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Udemy - Introduction to Business Analytics

      Author: Baturi   |   08 January 2021   |   comments: 0



Udemy - Introduction to Business Analytics
Created by Santiago Tacoronte | Last updated 6/2020
Duration: 4 hours | 9 sections | 39 lectures | Video: 1280x720, 44 KHz | 1.9 GB
Genre: eLearning | Language: English + Sub


Develop essential data analytics skills to grow your business
What you'll learn
Basics of analytics terminology
How data is used to make business decisions
Identify the ideal analytical methodology for your specific needs
Understand ways to collect, analyze, and visualize data
Descriptive Analytics and how they are embedded in most organisations
An understanding of how predictive models can improve your ability to make decisions in an uncertain world
Prescriptive Analytics and how it helps to formulate recommendations of what you should do
What is Data Management: Architecture, Quality and Privacy
Master fundamental concepts and practices of the analytics life cycle and understand the best practices for each stage
Requirements
NoThis is a non-technical program, no coding background is required.
Description
This is a non-technical program, no coding background is required.
This course offers an introduction to big data analytics, statistics and data-driven decision making for all business professionals, including those with no prior analytics knowledge.
Analytical skills are essential in any business. There is a growing need for employees across all areas to know how to read, interpret, and present data in a way that can be understood across all functions and inform decision making.
This course presents an overview of the field of business and marketing analytics and data science for you to make informed business decisions.
It is an introduction to the different analytics methodologies and how are they used, and is not intended to prepare learners to perform analytics themselves but to gain knowledge of what analytics can do.
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Who this course is for:Entrepreneurs/Business ownersMarketers, Bloggers, Social media managers and in general anyone working in Digital channels.Professionals looking for an up-skill opportunityFinance experts with a desire for making use of their company data.Fresh Graduates that want to get a taste of the different disciplines of analytics.

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