Skills Tools & Platforms Online Course Books Competitions

1. HOW TO BECOME A DATA SCIENTIST
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2. MOHTAT@COMP.IUST.AC.IR 2linkedin.com/in/mohamadreza-mohtat-8a3612aa

3. CONTENTS
Definition Data Science
Data Scientist Skills
Learning Data Science
How to Become a Data Scientist in Iran Market
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4. DEFINITION DATA SCIENCE
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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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6. HYPE CYCLE FOR LIFE SCIENCES-
GARTNER
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8. DATA SCIENTIST:
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9. DATA SCIENTIST SKILLS
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10. TOP DATA SCIENCE PLATFORMS
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11. PROGRAMING LANGUAGE
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12. PYTHON VS R
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13. PYTHON VS R
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14. PYTHON VS R
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15. PYTHON DATA STACK
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17. TOP TOOLS USED BY DATA
SCIENTISTS
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18. TOP ALGORITHMS & METHODS USED BY
DATA SCIENTISTS
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19. LEARNING DATA SCIENCE
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20. MASSIVE OPEN ONLINE COURSE
(MOOC)
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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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24. MACHINE LEARNING
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25. MACHINE LEARNING SYLLABUS
Introduction
Linear Regression with Multiple
Variables
Logistic Regression
Neural Networks
Support Vector Machines
Unsupervised Learning
Dimensionality Reduction
Anomaly Detection
Recommender Systems
Large Scale Machine Learning
Application Example: Photo OCR
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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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30. MAKTABKHOONEH.ORG
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31. LEARN DATA SCIENCE ONLINE
(INTERACTIVE)
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34. DATA SCIENCE COMPETITION
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36. MOHTAT@COMP.IUST.AC.IR 36

37. FANAVARD.COM
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38. DATA SCIENCE BOOKS
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41. HOW TO BECOME A DATA SCIENTIST IN IRAN
MARKETPLACE
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42. HOTTEST JOBS IN IRAN MARKETPLACE42

43. Market
Analysis
BI
Text
Mining
Big Data
Social Network
Analysis
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44. 1.MARKET ANALYSIS
1. CRM
2. Basket data analysis
3. Fraud detection
4. Trend analysis
5. Human resource management
6. Resource Planning
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45. 2.BUSINESS INTELLIGENCE
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46. DATA SCIENCE VS BUSINESS
INTELLIGENCE
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47. TOP BUSINESS INTELLIGENCE TOOLS
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48. 3.TEXT MINING
Topic Detection
Sentiment Analysis
Topic Modeling
Text Clustering
Gender Detection
Information Retrieval
Question answering
Text Summarization
Named Entity Recognition
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49. 4.BIG DATA
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50. BIG DATA PLATFORMS & TOOLS
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51. BIG DATA LEARNING PATH
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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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