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🔥 5 تفاوت اصلی بین Data Analyst و Data Scientist که باید بدونی:

1️⃣ آنالیزر بیشتر روی توصیف و درک داده‌های فعلی تمرکز داره
2️⃣ ساینتیست معمولاً مدل‌های پیش‌بینی و ML توسعه می‌ده
3️⃣ آنالیزر ابزارهایی مثل Excel، SQL و Power BI استفاده می‌کنه
4️⃣ ساینتیست با Python، R و الگوریتم‌های پیچیده‌تر کار می‌کنه
5️⃣ تصمیم‌سازی در لحظه بیشتر با آنالیزره، ساینتیست بیشتر تحقیقاتی فکر می‌کنه

🔔 دانشمند داده باید تحلیل‌گر قوی‌ای هم باشه. ولی هر آنالیزر الزماً ساینتیست نیست!


🔵 @DataScience_Function

کالج علم داده | Data College
🔥 5 تفاوت اصلی بین Data Analyst و Data Scientist که باید بدونی:

1️⃣ آنالیزر بیشتر روی توصیف و درک داده‌های فعلی تمرکز داره
2️⃣ ساینتیست معمولاً مدل‌های پیش‌بینی و ML توسعه می‌ده
3️⃣ آنالیزر ابزارهایی مثل Excel، SQL و Power BI استفاده می‌کنه
4️⃣ ساینتیست با Python، R و الگوریتم‌های پیچیده‌تر کار می‌کنه
5️⃣ تصمیم‌سازی در لحظه بیشتر با آنالیزره، ساینتیست بیشتر تحقیقاتی فکر می‌کنه

🔔 دانشمند داده باید تحلیل‌گر قوی‌ای هم باشه. ولی هر آنالیزر الزماً ساینتیست نیست!


🔵 @DataScience_Function
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کالج علم داده | Data College



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Bitcoin mining is the process of adding new transactions to the Bitcoin blockchain. It’s a tough job. People who choose to mine Bitcoin use a process called proof of work, deploying computers in a race to solve mathematical puzzles that verify transactions.To entice miners to keep racing to solve the puzzles and support the overall system, the Bitcoin code rewards miners with new Bitcoins. “This is how new coins are created” and new transactions are added to the blockchain, says Okoro.

🔥 5 تفاوت اصلی بین Data Analyst و Data Scientist که باید بدونی:

کالج علم داده | Data College TG
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