When will I have access to the lectures and assignments?

To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.

What will I get if I subscribe to this Specialization?

When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.

Is financial aid available?

Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

Data Analysis for Business

4 days left! Save on skills that make you shine with 40% off 3 months of Coursera Plus. Save now

Data Analysis for Business

This course is part of Data & Finance for the future Specialization

Instructor: Fabiana Cherubim Bortoleto

Included with

Learn more

5 modules

Gain insight into a topic and learn the fundamentals.

29 reviews

Intermediate level

Some related experience required

2 weeks to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

5 modules

Gain insight into a topic and learn the fundamentals.

29 reviews

Intermediate level

Some related experience required

2 weeks to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

Skills you'll gain

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

20 assignments

Taught in English

See how employees at top companies are mastering in-demand skills

Learn more about Coursera for Business

logos of Petrobras, TATA, Danone, Capgemini, P&G and L'Oreal

Build your subject-matter expertise

This course is part of the Data & Finance for the future Specialization

When you enroll in this course, you'll also be enrolled in this Specialization.

Learn new concepts from industry experts
Gain a foundational understanding of a subject or tool
Develop job-relevant skills with hands-on projects
Earn a shareable career certificate

There are 5 modules in this course

The Data Science in Business course equips participants with the tools and techniques to leverage data for informed decision-making in the corporate world. Covering data analysis, and data-driven strategies, this course empowers individuals to extract valuable insights, enhance business processes, and drive strategic initiatives through data-driven approaches. Combining theoretical foundations with hands-on applications, learners will be well-prepared to navigate the intersection of data science and business analytics.

Module details

This week, you’ll learn the impact of data analysis and its elements on business. Also, the diferences of variables, measurement scales and types of data analysis.

What's included

5 videos5 readings4 assignments1 discussion prompt

5 videosTotal 24 minutes

Information, Database and Statistics7 minutes
Types of Variable and Measurement Scales5 minutes
Types and Sources of Data5 minutes
Types of Data Analysis3 minutes
Example in Excel of a Database Construction5 minutes

5 readingsTotal 127 minutes

My Bio2 minutes
Syllabus10 minutes
Week 1 - Slide deck45 minutes
Introduction30 minutes
Data, data analysis, and descriptive statistics40 minutes

4 assignmentsTotal 45 minutes

Information, database and statistic10 minutes
Types of data10 minutes
Data Analysis15 minutes
Types of variables10 minutes

1 discussion promptTotal 10 minutes

Why being data-driven is so important?10 minutes

This week, you’ll learn how to tell something through data. Managing data in graphs and tables, and the principals pitfalls about data visualization.

What's included

7 videos2 readings4 assignments1 discussion prompt

7 videosTotal 62 minutes

Tables7 minutes
Charts for Categorical Variables4 minutes
Charts for Numerical Variables - Part 12 minutes
Charts for Numerical Variables - Part 22 minutes
Other Types of Chart and the Pitfalls of DCOVA7 minutes
Excel Example5 minutes
Recording of Data Analysis for Business Live Session on 22-03-17 20:07:20 [21:09]35 minutes

2 readingsTotal 135 minutes

Week 2 - Slide deck45 minutes
Week 2 reading: Data Visualization 90 minutes

4 assignmentsTotal 45 minutes

Pitfalls of DCOVA15 minutes
Tables10 minutes
Chart10 minutes
Numerical Charts10 minutes

1 discussion promptTotal 10 minutes

What is a good data visualization?10 minutes

This week, you’ll learn how to deal with data and how to describe data in terms of some parameters: the differences between dispersion and central tendcy measures.

What's included

8 videos2 readings4 assignments1 discussion prompt

8 videosTotal 30 minutes

Measures of Central Tendency5 minutes
Measures of Variation and Shape5 minutes
Skewness and Kurtosis2 minutes
Quartiles and Percentiles3 minutes
Boxplot1 minute
Population and Sample3 minutes
Covariance and Correlation3 minutes
Excel Example7 minutes

2 readingsTotal 120 minutes

Week 3 - Slide deck45 minutes
Week 3 reading: Descriptive Measures75 minutes

4 assignmentsTotal 55 minutes

Boxplot15 minutes
Population and sample15 minutes
Central Tendency15 minutes
Shape10 minutes

1 discussion promptTotal 10 minutes

Sampling10 minutes

In this week you will see some probability principles which are linked with datasets and data visualization. Also, statistical principles which are applied in data analysis.

What's included

7 videos5 readings4 assignments1 discussion prompt

7 videosTotal 85 minutes

Probability Basics for Inferential Statistics9 minutes
Main probability distributions: uniform, binomial, Poisson, normal, and exponential11 minutes
Sampling and Confidence Interval5 minutes
Confidence Interval for the Mean10 minutes
Hypothesis Testing Fundamentals5 minutes
T and Z Test for the Mean19 minutes
Recording of Data Analysis for Business Live Session on 22-03-31 20:01:35 [04:00]25 minutes

5 readingsTotal 225 minutes

Week 4 - Slide deck45 minutes
Probability Concepts and their analysis30 minutes
Probability fundamentals - part 230 minutes
Sampling and Confidence Interval90 minutes
Hypothesis testing30 minutes

4 assignmentsTotal 55 minutes

Confidence Interval10 minutes
Hypothesis testing20 minutes
Probability15 minutes
Probability10 minutes

1 discussion promptTotal 10 minutes

Predictive vs. Analytics10 minutes

In this week you will see topics in linear regressions. Regression analysis is used to investigate the relationship between two or more variables. Often used in predicting some characteristic using one or more independent variables .