FutureLearn
FutureLearn Logo

Introduction to Data Science for Business 

  • Offered byFutureLearn

Introduction to Data Science for Business
 at 
FutureLearn 
Overview

Duration

4 weeks

Total fee

2,763

Mode of learning

Online

Credential

Certificate

Details Icon

Introduction to Data Science for Business
 at 
FutureLearn 
Course details

More about this course
  • Gain a foundational knowledge of data science for business applications, acting as a launchpad to help you become a successful data scientist
  • Traditionally, data was collected from a single source in a standard format, classed as 'structured' data But with data now being collected from various sources in different forms, known as unstructured data, data scientists are becoming increasingly in demand
  • This course will show you the value of data science to any business, from data security to predicting market trends Delve into the data science life cycle and how to identify and frame business needs to solve problems
  • Data science is a multidisciplinary domain that uses scientific methods, processes, algorithms, and systems to draw knowledge and insights from unstructured data
Read more

Introduction to Data Science for Business
 at 
FutureLearn 
Curriculum

The business value of data science

Welcome to the course

Introduction to data science

Data science in business

Data analytics

Scientific approach to data science

Data science as a science

Generating a hypothesis

Hypothesis testing

Performing data analysis

Introduction to data analysis

Fundamentals of spreadsheets

Performing data analysis using Excel

Data visualisation using spreadsheets

Introduction to data visualisation

Visualising data using Excel

Communicating insights

Ethics in data science

Other courses offered by FutureLearn

1.81 K
2 weeks
– / –
1.32 L
15 weeks
– / –
72.5 K
10 weeks
– / –
89.23 K
12 weeks
– / –
View Other 1956 CoursesRight Arrow Icon
qna

Introduction to Data Science for Business
 at 
FutureLearn 

Student Forum

chatAnything you would want to ask experts?
Write here...