Course detail
Python foundations for automation, problem solving, data handling and future AI or data science learning.
13th round and summer intake
Online classes are live and recorded. In-person learners can choose regular, extension or weekend attendance when available.
Write clean Python programs and reusable functions
Analyze CSV/Excel-style data with Pandas and visualizations
Build practical scripts, OOP mini-projects, database tools and AI-ready foundations
Course experience
Each monthly part should combine instructor-led lessons, resources, checklists, practice work and evaluation gates before learners move on.
Outline highlights
Career value
Python is a beginner-friendly but powerful programming language used in automation, data analysis, artificial intelligence, web development, scripting and scientific computing.
This course helps learners move from programming basics to useful scripts and small applications. It builds the confidence needed before advanced Python, data science, machine learning or AI tracks.
Students practice variables, control flow, functions, modules, files, errors, packages and real mini-projects rather than only reading theory.
Simple syntax that helps beginners focus on problem solving instead of complicated language rules.
A large ecosystem for data, AI, automation, web development, scripting and education.
Excellent preparation for data science, machine learning, backend automation and AI tools.
Useful even for non-developers who want to automate reports, files, spreadsheets and repetitive office tasks.
ፓይተን ለጀማሪ ቀላል፣ ለባለሙያ ግን እጅግ ኃይለኛ የፕሮግራሚንግ ቋንቋ ነው። በautomation፣ data science፣ AI፣ web development እና scripting በስፋት ይጠቀማል።
በዚህ ኮርስ ተማሪዎች variables, data types, conditions, loops, functions, modules, files, errors እና packages በተግባር ይማራሉ።
ፓይተን ከዳታ ሳይንስ፣ ማሽን ለርኒንግ እና AI ለመግባት በጣም ጠንካራ መነሻ ነው።
ቀላል አጻጻፍ ስላለው ጀማሪዎች በፍጥነት ይገባቸዋል።
ተደጋጋሚ ስራዎችን በራስ-ሰር ለመስራት ያግዛል።
ለዳታ፣ AI፣ web backend እና automation መሰረት ይሆናል።
ፕሮግራሚንግ ማለት ኮምፒውተር ምን እንዲሰራ፣ እንዴት እንዲሰራ እና መቼ እንዲሰራ በትዕዛዝ መንገድ መናገር ነው። ልክ የምግብ አዘገጃጀት መመሪያ ደረጃ በደረጃ እንደሚነግረን ሁሉ፣ ፕሮግራምም ኮምፒውተሩን ደረጃ በደረጃ ያመራዋል።
ፓይተን ይህን ዓለም ለመጀመር በጣም ጥሩ ቋንቋ ነው። ኮዱ ቀላል ይነበባል፣ ብዙ ቴክኖሎጂ መስኮች ይጠቀሙበታል፣ እና በትንሽ ጊዜ ተግባራዊ ውጤት ማየት ይቻላል።
ፓይተን ቀላል አጻጻፍ፣ ትልቅ community፣ ብዙ libraries እና ሁለገብ አጠቃቀም ስላለው በዓለም ላይ ካሉ በጣም ተፈላጊ ቋንቋዎች አንዱ ሆኗል።
Django/Flask ለweb development፣ Pandas/NumPy/Matplotlib ለdata science፣ Scikit-learn/TensorFlow/PyTorch ለmachine learning እና AI፣ እንዲሁም scripts ለautomation በቀላሉ ይጠቀማሉ።
ተማሪዎች ፋይሎችን ማደራጀት፣ Excel/CSV ዳታ መተንተን፣ web scraping ማድረግ፣ simple dashboard መፍጠር፣ Telegram bot መገንባት እና ቀላል AI/data project ማስጀመር ይችላሉ።
በMiT ትምህርቱ ቲዎሪ ብቻ አይደለም፤ ተማሪዎች functions, files, OOP, modules, packages, exceptions, regular expressions እና practical mini-projects በራሳቸው እጅ ይሰራሉ።
ፓይተን በዳታ፣ AI፣ automation፣ backend እና QA automation ውስጥ ጠንካራ መጀመሪያ ነው። ኮርሱን በጥራት የጨረሰ ተማሪ ወደ advanced Python, data science, machine learning ወይም AI በቀላሉ መግባት ይችላል።
በአገር ውስጥ junior Python developer, data assistant, automation assistant እና reporting assistant የሚሉ እድሎች አሉ፤ በውጭ ደግሞ remote scripting, data cleaning, automation እና backend support ስራዎች በፖርትፎሊዮ ሊገኙ ይችላሉ።
Learn from practitioners who ship production software, campaigns and creative work — then guide your evaluations in the LMS.
Python & Data Science
Python & Data Science Instructor
Teaches Python foundations through data analysis, visualization and practical scripts.
Python & Data Science
Python & Data Science Instructor
Supports learners in Pandas, statistics and decision-ready data projects.
Resources are organized by term, monthly part, week and lesson. Full Stack access opens one part at a time after payment and instructor evaluation.
Unlock after payment or instructor evaluation.
Unlock after payment or instructor evaluation.
Best for students who want structured lab access, instructor support and consistent weekday practice.
Designed for learners who need evening sessions three days per week after work or daytime study.
A practical option for working learners and university students who need weekend attendance.
Live virtual classes are recorded so students can review lessons, recap missed points and continue studying after class.
Available for courses longer than three months when tuition is paid in full.
Available when one student registers for two or three courses.
Special support for students who did not pass university entrance and are not eligible for remedial placement.
For online Full Stack enrollment, one eligible family member can receive tuition waived under the family offer.
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