Python Course For Data Science
What will I learn?
Python ን ዳታ ሳይንስ ተምሃሩ፡ ብኡ ኣቢልኩም ድማ ክእለት Business Intelligence ብዝተኣማለአ መገዲ ክትምዕብሉ። ኣብዚ ሓጺርን ጥዑምን ኮርስ፡ መሰረታዊ ናይ ምጽራይ ዳታ ስልትታት፡ እንተላይ ተመሳሳልቲ (duplicates) ከምኡውን ካብ ልክዕ ወጻኢ ዝኾኑ (outliers) ከመይ ጌርካ ከም እትቆጻጸርዎ ትምሃሩ። ብተወሳኺ፡ ብዛዕባ ኣፈጻጽማ ሽያጥ ብምድግማዊን (regional) ብዓይነት ኣቕሑን (product category) ተንትኖ ትገብሩ። ዳታ ከመይ ጌርካ ከም እትጽዕንዎ፡ ከመይ ጌርካ ቅድመ-ተProcess ከም እትገብሩዎ፡ ከምኡውን ቁልፊ መለክዒታት (key metrics) ከመይ ጌርካ ከም እተብጽሑዎ ትመሃሩ። ብJupyter Notebook ኣቢልኩም ንዝረኸብኩምዎም ሓሳባት ብውጽኢታዊ መገዲ ከመይ ጌርኩም ከም እተመሓላልፉ ክትመሃሩ እንከለኹም፡ ንስትራተጂ ሽያጥን ኣተሓሕዛ ኣቕሑን ንምምሕያሽ ዝሕግዙ ተግባራዊ ምክርታት ክትረኽቡ ኢኹም።
Apoia's Unique Features
Develop skills
Enhance your practical skills outlined below
ምጽራይ ዳታ ምፍላጥ: ተመሳሳልቲ ኣወግዱ፡ ንቡር ግበሩ፡ ከምኡውን ካብ ልክዕ ወጻኢ ዝኾኑ ብውጽኢታዊ መገዲ ቆጻጸሩ።
ተንትኖ ሽያጥ ዳታ ምክያድ: ብምድግማዊ፡ ብዓይነት ኣቕሑን፡ ከምኡውን ተኸታታሊ ግዜ ሽያጥ ተንትኑ።
ቅድመ-ተProcess ዳታ ምግባር: ዓይነት ቀይሩ፡ ዘይተማልኡ ኣሙኡ (values) ቆጻጸሩ፡ ከምኡውን CSVs ብPandas ጽዓኑ።
ቁልፊ መለክዒታት ምሕሳብ: ጠቕላላ እቶት፡ ምድግማዊ እቶት፡ ከምኡውን ማእከላይ መጠን ዝተሸጡ ኣሃዱታት (average units sold) ቍጸሩ።
ሓሳባት ምምሕልላልፍ: ግኝትታት ኣወሃህዱን ብJupyter Notebook ተጠቒምኩም ኣቕርቡ።
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.