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SQL Course For Data Analyst

What will I learn?

ነቶም መተንተንቲ ዳታ ዝኾኑ ብፍላይ ዝተዳለወ ኩርስና ተጠቒምኩም SQL ን ንግዲ ኢንተለጀንስ ብሙልኡ ክትፈልጡ ትኽእሉ። ከም ትንተና ግዜያዊ ተኸታታሊት (time series analysis)፡ መንነት ኣርኣያታት (pattern identification)፡ ከምኡ’ውን ትንተና ኣንፈታት (trend analysis) ዝኣመሰሉ ኣገደስቲ ስልትታት ተስተምህሩ። መስኮታዊ ተግባራት (window functions)፡ ምጽንባራት (joins)፡ ከምኡ’ውን ትሕተ ሕቶታት (subqueries) ሓዊሱ ኣብ ዝተሓላለኸ ሕቶታት SQL ክእለት ትረኽቡ። ዳታ ምጽራይን ምምሕዳርን፡ ናይ CSV ፋይላት ምእታውን፡ ከም MySQLን PostgreSQLን ዝኣመሰሉ መሳርሒታት SQL ምጥቃምን ትመሃሩ። ዳታ ናብ ተግባራዊ ኣስተውዓልታ ቀይርኩም ንምኽርታት ብውጽኢታዊ መንገዲ ከመይ ጌርኩም ከም እትገልጽዎ ትምሃሩ። ሎሚ ዓቕሚ ትንተና ዳትኩም ኣዕብዩ!

Apoia's Unique Features

Unlimited access to courses for life
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Printable PDF summaries
Always-available online support
Select and arrange the chapters you want to study
Customize your course workload
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Study at your convenience, no internet required

Develop skills

Enhance your practical skills outlined below

ሰዋስው SQL ምልላይ: ውጽኢታዊ ሕቶታት ብትኽክለኛነትን ብንጽጽርን ምጽሓፍ።

ግዜያዊ ተኸታታሊት ምትንታን: ኣብ ዝተሓላለኹ ስብስብታት ዳታ ኣንፈታትን ጉድለታትን ምልላይ።

ኣስተውዓልታ ምፍጣር: ዳታ ናብ ተግባራዊ ንግዲ ዝምልከት ምኽርታት ምቕያር።

ዝተ advanced ሕቶታት ምትግባር: ምጽንባራት (joins)፡ ትሕተ ሕቶታት (subqueries)፡ ከምኡ’ውን መስኮታዊ ተግባራት (window functions) ምጥቃም።

ዳታ ምምሕዳር: ንዝተሳለጠ ትንተና ዳታ ምጽራይ፡ ምዳሎ፡ ከምኡ’ውን ምእታው።

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.