Data Science, Big Data, Data Analytics
Download as PPTX, PDF0 likes206 views
The document introduces data science as an interdisciplinary field focused on extracting knowledge from data, highlighting its application across various sectors. It discusses big data's challenges and introduces data analytics as a method to analyze raw data for insights. Key roles in this field include data scientists, data analysts, and big data specialists.
1 of 14
Download to read offline
More Related Content
What's hot (20)
PPTX
State Pattern: Introduction & Implementation International Institute of Information Technology (I²IT)PPTX
Introduction to Wireless Sensor Networks (WSN)International Institute of Information Technology (I²IT)PPTX
Computer Network Technology | Dynamic Host Configuration ProtocolInternational Institute of Information Technology (I²IT)PPTX
Engineering Mathematics with Examples and ApplicationsInternational Institute of Information Technology (I²IT)State Pattern: Introduction & Implementation International Institute of Information Technology (I²IT)
Introduction to Wireless Sensor Networks (WSN)International Institute of Information Technology (I²IT)
Computer Network Technology | Dynamic Host Configuration ProtocolInternational Institute of Information Technology (I²IT)
Engineering Mathematics with Examples and ApplicationsInternational Institute of Information Technology (I²IT)
Similar to Data Science, Big Data, Data Analytics (20)
Ad
More from International Institute of Information Technology (I²IT) (20)
PPTX
Understanding Natural Language ProcessingInternational Institute of Information Technology (I²IT)PPTX
Professional Ethics & Etiquette: What Are They & How Do I Get Them?International Institute of Information Technology (I²IT)PPTX
Writing Skills: Importance of Writing SkillsInternational Institute of Information Technology (I²IT)PPTX
Professional Communication | Introducing Oneself International Institute of Information Technology (I²IT)PPTX
What Is Jenkins? Features and How It WorksInternational Institute of Information Technology (I²IT)PPT
Java as Object Oriented Programming LanguageInternational Institute of Information Technology (I²IT)PPTX
Data Visualization - How to connect Microsoft Forms to Power BIInternational Institute of Information Technology (I²IT)PPTX
Land Pollution - Causes, Effects & SolutionInternational Institute of Information Technology (I²IT)Professional Ethics & Etiquette: What Are They & How Do I Get Them?International Institute of Information Technology (I²IT)
Writing Skills: Importance of Writing SkillsInternational Institute of Information Technology (I²IT)
Professional Communication | Introducing Oneself International Institute of Information Technology (I²IT)
Java as Object Oriented Programming LanguageInternational Institute of Information Technology (I²IT)
Data Visualization - How to connect Microsoft Forms to Power BIInternational Institute of Information Technology (I²IT)
Ad
Recently uploaded (20)
Data Science, Big Data, Data Analytics
- 1. INTRODUCTION TO DATA SCIENCE , BIG DATA, DATA ANALYTICS Prof Ekta M. Choudhari Department of Information Technology International Institute of Information Technology, I²IT
- 3. “Data science, Know as data-driven science, is also an interdisciplinary field of scientific methods, processes, algorithms, and systems to extract knowledge or insights from data in various forms, either structured or unstructured, similar to data mining. ” Introduction to Data science
- 4. • Various sectors use Data Science to extract the information they need to create different services and products.
- 6. Big Data at a Glance
- 7. Different Types of Data
- 8. 5 V’s of Big Data
- 9. Challenges of Traditional Systems (RDBMS &DWH)
- 11. Data analytics is the science of analyzing raw data in order to make conclusions about that information. Many of the techniques and processes of data analytics have been automated into mechanical processes and algorithms that work over raw data for human consumption. What Is Data Analytics?
- 12. Some of the Companies using Big Data
- 13. Common Job Titles The most common careers in data science and big data field include the following roles. ● Data scientists ● Data analysts ● Big Data Specialists