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Create: 2023-12-24 Update: 2025-07-04 08:23:27

2. "Data Analysis" va "Big Data" sohalarini o'rganish uchun quyidagi asosiy mavzularni o'z ichiga olgan ta'lim yo'nalishlari va ko'nikmalarni o'rganish tavsiya etiladi:

Statistika va Ehtimollik Nazariyasi: Ma'lumotlar tahlilida muhim asos bo'lib, ma'lumotlarni tahlil qilish, xulosalar chiqarish va bashoratlar qilishda foydalaniladi.

Dasturlash va Ma'lumotlar Bazasi: Python yoki R kabi ma'lumotlar tahlili uchun mo'ljallangan dasturlash tillarini o'rganish. Shuningdek, SQL (Structured Query Language) kabi ma'lumotlar bazasini boshqarish tizimlarida ishlash ko'nikmalarini rivojlantirish.

Ma'lumotlar Tahlili Asoslari: Ma'lumotlarni tozalash, ishlov berish, vizualizatsiya qilish va tahlil qilish usullari.

Machine Learning va Sun'iy Intellekt: Ma'lumotlarni tahlil qilishda keng qo'llaniladigan sun'iy intellekt va mashinasozlik algoritmlarini o'rganish.

Big Data Texnologiyalari: Hadoop, Spark kabi Big Data texnologiyalarini o'rganish. Bu texnologiyalar katta hajmdagi ma'lumotlar bilan ishlashda muhim ahamiyatga ega.

Ma'lumotlar olish (Data Mining): Ma'lumotlar bazalaridan foydali ma'lumotlarni olish usullari va texnikalarini o'rganish.

Ma'lumotlarni Tahlil Qilish Dasturlari: Excel, Tableau yoki Power BI kabi ma'lumotlarni vizualizatsiya qilish va tahlil qilish dasturlaridan foydalanishni o'rganish.

Kritik Fikrlash va Tahliliy Qobiliyatlar: Ma'lumotlarni tahlil qilishda, ularni to'g'ri baholash va xulosalar chiqarishda kritik fikrlash va tahliliy qobiliyatlarni rivojlantirish.

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2. "Data Analysis" va "Big Data" sohalarini o'rganish uchun quyidagi asosiy mavzularni o'z ichiga olgan ta'lim yo'nalishlari va ko'nikmalarni o'rganish tavsiya etiladi:

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