BI Foundations with SQL, ETL and Data Warehousing Specialization
Prepare yourself for your initial position in business intelligence. Develop the essential competencies required to initiate a career in business intelligence (BI) within two months. There is no prerequisite for a degree or prior experience.
Description for BI Foundations with SQL, ETL and Data Warehousing Specialization
Features of Course
Level: Beginner
Certification Degree: Yes
Languages the Course is Available: 22
Offered by: On Coursera provided by IBM
Duration: 2 months at 10 hours a week
Schedule: Flexible
Pricing for BI Foundations with SQL, ETL and Data Warehousing Specialization
Use Cases for BI Foundations with SQL, ETL and Data Warehousing Specialization
FAQs for BI Foundations with SQL, ETL and Data Warehousing Specialization
Reviews for BI Foundations with SQL, ETL and Data Warehousing Specialization
0 / 5
from 0 reviews
Ease of Use
Ease of Customization
Intuitive Interface
Value for Money
Support Team Responsiveness
Alternative Tools for BI Foundations with SQL, ETL and Data Warehousing Specialization
A data analysis course covering practical skills, data visualization in Excel and BI tools, Python for data analysis, and portfolio development through hands-on projects.
Learn to write efficient queries, perform correlations, create visualizations, and leverage sub-searches and lookups to become a Search Expert.
Prepare for data analytics career. In less than three months, gain high-demand skills and experience. No prior experience required.
Featured Tools
The course investigates the integration of AI with medical practice, science, and commerce, as well as the ways in which machine learning addresses healthcare challenges and impacts patient care quality and safety.
Create a final presentation to evaluate peer projects, train neural networks for regression and classification, and develop Python-based recommender systems. Additionally, employ KNN, PCA, and collaborative filtering.
Prepare for data analytics career. In less than three months, gain high-demand skills and experience. No prior experience required.
Learn to use Python and libraries for data tasks, understand key machine learning techniques, and apply them to real-world datasets for a strong research foundation.
The course covers the following topics: leveraging digital platform data for competitive advantage, generating personalized AI Relationship Moments, constructing networked business models, and enhancing customer engagement with data-driven AI.
Compare & Review AI Tool Directory AI Course Marketplace
Today's Featured Blogs
AI and the Future of VotingAI in CookingAI in Enhancing Mindfulness and Meditation How AI is Personalizing Fitness Plans Power of AI in Emotion Recognition AI and Personal Safety
Aimed Labs