Business Intelligence (BI) and Predictive Analytics 101

Business Intelligence (BI) and Predictive Analytics 101, available at $44.99, has an average rating of 4.19, with 9 lectures, 1 quizzes, based on 83 reviews, and has 7480 subscribers.

You will learn about 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. This course is ideal for individuals who are All UG and PG Business, General Management, IT, Marketing and Computer Science students or Interested students to learn about the concepts of Business Intelligence and Predictive Analytics It is particularly useful for All UG and PG Business, General Management, IT, Marketing and Computer Science students or Interested students to learn about the concepts of Business Intelligence and Predictive Analytics.

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Summary

Title: Business Intelligence (BI) and Predictive Analytics 101

Price: $44.99

Average Rating: 4.19

Number of Lectures: 9

Number of Quizzes: 1

Number of Published Lectures: 9

Number of Published Quizzes: 1

Number of Curriculum Items: 10

Number of Published Curriculum Objects: 10

Original Price: $79.99

Quality Status: approved

Status: Live

What You Will 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.

Who Should Attend

• All UG and PG Business, General Management, IT, Marketing and Computer Science students
• Interested students to learn about the concepts of Business Intelligence and Predictive Analytics

Target Audiences

• All UG and PG Business, General Management, IT, Marketing and Computer Science students
• Interested students to learn about the concepts of Business Intelligence and Predictive Analytics