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