2. slidesmania.com
Definition
● Data science combines multiple fields, including statistics, scientific methods, artificial intelligence
(AI), and data analysis, to extract value from data.
● Those who practice data science are called data scientists, and they combine a range of skills to
analyze data collected from the web, smartphones, customers, sensors, and other sources to derive
actionable insights.
● Data science encompasses preparing data for analysis, including cleansing, aggregating, and
manipulating the data to perform advanced data analysis.
● Analytic applications and data scientists can then review the results to uncover patterns and enable
business leaders to draw informed insights.
3. slidesmania.com
Importance of Data Science
● Data is a precious asset of any organization. It helps firms understand and enhance their processes,
thereby saving time and money.
● Wastage of time and money, such as a terrible advertising decision, can deplete resources and
severely impact a business.
● The efficient use of data enables businesses to reduce such wastage by analyzing different
marketing channels’ performance and focusing on those offering the highest ROI.
● Thus, a company can generate more leads without increasing its advertising spend.
4. slidesmania.com
Helpful Links on Data Science
https://www.datacamp.com/
https://www.youtube.com/watch?v=05hKlpPgnIA
https://www.youtube.com/watch?v=H4YcqULY1-Q
https://www.udemy.com/topic/data-science/
https://www.w3schools.com
https://www.youtube.com/watch?v=N6BghzuFLIg
https://www.udemy.com/share/103wwO3@2rts1AYE8JVr08VOrmqpJX1oyCEUwDJvPXmHLVOU0qfivtntCMAB86EJlBfZf-
f8Gw==/
https://techcommunity.microsoft.com/t5/educator-developer-blog/introducing-data-science-for-beginners/ba-p/2796770
https://towardsdatascience.com/5-steps-of-a-data-science-project-lifecycle-26c50372b492