Understanding Data Science and its Importance.
                     UNDERSTANDING DATA 
SCIENCE AND ITS 
IMPORTANCE
What is Data Science?
• Data science is the domain of study that deals 
with vast volumes of data using modern tools and 
techniques to find unseen patterns, derive 
meaningful information, and make business 
decisions. 
• Data science uses complex machine learning 
algorithms to build predictive models.
Source: www.simplilearn.com
Why Data Science?
• Data science or data-driven science enables 
better decision making, predictive analysis, and 
pattern discovery. It lets you:
– Find the leading cause of a problem by 
asking the right questions
– Perform exploratory study on the data
– Model the data using various algorithms 
Source: www.simplilearn.com
Prerequisites for Data Science
• Here are some of the technical concepts you 
should know about before starting to learn what 
is data science.
– Machine Learning
– Modeling
– Statistics
– Programming
– Databases
Source: www.simplilearn.com
What Does a Data Scientist Do?
• A data scientist analyzes business data to extract 
meaningful insights. 
• In other words, a data scientist solves business 
problems through a series of steps.
Source: www.simplilearn.com
Steps for Data Scientist
• Ask the right questions to understand the 
problem
• Gather data from multiple sources enterprise 
data, public data, etc.
• Process raw data and convert it into a format 
suitable for analysis
• Feed the data into the analytic system—ML 
algorithm or a statistical model
• Prepare the results and insights to share with the 
appropriate stakeholders
Source: www.simplilearn.com
Must-Know Machine Learning Algorithms
• The most basic and essential ML algorithms a 
data scientist use include:
– Regression
– Clustering
– Decision Tree
– Support Vector Machines
– Naive Bayes
Source: www.simplilearn.com
Difference Between Business 
Intelligence and Data Science
• Business intelligence is a combination of the 
strategies and technologies used for the analysis 
of business data/information. 
• Like data science, it can provide historical, 
current, and predictive views of business 
operations. 
Source: www.simplilearn.com
Applications of Data 
Science
Healthcare
• Healthcare companies are using data science to 
build sophisticated medical instruments to detect 
and cure diseases.
Source: www.simplilearn.com
Gaming
• Video and computer games are now being 
created with the help of data science and that has 
taken the gaming experience to the next level.
Source: www.simplilearn.com
Recommendation 
Systems
• Netflix and Amazon give movie and product 
recommendations based on what you like to 
watch, purchase, or browse on their platforms.
Source: www.simplilearn.com