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Advanced Data Analysis Diploma


Technology_Science

حول الدورة التدريبية:

اوصل للـ Senior Level في مجال تحليل البيانات، مع دبلومة Advanced Data Analysis من EYouth بخصم 50% لفترة محدودة.

ما ستتعلمه في هذه الدورة:

1) مقدمة في تحليل البيانات

  • Importance and applications of data analysis
  • Types of data (qualitative vs. quantitative)
  • Data collection
  • Data cleaning and preprocessing
  • Data analysis techniques
  • Data visualization and reporting

2) SQL المتقدم لتحليل البيانات

  • Review of SQL Basics
  • Advanced SQL Concepts
  • Window functions and aggregate functions
  • Common table expressions (CTEs)
  • SQL for Data Manipulation
  • Offline Tools like SQL Workbench or SQL Server Management Studio
  • Project: SQL Data Analysis
  • Analyzing a dataset using advanced SQL techniques

3) تحليل البيانات باستخدام Python

  • Python usage on both online and offline
  • Data connection with Data Cleaning and Preparation
  • Handling missing data
  • Data transformation techniques
  • Merging and concatenating datasets
  • Data visualization using python (using Matplotlib and Seaborn)
  • Project: Python Data Analysis

4) تصميم البيانات باستخدام Tableau

  • Getting Started with Tableau
  • Installation and setup
  • Overview of the Tableau interface
  • Creating Visualizations
  • Comparison between Tableau and rest of viz tools
  • Building dashboards and stories
  • Best practices for data visualization
  • Project 3: Tableau Dashboard Creation
  • Building a comprehensive dashboard based on project data

5) المشروع النهائي

  • دمج المهارات المكتسبة لحل مشكلة واقعية باستخدام الأدوات الثلاثة (Python, SQL, Tableau)

لمن هذه الدبلومة:

  • الأشخاص المهتمين بتحليل البيانات و يبحثون عن وظيفة محلل بيانات
  • المبتدئين في مجال تحليل البيانات
  • الشباب من سن 16 ل 35 سنة

About the Training Course:

Reach the Senior Level in Data Analysis with the Advanced Data Analysis Diploma from EYouth — now at 50% off for a limited time!

What You'll Learn in This Course:

1) Introduction to Data Analysis

  • Importance and applications of data analysis
  • Types of data (qualitative vs. quantitative)
  • Data collection
  • Data cleaning and preprocessing
  • Data analysis techniques
  • Data visualization and reporting

2) Advanced SQL for Data Analysis

  • Review of SQL Basics
  • Advanced SQL Concepts
  • Window functions and aggregate functions
  • Common Table Expressions (CTEs)
  • SQL for Data Manipulation
  • Offline Tools like SQL Workbench or SQL Server Management Studio
  • Project: SQL Data Analysis
  • Analyzing a dataset using advanced SQL techniques

3) Data Analysis with Python

  • Using Python both online and offline
  • Connecting data with cleaning and preparation
  • Handling missing data
  • Data transformation techniques
  • Merging and concatenating datasets
  • Data visualization using Python (with Matplotlib and Seaborn)
  • Project: Python Data Analysis

4) Data Visualization with Tableau

  • Getting Started with Tableau
  • Installation and setup
  • Overview of the Tableau interface
  • Creating Visualizations
  • Comparison between Tableau and other visualization tools
  • Building dashboards and stories
  • Best practices for data visualization
  • Project: Tableau Dashboard Creation
  • Building a comprehensive dashboard based on project data

5) Final Project

  • Integrating all acquired skills to solve a real-world problem using Python, SQL, and Tableau

Who This Diploma is For:

  • Individuals interested in data analysis and seeking a data analyst role
  • Beginners in the data analysis field
  • Young people aged 16 to 35
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