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Data Science
Introduction to Data Science
Topic to be Covered:-
Data Science
Skill Requirement for Data Science
Data Scientist
Role of Data Scientist
Tools for Data Science
Application of Data Science
Data Science
• Data Science is the study of various machine learning algorithm to
find the hidden pattern in the available data.
• Data Science is the branch of Artificial Intelligence or we can say it is
the future of Artificial Intelligence.
Skill Requirement for Data Science
Technical Prerequisite:-
 Machine Learning
 Mathematical Learning
 Statistics
 Computer programming
 Database
Non-Technical Prerequisite:-
 Curiosity
 Critical Thinking
 Communication Skills
Data Scientist
Data Scientist is a person who transforms the data into meaningful
insights, from which a good decision can be taken.
Role of Data Scientist
• Data Scientist identify the questions to understand business
problem.
• Process the data and convert it into suitable format for
analysis .
• Visualizing data
Tools for Data Science
Data Analysis tools: Python, Statistics, SAS, Jupyter, Excel
Data Warehousing: ETL, SQL, Hadoop, AWS redshift
Data Visualization tools: R, Jupyter, Tableau, Congos
Machine Learning tools: Spark, Mahout, Azure Ml studio
Applications of Data Science:
Image Recognition and speech recognition
Gaming world
Internet search
Transport
Healthcare
Recommendation Systems
Risk detection
Thank you 

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Data Science2

  • 2. Topic to be Covered:- Data Science Skill Requirement for Data Science Data Scientist Role of Data Scientist Tools for Data Science Application of Data Science
  • 3. Data Science • Data Science is the study of various machine learning algorithm to find the hidden pattern in the available data. • Data Science is the branch of Artificial Intelligence or we can say it is the future of Artificial Intelligence.
  • 4. Skill Requirement for Data Science Technical Prerequisite:-  Machine Learning  Mathematical Learning  Statistics  Computer programming  Database Non-Technical Prerequisite:-  Curiosity  Critical Thinking  Communication Skills
  • 5. Data Scientist Data Scientist is a person who transforms the data into meaningful insights, from which a good decision can be taken. Role of Data Scientist • Data Scientist identify the questions to understand business problem. • Process the data and convert it into suitable format for analysis . • Visualizing data
  • 6. Tools for Data Science Data Analysis tools: Python, Statistics, SAS, Jupyter, Excel Data Warehousing: ETL, SQL, Hadoop, AWS redshift Data Visualization tools: R, Jupyter, Tableau, Congos Machine Learning tools: Spark, Mahout, Azure Ml studio
  • 7. Applications of Data Science: Image Recognition and speech recognition Gaming world Internet search Transport Healthcare Recommendation Systems Risk detection