Explore

Introduction to Data Analytics for Business

Approx. 12 hours to complete

Save Course

Go to Course

Course Summary

This course will teach you how to apply data analytics tools and techniques to business decisions. You will learn how to use data to make informed decisions, analyze complex problems, and communicate your findings effectively.

Key Learning Points

Learn how to use data analytics tools and techniques to make informed business decisions
Analyze complex problems and communicate your findings effectively
Get hands-on experience with real-world projects

Learning Outcomes

Understand how data analytics can be applied to business decisions
Learn how to use data analytics tools and techniques
Develop skills in analyzing complex problems and communicating findings effectively

Prerequisites or good to have knowledge before taking this course

Basic understanding of statistics and data analysis
Familiarity with spreadsheets and data visualization tools

Course Difficulty Level

Intermediate

Course Format

Self-paced online course
Video lectures
Hands-on projects

Similar Courses

Data Analysis and Presentation Skills: the PwC Approach
Data Analytics Foundations for Accountancy II
Business Analytics Fundamentals

Related Education Paths

Related Books

Description

This course will expose you to the data analytics practices executed in the business world. We will explore such key areas as the analytical process, how data is created, stored, accessed, and how the organization works with data and creates the environment in which analytics can flourish.

What you learn in this course will give you a strong foundation in all the areas that support analytics and will help you to better position yourself for success within your organization. You’ll develop skills and a perspective that will make you more productive faster and allow you to become a valuable asset to your organization. This course also provides a basis for going deeper into advanced investigative and computational methods, which you have an opportunity to explore in future courses of the Data Analytics for Business specialization.

Outline

Data and Analysis in the Real World
Introduction to the Course
Introduction to the Specialization
0. Introduction to Data & Analysis in Real World
1. Thinking about Analytical Problems
2. Conceptual Business Models
3. The information-Action Value Chain (Part 1)
4. The information-Action Value Chain (Part 2)
5. Real World Events and Characteristics
6. Data Capture by Source Systems
Week 1 Lecture Slides
Week 1 Quiz Answer Key
You can now start part 1 of the final assignment!
Week 1 Quiz

Analytical Tools
0. Introduction - Analytical Technologies
1. Data Storage and Databases
2. Big Data & the Cloud
3. Virtualization, Federation, and In-Memory Computing
4. The Relational Database
5. Data Tools Landscape
6. The Tools of the Data Analyst
Week 2 Lecture Slides
Week 2 Quiz Answer Key
You can now start part 2 of the final assignment!
Week 2 Quiz

Data Extraction Using SQL
0. Introduction - Data Extraction Using SQL
1. Introduction to SQL
2. Aggregating and Sorting Data in SQL
3. Extracting Data from Multiple Tables
4. Stacking Data with UNION Command
5. Extending SQL Queries Using Operators
6. Using SQL Subqueries
Week 3 Lecture Slides
Week 3 SQL Assignment Answer Key
You can now start part 3 of the final assignment!
SQL Coding Assignment

Real World Analytical Organizations
0. Introduction to Real World Analytical Orgs
1. Analytical Organizations – Roles
2. Analytical Organizations – Structures
3. Data Governance
4. Data Privacy
5. Data Quality
Week 4 Lecture Slides
Week 4 Quiz Answer Key
Week 4 Quiz

Summary of User Reviews

Learn Data Analytics for Business with Coursera. This course has received positive reviews from students who found the course content and instructors to be helpful.

Key Aspect Users Liked About This Course

The course content is well-organized and easy to follow.

Pros from User Reviews

The instructors are knowledgeable and engaging
The course offers practical skills that can be applied in real-world business scenarios
The course offers flexible learning options, allowing students to learn at their own pace
The course offers a comprehensive overview of data analytics for business

Cons from User Reviews

Some students found the course to be too basic
The course may not be suitable for those with advanced knowledge of data analytics
The course may be too time-consuming for those with a busy schedule
Some students found the course to be too theoretical and not practical enough

Recommended for you

Fundamentals of Apache Flink

Use Apache Flink and its ecosystem to process real-time big data Have you used Flink, but want to learn how to set it up and use it properly?...

Save Course

Data Science for Marketing Analytics

Achieve your marketing goals with the data analytics power of Python Then, you'll learn how to segment a population into groups and use different clustering techniques to evaluate customer segmentation....

Save Course

Introduction to Data Analytics for Managers

Explore data science and analyze business data with Microsoft Azure through the use of SQL, machine learning, and other statistical techniques focused on business applications....

Save Course

SQL for Data Science Capstone Project

Data science is a dynamic and growing career field that demands knowledge and skills-based in SQL to be successful. You will choose a dataset and develop a project proposal....

Save Course