Python or R for Data Analysis: Which Should You Learn?
February 4, 2025
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This course is part of Advanced Business Analytics Specialization
Instructor: David Torgerson
183,257 already enrolled
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(3,142 reviews)
(3,142 reviews)
Describe the information lifecycle from events in the real world to business actions
Recognize the types of events and characteristics that are often used in business analytics
Explain how the data is captured by source systems and stored using both traditional and emergent technologies
Gain familiarity with relational databases and learn how to use a simple but powerful language called SQL to extract analytical data sets of interest
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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.
Welcome to week 1! In this module we’ll learn how to think about analytical problems and examine the process by which data enables analysis & decision making. We’ll introduce a framework called the Information-Action Value chain which describes the path from events in the world to business action, and we’ll look at some of the source systems that are used to capture data. At the end of this course you will be able to: Explain the information lifecycle from events in the real world to business actions, and how to think about analytical problems in that context , Recognize the types of events and characteristics that are often used in business analytics, and explain how the data is captured by source systems and stored using both traditional and emergent technologies, Gain a high-level familiarity with relational databases and learn how to use a simple but powerful language called SQL to extract analytical data sets of interest, Appreciate the spectrum of roles involved in the data lifecycle, and gain exposure to the various ways that organizations structure analytical functions, Summarize some of the key ideas around data quality, data governance, and data privacy
9 videos3 readings1 assignment2 discussion prompts
In this module we’ll learn about the technologies that enable analytical work. We’ll examine data storage and databases, including the relational database. We’ll talk about Big Data and Cloud technologies and ideas like federation, virtualization, and in-memory computing. We’ll also walk through a landscape of some of the more common tool classes and learn how these tools support common analytical tasks.
7 videos3 readings1 assignment2 discussion prompts
In this module we’ll learn how to extract data from a relational database using Structured Query Language, or SQL. We’ll cover all the basic SQL commands and learn how to combine and stack data from different tables. We’ll also learn how to expand the power of our queries using operators and handle additional complexity using subqueries.
7 videos3 readings1 assignment1 discussion prompt
In this module we focus on the people and organizations that work with data and actually execute analytics. We’ll discuss who does what and see how organizational structures can influence efficiency and effectiveness. We’ll also look at the supporting rules & processes that help an analytical organization run smoothly, like Data Governance, Data Privacy, and Data Quality.
6 videos2 readings1 assignment1 peer review2 discussion prompts
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Reviewed on Nov 22, 2020
Overall I liked it. I would like to see more SQL practice and maybe a built-in tool to write SQL that shows where errors can be shown along with suggestions on how to fix the errors.
Reviewed on Nov 19, 2017
Great course to start your career in Business Analytics. Rich content and well organised. Thoroughly enjoyed doing this course. Highly recommended this course for Analytics enthusiasts.
Reviewed on Sep 23, 2020
Very good introduction course. Clear and understandable explanations for beginners, good structure and helpful examples. Also the provided slides are beneficial for later reference and repetition.
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