytics, dashboard development, and Machine Learning model creation. His teaching portfolio includes courses in Big Data Technologies, Data Warehousing, Business Intelligence, and Advanced Statistical Analysis using Seaborn. His approach emphasizes practical problem-solving and continuous learning, particularly in startup environments where he has contributed to developing innovative data solutions. His passion for knowledge sharing is evident through his training programs, helping colleagues and students master data science concepts. Currently pursuing further studies in Artificial Intelligence, he maintains a commitment to staying at the forefront of technological advancement while making complex technical concepts accessible to learners.
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