Data Science in Finance Course
What will I learn?
ብዛዕባ ዳታ ሳይንስ ኣብ ፋይናንስ ዘሎ ሓይሊ ብምሉኡ ንኽትፈልጥ ዝሕግዝ ፍጹም ዝኾነ ኮርስ ንቴክኖሎጂ ሰራሕተኛታት ተዳልዩ ኣሎ። ኣብ ከም ዳታ ምእካብ፡ ምጽራይ፡ ከምኡውን ፍሉይ መለለዪ ንጊዜ ሰሪዝ ምፍጣር ዝኣመሰሉ ኣገደስቲ ርእሰ-ጉዳያት ብዓሚቘ ተመሃር። ከም LSTMን ARIMAን ዝኣመሰሉ ናይ ማሽን መማሃሪ ሞዴላት ብምጥቃም ትንበያኻ ኣመሓይሽ። ብዝያዳ ዳታ ብምስሊ ምግላጽ፡ ኣርኣያታት ምፍላጥ፡ ከምኡውን ሞዴል ብዝግባእ ተረዲእካ ውሳኔታትካ ኣመሓይሽ። ንፋይናንስ ዳታ ናብ ተግባራዊ ሓበሬታ ብምቕያር ግቡእ ክእለታት ክትረክብ ኢኻ፡ እዚ ኹሉ ዉሱን ዝኾነን ጥራቱ ዝለዓለን ትምህርቲ ብምውሳድ።
Apoia's Unique Features
Develop skills
Enhance your practical skills outlined below
ንትክክለኛ ፋይናንሳዊ ምርዳእ ዳታ ምእካብን ምጽራይን ብዝግባእ ተማር።
ንፋይናንስ ዝጠቅሙ ናይ ማሽን መማሃሪ ሞዴላት ኣሰልጥንን ገምግም።
ኣብ ፋይናንሳዊ ዳታስብስብ ዘለዉ ኣዝማሚያታትን ኣርኣያታትን ንምርካብ ዳታ ብምስሊ ግለጽ።
ኣብ ፋይናንሳዊ ኵነታት ንዘሎ ግዜ ሰሪዝ መርምር።
ፋይናንሳዊ ውሳኔታት ንምምሕያሽ ትንበያታት ሞዴል ተርጉም።
Suggested summary
Workload: between 4 and 360 hours
Before starting, you can change chapters and workload.
- Choose which chapter to start with
- Add or remove chapters
- Increase or decrease the course workload
Examples of chapters you can add
You will be able to generate more chapters like the examples below
This is a free course, focused on personal and professional development. It is not equivalent to a technical, undergraduate, or postgraduate course, but offers practical and relevant knowledge for your professional journey.