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Title: Introduction to Data Science
Description: In this note, following topics have been covered: • What is Data Science? • Who is a Data Scientist? • Roadmap to Becoming a Data Scientist • Data Science Core Concepts (Total Life Cycle, Statistics and Probability, Machine Learning, Core Algorithms, Deep Learning) • Data Science for Non-Programmers • Bonus Sections (Creating a Data Scientist Resume, Data Science Interview Questions and Answers)
Description: In this note, following topics have been covered: • What is Data Science? • Who is a Data Scientist? • Roadmap to Becoming a Data Scientist • Data Science Core Concepts (Total Life Cycle, Statistics and Probability, Machine Learning, Core Algorithms, Deep Learning) • Data Science for Non-Programmers • Bonus Sections (Creating a Data Scientist Resume, Data Science Interview Questions and Answers)
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Introduction to Data Science
Data science is a fascinating field with a high demand for skilled
professionals
...
What is Data Science?
With the development of new technologies, there has been a rapid
increase in the amount of data
...
Technically, data science is defined as the process of extracting
knowledge and insights from complex and large sets of data by using
processes like data cleaning and data visualization
...
It continuously combines the
data from drivers, passengers, and pedestrians and then uses machine
learning algorithms to send real traffic updates by way of coloured lines
on the graphic layers
...
As data science continues to evolve, the demand for skilled
professionals in this domain is also increasing drastically
...
How Data Science is Used
Data science is all about extracting useful insights from data and using
it to grow your business
...
5 petabytes of
data every hour
...
The data analysts and data scientists at Walmart know every
detail about their customers
...
For instance, during
Halloween sales, an analyst at Walmart found out that a specific cookie
was popular across all Walmart stores, but two stores were not selling
them at all
...
Another example is that
through association rule mining, Walmart found out that strawberry
poptart sales increased by seven times before a hurricane
...
This is where data science comes in
...
How Walmart Uses Data Science to Improve Their
Business
Walmart is known for its successful business strategies, and one of the
main reasons for their success is the huge amount of data they collect
and analyze
...
Walmart invests a lot of time,
effort, and money in analyzing data to find any hidden patterns or
associations between products
...
What is Data Science?
Data Science is the process of uncovering hidden insights from data
that can help companies make smart business decisions
...
Data Scientists use various tools and technologies to draw
insights and meaningful patterns from data
...
Some of the essential tools and
technologies include:
•
Machine Learning: to build and test models
•
Programming Language: to manipulate data
•
Statistics: to make predictive analyses
•
Database: to access data
•
Big Data: to work with complex data sets
•
Deep Learning: to draw insights from unstructured data
The Role of a Data Scientist
A data scientist is responsible for building, testing, and iterating
machine learning models
...
They also research data to identify opportunities
and draw meaningful insights from it
...
One should also have a good
understanding of statistics, databases, and big data technologies such
as Hadoop and Spark
Title: Introduction to Data Science
Description: In this note, following topics have been covered: • What is Data Science? • Who is a Data Scientist? • Roadmap to Becoming a Data Scientist • Data Science Core Concepts (Total Life Cycle, Statistics and Probability, Machine Learning, Core Algorithms, Deep Learning) • Data Science for Non-Programmers • Bonus Sections (Creating a Data Scientist Resume, Data Science Interview Questions and Answers)
Description: In this note, following topics have been covered: • What is Data Science? • Who is a Data Scientist? • Roadmap to Becoming a Data Scientist • Data Science Core Concepts (Total Life Cycle, Statistics and Probability, Machine Learning, Core Algorithms, Deep Learning) • Data Science for Non-Programmers • Bonus Sections (Creating a Data Scientist Resume, Data Science Interview Questions and Answers)