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BI Developer

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Salaries for BI Developer

City
Median
New York
$178,000
San Francisco
$145,000
Seattle
$150,000
See all salaries
City
Median
New York
$178,000
San Francisco
$145,000
Seattle
$150,000
Austin
$120,000
Toronto
$112,000
London
£65,000
Paris
€75,000
Berlin
€75,000
Tel Aviv
₪846,000
Singapore
S$129,000
Beijing
¥231,000
Shanghai
¥532,000
Shenzhen
¥380,000
Bengalaru
₹1,000,000
Bengalaru
₹1,576,000
Delhi
₹780,000
Bars indicate relevance. All salaries presented are estimates. Completion of this course does not guarantee or imply job placement or career outcomes.

Path to BI Developer

Take the first step.
We've curated 17 courses to help you on your path to BI Developer. Use these to develop your skills, build background knowledge, and put what you learn to practice.
Sorted from most relevant to least relevant:

Reading list

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Provides a comprehensive guide to creating a hybrid workplace that supports the needs of employees and organizations.
Provides a comprehensive guide for leaders in the digital workplace, and offers insights into how to create a successful remote work environment.
Provides a comprehensive guide to managing and leading remote teams, and offers insights into the future of remote work.
Provides a comprehensive overview of time intelligence functions in DAX, including how to use them to create time-based calculations and analysis in Power BI reports.
Provides a comprehensive overview of business intelligence, covering the key concepts, technologies, and applications. It's written by three leading experts in the field and valuable resource for anyone who wants to learn more about BI.
Provides insights into the benefits and challenges of remote work, and offers practical advice for creating a successful remote work environment.
Provides a comprehensive overview of deep learning, a subfield of machine learning that has gained popularity in recent years. It covers the different deep learning algorithms, as well as the challenges and opportunities of using deep learning.
Provides a comprehensive overview of business intelligence and data warehousing. It covers the key concepts, technologies, and applications of BI and data warehousing.
Provides a comprehensive guide to creating and managing a digital workplace, and offers insights into the benefits and challenges of digital transformation.
Provides a detailed overview of the time intelligence functions in DAX, including how to use them to create time-based calculations and analysis in Power BI reports.
Explores the benefits of creating a collaborative workspace, and provides tools and strategies for fostering innovation and continuous improvement.
Provides a comprehensive overview of data mining, a key technology used in business intelligence. It covers the fundamental concepts of data mining, as well as the major data mining algorithms.
Provides a deep dive into data warehousing, a critical component of business intelligence. It covers the technical aspects of data warehousing, such as data modeling, ETL, and data quality.
Explores the impact of technology and globalization on the future of work, and provides insights into how organizations can adapt to these changes.
Provides a practical guide to using time intelligence functions in Power BI, including how to create time-based calculations and analysis in Power BI reports.
Provides a practical guide to data science for business professionals. It covers the different techniques used in data science, as well as the challenges and opportunities of using data science in business.
Provides a hands-on guide to machine learning with R, a popular programming language for data science. It covers the different machine learning algorithms, as well as the R packages used for machine learning.
Provides a practical guide to machine learning for business professionals. It covers the different types of machine learning algorithms, as well as the challenges and opportunities of using machine learning in business.
Practical guide to business intelligence for managers. It covers the business value of BI, how to develop a BI strategy, and how to use BI to improve decision-making.
Provides a comprehensive overview of time intelligence in Power BI, including how to use it to create time-based calculations and analysis in Power BI reports.
Provides a practical guide to data visualization, a key component of business intelligence. It covers the different types of data visualizations, as well as the best practices for creating effective data visualizations.
Covers the design of information dashboards, a key component of business intelligence. It provides practical advice on how to create dashboards that are effective and easy to use.
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