What it Needs to be a Data Scientist – Roadmap Explained? Tarun Sukhani NetCom Learning
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AGENDA Introduction to Data Science Importance of Data Science in the success of organizations How to train your workforce to become data scientists?
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INTRODUCTION TO DATA SCIENCE
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WHAT IS DATA SCIENCE?
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WHAT IS DATA SCIENCE?
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WHAT IS A DATA SCIENTIST?
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DATA SCIENCE CORE COMPONENTS
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DATA ARCHITECTURE
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DATA SCIENCE TOOLS
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DATA SCIENCE HISTORY
John Tukey
1935
1939
1989
1996
2009
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1958
1977
1997
2007
2010
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DATA SCIENCE IS NOT DATABASES Data Science is concerned with finding patterns in large amounts of data, whereas Databases are concerned with querying large amounts of data.
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DATA SCIENCE IS NOT BUSINESS INTELLIGENCE
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WHAT IS HARD ABOUT DATA SCIENCE?
}
Cognitive Biases
} }
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Methodology
IT
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DATA SCIENCE WORKFLOW DIAGRAM
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DATA SCIENCE FOR SUCCESS
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APPLICATIONS OF DATA SCIENCE
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APPLICATIONS OF DATA SCIENCE - MEDIA INDUSTRY Domain of the Dataset: Communications and Media. However the application of the algorithm is not limited to only Communications and Media. The technique is useful for any domain which requires organizing documents to improve retrieval and support browsing.
Problem Statement: A top media company wants to browse through the popular news from a collection that appeared on the Reuters newswire in 1987. Clustering/Grouping documents based on their contents will make the analysis easier.
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APPLICATIONS OF DATA SCIENCE - MEDIA INDUSTRY
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APPLICATIONS OF DATA SCIENCE - MEDIA INDUSTRY
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APPLICATIONS OF DATA SCIENCE - MEDIA INDUSTRY
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APPLICATIONS OF DATA SCIENCE - RETAIL INDUSTRY
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APPLICATIONS OF DATA SCIENCE - RETAIL INDUSTRY
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APPLICATIONS OF DATA SCIENCE - MEDICAL INDUSTRY
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APPLICATIONS OF DATA SCIENCE - MEDICAL INDUSTRY
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APPLICATIONS OF DATA SCIENCE - BANKING INDUSTRY
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HOW TO TRAIN DATA SCIENTISTS
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DATA SCIENTIST ROLES
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DATA SCIENTIST ROLES
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WHAT DOES A GOOD DATA SCIENTIST LOOK LIKE?
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T-SHAPED SKILLSET
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DATA SCIENTIST ROADMAP
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1.
Fundamentals
2.
Math & Statistics
3.
Programming
4.
Machine Learning
5.
Text Mining/NLP
6.
Visualization
7.
Big Data
8.
Data Ingestion
9.
Data Munging/Wrangling
10.
Toolbox
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DATA SCIENTIST EDUCATION FRAMEWORK
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DATA SCIENTIST EDUCATION FRAMEWORK
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DATA SCIENTIST EDUCATION FRAMEWORK
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LABOR MARKET
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HOW A DATA SCIENTIST THINKS
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WHAT DOES A DATA SCIENTIST DO? Most data scientists in the industry have advanced training in statistics, math, and computer science. Their experience is a vast horizon that also extends to data visualization, data mining, and information management. It is fairly common for them to have previous experience in infrastructure design, cloud computing, and data warehousing.
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PREDICT THE FUTURE WITH DATA SCIENCE
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8 WAYS A DATA SCIENTIST CAN ADD VALUE TO BUSINESS
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RECORDED WEBINAR VIDEO To watch the recorded webinar video for live demos, please access the link: http://tiny.cc/dnomgz
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