Introduction to Business Analytics

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Free Online Course: Introduction to Business Analytics provided by LinkedIn Learning is a comprehensive online course, which lasts for 1-2 hours worth of material. The course is taught in English and is free of charge. Upon completion of the course, you can receive an e-certificate from LinkedIn Learning. Introduction to Business Analytics is taught by John David Ariansen and Madecraft.

Overview
  • Learn the basics of business analytics. Discover tools and techniques for collecting, tracking, analyzing and making data informed decisions with your organization’s data.

    Data is an extremely valuable resource. But without study, it can’t be used to create a data-informed strategy. Business analytics helps organizations leverage data to make better, more informed decisions. This course is a basic introduction that lays out the foundations of analytics in an easy-to-understand and engaging manner. Expert John David Ariansen explains why data is so powerful, what insights really matter, and how to use common analysis tools and techniques. Additionally, John David explores data source maps, database management, and all the various data sources that may be encountered. By the end of the course, you should have the skills necessary to start collecting, tracking, and analyzing a variety of data, including sales, marketing, and psychographic metrics.This course was created by Madecraft. We are pleased to host this content in our library.

Syllabus
  • Introduction

    • Empower your business through analytics
    1. How Can Data Improve Your Business?
    • What is the value of data?
    • How can data drive my decisions?
    • Data driven versus data informed
    • Three types of analytics
    2. Analytics Fundamentals
    • Data governance
    • Data tracking tools
    • Effective data analysis
    • Finding insights in data
    • Statistics for analysts
    • Data-informed decision-making
    3. Data Source Map
    • Data source map
    • Internal versus external data sources
    • Combining data sources
    4. Managing Data
    • Database management
    • Data silos
    • Data management tools
    • Visualizing data
    • Reporting infrastructure
    5. The Value of Data Sources
    • Sales data
    • Marketing data
    • Cost data
    • Psychographic data
    • External data
    6. Tracking Data
    • Key sales metrics
    • Tools to track sales data
    • Key marketing metrics
    • Tools to track marketing data
    • Key cost metrics to track
    • Tools to track cost data
    • Key psychographic metrics
    • Tools to track psychographic data
    Conclusion
    • Next steps