The document provides an overview of data science, describing it as the process of transforming raw data into valuable insights through statistics, coding, and machine learning. It emphasizes the importance of data scientists in uncovering trends and patterns within big data to drive decision-making across various industries. Additionally, the document outlines the necessary skills and courses for pursuing a concentration in data science.

1. INTRODUCTION
Data science is the process of transforming
raw data into valuable insights using
statistics, coding, and machine learning. It
helps uncover trends, patterns, and
predictions that drive smarter decisions in
every industry.
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2. Outline
• Data, Big Data and Challenges
• Data Science
• Data Scientists
• Major/Concentration in Data
Science
What do they do?
What courses to take.
Introduction
Why Data Science

3. Data All Around
Lots of data is being collected
and warehoused
Web data, e-commerce
Financial transactions, bank/credit
transactions
Online trading and purchasing Social
Network

4. Big Data
Big Data is any data that is expensive to
manage and hard to extract value from
The size of the data
The latency of data processing relative to the
growing demand for interactivity
the diversity of sources, formats, quality,
structures.
Volume
Velocity
Variety and Complexity

5. BIG DATA

6. Types of Data
• Relational Data (Tables/Transaction/
Legacy Data)
• Text Data (Web)
• Semi-structured Data (XML)
• Graph Data
• Social Network, Semantic Web (RDF),
• Streaming Data
• You can afford to scan the data once

7. What To Do With
These Data?
• Indexing, Searching, and Querying
• Knowledge discovery
Data warehousing and OLAP
• Aggregation and Statistics
Keyword based search
Pattern matching (XML/RDF)
Data Mining
Statistical Modeling

8. What is Data
Science?
• Theories and techniques from many fields and disciplines are
used to investigate and analyze a large amount of data to help
decision makers in many industries such as science,
engineering, economics, politics, finance, and education
• Pattern recognition, visualization, data warehousing, High
performance computing, Databases, Al
• Mathematical Modeling
• Statistical and Stochastic modeling, Probability.
Computer Science
Mathematics.
Statistics

9. Data Science

10. Data Science

11. Data Scientists
The Sexiest Job of the 21st Century
Data Scientist
They find stories, extract knowledge.
They are not reporters

12. Data Scientists
• Data scientists are the key to
realizing the opportunities
presented by big data. They bring
structure to it, find compelling
patterns in it, and advise executives
on the implications for products,
processes, and decisions

13. What do Data Scientists do?
• National Security
• Cyber Security
• Business Analytics
• Engineering
• Healthcare
• And more.......

14. Concentration in
Data Science
• Mathematics and Applied
Mathematics
• Applied Statistics/Data Analysis
• Solid Programming Skills (R, Python,
Julia, SQL)
• Data Mining
• Data Base Storage and
Management
• Machine Learning and discovery

15. THANK YOU
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