GIS Training Club

DATA STORYTELLING

𝐃𝐚𝐭𝐚 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 𝐏𝐢𝐩𝐞𝐥𝐢𝐧𝐞:

- 𝘿𝙖𝙩𝙖 𝙄𝙣𝙜𝙚𝙨𝙩𝙞𝙤𝙣: Collection of data from different sources
- 𝙀𝙭𝙥𝙡𝙤𝙧𝙖𝙩𝙞𝙤𝙣 𝙖𝙣𝙙 𝙑𝙖𝙡𝙞𝙙𝙖𝙩𝙞𝙤𝙣: Understanding data content and structure
- 𝘿𝙖𝙩𝙖 𝙒𝙧𝙖𝙣𝙜𝙡𝙞𝙣𝙜: Formatting and cleaning the data
- 𝘿𝙖𝙩𝙖 𝙇𝙖𝙗𝙚𝙡𝙞𝙣𝙜: Assigning categories to data point
- 𝘿𝙖𝙩𝙖 𝙎𝙥𝙡𝙞𝙩𝙞𝙣𝙜: Division of data into training, validation, and test dataset

𝐖𝐡𝐚𝐭 𝐢𝐬 𝐁𝐮𝐬𝐢𝐧𝐞𝐬𝐬 𝐈𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐜𝐞?
𝘽𝙪𝙨𝙞𝙣𝙚𝙨𝙨 𝙄𝙣𝙩𝙚𝙡𝙡𝙞𝙜𝙚𝙣𝙘𝙚 (𝘽𝙄) is a set of processes, architecture, and technologies that help in the collection, integration, analysis, and presentation of business information. 𝐓𝐡𝐞 𝐩𝐮𝐫𝐩𝐨𝐬𝐞 of Business Intelligence is to enable stakeholders to make better business decisions

Business Intelligence is generally divided into four stages:

𝟜 𝕋𝕪𝕡𝕖𝕤 𝕠𝕗 𝔻𝕒𝕥𝕒 𝔸𝕟𝕒𝕝𝕪𝕥𝕚𝕔𝕤 𝕥𝕠 𝕀𝕞𝕡𝕣𝕠𝕧𝕖 𝔻𝕖𝕔𝕚𝕤𝕚𝕠𝕟-𝕄𝕒𝕜𝕚𝕟𝕘

𝟏. 𝐃𝐞𝐬𝐜𝐫𝐢𝐩𝐭𝐢𝐯𝐞 𝐀𝐧𝐚𝐥𝐲𝐬𝐢𝐬: Shows what’s going on in this business

𝟐. 𝐃𝐢𝐚𝐠𝐧𝐨𝐬𝐭𝐢𝐜 𝐀𝐧𝐚𝐥𝐲𝐬𝐢𝐬: Investigated why part of the problem. For example: why there is a sudden dip in sales OR why our profit is going down?

𝟑. 𝐏𝐫𝐞𝐝𝐢𝐜𝐭𝐢𝐯𝐞 𝐀𝐧𝐚𝐥𝐲𝐬𝐢𝐬: Show’ what will happen in the future based on past Trends. For example: What will be the Sale in next quarter OR Whether Customer will default or not.

𝟒. 𝐏𝐫𝐞𝐬𝐜𝐫𝐢𝐩𝐭𝐢𝐯𝐞 𝐀𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬: Prescriptive Analytics: Make conclusions based on all the previous analysis and advise what to do next. For example, Whether a new product should be launched? OR whether I should become a data analyst or not?

Descriptive Vs Inferential Statistics

គ្មានចំណេះដឹងណា បានមកដោយមិនរៀន ដោយមិនស្តាប់ និងមិនអនុវត្តនោះទេ!

សៀវភៅនេះ ល្អសំរាប់អ្នកចង់រៀនពី AI បងប្អូនអាចរកជាវបានតាម Link ខាងក្រោមនេះ​ by Aurélien Géron (Author)

https://www.amazon.com/Hands-Machine-Learning-Scikit-Learn-TensorFlow/dp/1492032646