Nowadays data is essential in the business environment to be gain a global view of an organization's situation and to be able to make better decisions. Against this background, Big Data is a booming sector in multiple areas that opens up different job opportunities, such as the role of Data Analyst.
Business Analytics
Gain insight into a topic and learn the fundamentals.
Beginner level
Recommended experience
7 hours to complete
3 weeks at 2 hours a week
Flexible schedule
Learn at your own pace
What you'll learn
The phases of a data-driven project and the job profiles involved, as well as the best ways to analyze and share your results.
Details to know
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Recently updated!
September 2024
Assessments
7 quizzes
Taught in English
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There are 7 modules in this course
This module introduces the phenomenon of Big Data. And shows you the importance of data in today's society as well as the main trends in the business environment, focusing on the importance of making data-driven decisions.
What's included
7 videos10 readings1 quiz
Throughout this module, we will discuss the role, responsibilities and skills needed to be a data analyst. We'll also take a short tour of the infrastructure, analytics, and applications used to capture and analyze data.
What's included
6 videos11 readings1 quiz
In this module, we will learn the phases of the cycle of a data-based project, focusing on those with more active involvement of the data analyst.
What's included
8 videos11 readings1 quiz
In this module, we will focus on the characteristics that quality data must meet. And we will learn the main causes and consequences of using low quality data, focusing on establishing good practices to improve its quality.
What's included
4 videos5 readings1 quiz
In this module, we will learn about the basic concepts of descriptive statistics that every data analyst should know to perform their work efficiently.
What's included
8 videos19 readings1 quiz
In this module, we will focus on the normal distribution, its properties and main uses. We will also learn the concepts of population and sample, and parameter estimation (point and interval). We will also offer a definition of hypothesis testing, and we will discover other concepts of inferential statistics that will surely be very useful.
What's included
5 videos10 readings1 quiz
In this module, we will learn about the importance of knowing how to transmit the information obtained from data clearly and concisely to attract the interest of our audience.
What's included
5 videos16 readings1 quiz
Instructor
Offered by
Recommended if you're interested in Data Analysis
Coursera Project Network
LearnQuest
University of Illinois Urbana-Champaign
University of Illinois Urbana-Champaign
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