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نام محصول به انگلیسی Udemy - Python and Tableau: The Complete Data Analytics Bootcamp! 2022-3 -
نام محصول به فارسی دوره جامع تحلیل داده با پایتون و تبلو بر روی فلش 32GB
زبان انگلیسی با زیرنویس فارسی
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دوره جامع تحلیل داده با پایتون و تبلو بر روی فلش 32GB

در دنیای امروز، داده‌ها قلب تپنده هر سازمان و کسب‌وکاری هستند. توانایی استخراج بینش‌های ارزشمند از این حجم عظیم اطلاعات، کلید موفقیت و پیشرفت است. دوره جامع تحلیل داده با پایتون و تبلو، سفری جامع به دنیای شگفت‌انگیز علم داده، با تمرکز بر دو ابزار قدرتمند و پرکاربرد: پایتون و تبلو. این دوره که بر روی یک فلش مموری 32 گیگابایتی در دسترس شما قرار می‌گیرد، شما را از صفر تا صد تحلیل داده، مصورسازی و ارائه یافته‌ها همراهی می‌کند.

اگر به دنبال ارتقاء مهارت‌های شغلی خود، ورود به حوزه پرطرفدار علم داده، یا بهبود تصمیم‌گیری‌های کسب‌وکار خود هستید، این دوره برای شما طراحی شده است. با استفاده از پایتون، زبان برنامه‌نویسی انعطاف‌پذیر و قدرتمند، قادر خواهید بود داده‌ها را پاکسازی، پردازش و تحلیل کنید. سپس با استفاده از تبلو، ابزار بصری‌سازی برجسته، یافته‌های خود را به صورت نمودارها و داشبوردهای تعاملی و قابل فهم ارائه دهید.

چرا این دوره؟

ترکیب پایتون و تبلو، یک استراتژی بسیار مؤثر برای تحلیل داده است. پایتون برای کارهای پیچیده پردازش و تحلیل داده، مانند یادگیری ماشین و آمارهای پیشرفته، ابزاری بی‌نظیر است. از سوی دیگر، تبلو با رابط کاربری بصری و قابلیت‌های کشیدن و رها کردن، امکان ساخت سریع و آسان داشبوردهای حرفه‌ای را فراهم می‌آورد. این دوره به شما می‌آموزد چگونه از قدرت هر دو ابزار به طور همزمان بهره ببرید و چالش‌های واقعی تحلیل داده را حل کنید.

ویژگی‌های کلیدی دوره:

  • محتوای جامع و کاربردی: پوشش کامل مفاهیم از مبانی تا مباحث پیشرفته.
  • پروژه‌محور: یادگیری از طریق اجرای پروژه‌های عملی و واقعی.
  • دسترسی آسان: تمام محتوای آموزشی بر روی فلش مموری 32 گیگابایتی، بدون نیاز به دانلود.
  • ابزارهای قدرتمند: تسلط بر پایتون (با کتابخانه‌های کلیدی مانند Pandas, NumPy, Matplotlib, Seaborn) و تبلو.
  • آموزش مداوم: به‌روزرسانی محتوا مطابق با آخرین تغییرات در حوزه علم داده.

آنچه خواهید آموخت:

این دوره جامع، شما را با تمامی مراحل یک پروژه تحلیل داده آشنا می‌کند:

بخش اول: مقدمه‌ای بر علم داده و پایتون

  • آشنایی با مفاهیم کلیدی علم داده، هوش تجاری و تحلیل داده.
  • مبانی برنامه‌نویسی پایتون برای تحلیل داده، شامل انواع داده، ساختارهای کنترلی و توابع.
  • نصب و راه‌اندازی محیط‌های برنامه‌نویسی پایتون (مانند Anaconda, Jupyter Notebook).

بخش دوم: کار با داده‌ها با پایتون

  • کتابخانه Pandas: یادگیری عمیق کار با ساختارهای داده‌ای DataFrames و Series.
  • پاکسازی داده‌ها: شناسایی و رفع مقادیر گمشده، داده‌های پرت و ناهنجاری‌ها.
  • تبدیل و ادغام داده‌ها: ترکیب چندین مجموعه داده، تغییر فرمت داده‌ها.
  • عملیات استخراج و فیلتر کردن داده‌ها بر اساس معیارهای مختلف.
  • مثال کاربردی: پاکسازی و آماده‌سازی یک مجموعه داده فروش برای تحلیل.

بخش سوم: تحلیل داده‌های اکتشافی (EDA) با پایتون

  • کتابخانه‌های NumPy, Matplotlib, Seaborn: ایجاد نمودارهای آماری و بصری‌سازی داده‌ها.
  • محاسبه آمارهای توصیفی: میانگین، میانه، انحراف معیار و ...
  • شناسایی الگوها، روندها و روابط بین متغیرها از طریق بصری‌سازی.
  • مثال کاربردی: تحلیل اکتشافی مجموعه داده مشتریان یک شرکت، برای درک رفتار خرید آن‌ها.

بخش چهارم: مقدمه‌ای بر تبلو و مصورسازی داده‌ها

  • آشنایی با محیط تبلو و قابلیت‌های اصلی آن.
  • اتصال به منابع داده مختلف (CSV, Excel, پایگاه داده).
  • ساخت انواع نمودارهای پایه: میله‌ای، خطی، دایره‌ای، پراکندگی.
  • اصول طراحی بصری برای ساخت داشبوردهای مؤثر و قابل فهم.

بخش پنجم: تحلیل پیشرفته و ساخت داشبورد با تبلو

  • ایجاد محاسبات سفارشی (Calculated Fields) و پارامترها.
  • استفاده از فیلترها، هایلایت‌ها و اکشن‌ها برای ایجاد تعامل در داشبورد.
  • ساخت داشبوردهای مدیریتی پیچیده با قابلیت Drill-down.
  • مثال کاربردی: ساخت یک داشبورد فروش تعاملی که امکان بررسی عملکرد بر اساس منطقه، محصول و زمان را فراهم کند.

بخش ششم: ادغام پایتون و تبلو

  • استفاده از خروجی تحلیل‌های پایتون (مانند فایل‌های CSV پاکسازی شده) در تبلو.
  • مطالعه موردی: تحلیل سری زمانی فروش با پایتون و نمایش پیش‌بینی‌ها در تبلو.
  • نکات و ترفندهایی برای بهینه‌سازی فرآیند تحلیل داده با این دو ابزار.

پیش‌نیازها:

برای بهره‌مندی کامل از این دوره، دانش اولیه در زمینه کامپیوتر و آشنایی با مفاهیم پایه ریاضیات مفید خواهد بود. نیازی به دانش قبلی در زمینه برنامه‌نویسی پایتون یا کار با ابزارهای تحلیل داده نیست، زیرا دوره از مبانی شروع می‌شود.

  • کامپیوتر شخصی با سیستم عامل ویندوز، مک یا لینوکس.
  • اتصال به اینترنت (برای نصب نرم‌افزارها در صورت نیاز).
  • کنجکاوی و علاقه به کشف داستان‌های پنهان در داده‌ها!

کاربردهای عملی و فرصت‌های شغلی:

مهارت‌های کسب شده در این دوره، شما را برای نقش‌های شغلی مختلفی آماده می‌سازد:

  • تحلیلگر داده (Data Analyst)
  • کارشناس هوش تجاری (Business Intelligence Specialist)
  • کارشناس بازاریابی دیجیتال (Digital Marketing Specialist)
  • مدیر محصول (Product Manager)
  • و هر نقش دیگری که نیاز به تصمیم‌گیری مبتنی بر داده دارد.

این دوره به شما کمک می‌کند تا با اعتماد به نفس بیشتری در مصاحبه‌های شغلی شرکت کنید و به یک دارایی ارزشمند برای هر تیمی تبدیل شوید.

چرا فلش مموری 32GB؟

ارائه دوره بر روی فلش مموری 32 گیگابایتی، مزایای قابل توجهی دارد:

  • دسترسی آفلاین: بدون نیاز به اینترنت پرسرعت، محتوای آموزشی را در هر زمان و مکانی مشاهده کنید.
  • سرعت و پایداری: برخلاف دانلودهای حجیم و گاه ناپایدار، دسترسی سریع و مطمئن به تمام فایل‌ها.
  • حفظ کیفیت: محتوای با کیفیت بالا و بدون افت کیفیت.
  • حمل آسان: فلش مموری کوچک و قابل حمل، همراه همیشگی شما در مسیر یادگیری.

این دوره سرمایه‌گذاری ارزشمندی بر روی آینده شغلی شماست. با تسلط بر پایتون و تبلو، گام‌های بلندی در دنیای تحلیل داده بردارید!

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