Specialization Overview

Great business analysts have been called the “unicorns” of the business world.
They are supposed to deeply understand business concepts, wield powerful quantitative skills, execute exceptional critical and structured thinking, and persuasively communicate complicated concepts using exciting visualizations and non-technical knowledge.
How is it possible for one person to even know what all these things mean, let alone master them?
We’re here to tell you it is possible. By the end of this specialization, you will be able to:

Understand and be able to identify relevant business metrics (Course 1: Business Metrics for Data-Driven Companies)
Be an expert in using Excel to do business data analysis (Course 2: Mastering Data Analysis in Excel)
Be a Tableau power-user who can produce compelling dynamic data visualizations, and an experienced presenter of persuasive business proposals (Course 3: Data Visualization and Communication with Tableau)
Be a specialist in using Structured Query Language, or SQL, to retrieve and analyze big data from industrial-sized relational databases (Course 4: Managing Big Data with MySQL)

In the specialization final project: Excel to MySQL: Analytics Techniques for Business Capstone, you will combine all these skills together to address a realistic business analytics project. In short, you will be your own personalized version of a business analyst unicorn!

Course Objectives:

For this course, you will learn best practices for how to use data analytics to make any company more competitive and more profitable.
This course provides learners with the knowledge and tools to successfully make recommendations to employers about how data analysis could help their business situation. You will learn to:

1.Recognize the most critical business metrics and distinguish them from mere data;
2.Analyze the different roles Business Analysts, Business Data Analysts, and Data Scientists play in various types of companies;
3.Describe the skills required to be hired for, and succeed at, these high-demand jobs; and
4.Define the different data-related roles needed in a company in order to implement and make use of data analysis.

Finally, you will be able to score any company on how effectively it embraces Big Data Culture. Digital companies like Amazon, Uber, and Airbnb are transforming entire industries through their creative use of Big Data.
You’ll understand why these companies are so disruptive and how they use data-analytics techniques to out-compete traditional companies.

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Last updated 6 years ago

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Course Objectives:

For this course, you will learn best practices for how to use data analytics to make any company more competitive and more profitable.

This course provides learners with the knowledge and tools to successfully make recommendations to employers about how data analysis could help their business situation. You will learn to:

1.Recognize the most critical business metrics and distinguish them from mere data;
2.Analyze the different roles Business Analysts, Business Data Analysts, and Data Scientists play in various types of companies;
3.Describe the skills required to be hired for, and succeed at, these high-demand jobs; and
4.Define the different data-related roles needed in a company in order to implement and make use of data analysis.

Finally, you will be able to score any company on how effectively it embraces Big Data Culture. Digital companies like Amazon, Uber, and Airbnb are transforming entire industries through their creative use of Big Data.

You’ll understand why these companies are so disruptive and how they use data-analytics techniques to out-compete traditional companies.