5. Data Science is an
interdisciplinary field about
processes and systems to
extract knowledge or insights
from data in various forms, either
structured or unstructured, which
is a continuation of some of the
data analysis fields such as
statistics, data mining,
and predictive analytics, similar
to Knowledge Discovery in
Databases (KDD).
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23. DATA SCIENCE SPECIALIZATION
COURSES
•The Data Scientist’s Toolbox
•R Programming
•Getting and Cleaning Data
•Exploratory Data Analysis
•Reproducible Research
•Statistical Inference
•Regression Models
•Practical Machine Learning
•Developing Data Products
•Data Science Capstone
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27. PYTHON FOR EVERYBODY
SPECIALIZATION COURSES
1. Programming for Everybody
2. Python Data Structures
3. Using Python to Access Web Data
4. Using Databases with Python
5. Capstone: Retrieving, Processing,
and Visualizing Data with Python
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29. LEARNING PATHS IN BIGDATA
UNIVERSITY
1. Deep Learning
2. Data Science Fundamentals
3. Big Data Fundamentals
4. Scala Programming for Data
Science
5. Hadoop Fundamentals
6. Spark Fundamentals
7. Data Science for Business
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52. 5.SOCIAL NETWORK ANALYSIS
Social network analysis is the
mapping and measuring of
relationships and flows between
people, groups, organizations,
computer or other information
processing entities.
The nodes in the network are the
people and groups while the links
show relationships or flows
between the nodes
SNA provides both a visual and a
mathematical analysis of complex
human system
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53. TOP SOCIAL NETWORK ANALYSIS
TOOLS
Gephi
Graphviz
NodeXL
NetworkX
R
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