Data Analytics overview,kDD process,mining Techniques.pptx

data analytics

1. Sri Ramakrishna College of Arts & Science,Coimbatore-641 006 Department of Computer Technology DATA ANALYTICS Hannah Roseline R ASSISTANT PROFESSOR SRI RAMAKRISHNA COLLEGE OF ARTS & SCIENCE

2. AGENDA WHY  AND WHO CHOOSES DATA ANALYTICS OR DATA SCIENCE AS A CARRIER ROLES AND RESPONSIBILITES TECHNICAL STACKS  INTERVIEW VIEW APPROACH WHERE WE USE MACHINE LEARNING ROAD MAP 2

3. WHY …..? 3

4. Objective of a course 4

5. WHO CHOOSES DA/DS AS A CARRIER Curious to solve a business problems  Good story telling ability and insight gathering Good domain knowledge Tools and Programming knowledge – Excel, Python, Tableau Statistical and Mathematical knowledge. 5

6. WHAT....? 6

7. EXAMPLE.. 7

8. WHAT... 8

9. TECHNICAL REQ.... 9

10. TECHNICAL STACKS AND USES.. EXCEL -  Excel is a powerful tool for data analysis that enables users to manipulate, analyze, and visualize large amounts of data quickly and easily. PYTHON OR R – vast community and packages, Python is a general-purpose programming language, while R is a statistical programming language. This means that Python is more versatile and can be used for a wider range of tasks, such as web development, data manipulation, and machine learning . R, on the other hand, is primarily used for statistical analysis and data visualization . Tableau / PowerBI – Visualization and business Intelligence tools . Database – SQL & NOSQL 10

11.    Bigdata tools – Apache hadoop , cassandra ,  spark etc.. Statistics -  Statistics provides users with a means for collecting, reviewing, and analyzing data, as well as a way to draw conclusions from this data and ultimately make better business decisions. ML - Algorithms with understandings        11

12. What is ML and Where  do we Apply ? 12

13. Types of MNC or Companies... Product based  Service based AFTER CLOUD TECHNOLOGY Paas – Platform as a service Saas – Software as  a service Iaas – infrastructure as a service 13

14. HOW TO APPROACH A COMPANY... Select  a ROLE – Requirements     Eg : LinkedIn Descriptions for the particular role 14

15. Skillset 15

16. Business Intelligence: Business intelligence is a broad term that encompasses data mining, process analysis, performance benchmarking, and descriptive analytics. BI parses all the data generated by a business and presents easy-to-digest reports, performance measures, and trends that inform management decisions. 16

17. WHEN you start to learn …...? 17

18. ANY QUESTIONS ...? 18

19. THANK YOU 19