What you’ll learn
- Demonstrate a thorough understanding of the concepts, scope, and importance of Business Intelligence (BI) and predictive analytics.
- Acquire skills to identify, collect, clean, transform, and integrate data from various sources for BI and predictive analytics projects.
- Utilize statistical methods and data visualization techniques to summarize and interpret data.
- Develop and evaluate predictive models using techniques such as regression, classification, and clustering.
- Apply advanced methods, including time series analysis, machine learning algorithms, and text mining, to complex business problems.
- Understand the characteristics of big data and leverage big data technologies like Hadoop and Spark.
- Implement real-time analytics solutions to provide immediate insights and responses to ongoing business activities.
- Develop project planning and management skills specific to BI and predictive analytics initiatives.
- Ensure compliance with legal and regulatory requirements in the handling and analysis of data.
- Implement and utilize cloud-based platforms for BI and predictive analytics, such as AWS, Azure, and Google Cloud.
- Implement and utilize cloud-based platforms for BI and predictive analytics, such as AWS, Azure, and Google Cloud.
- Explore various career paths and opportunities, identifying necessary skills and certifications for success in the field.
How to Enroll Business Intelligence (BI) and Predictive Analytics 101 course?
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