محتويات الدورة

• Welcome to the Data Science Specialization!
  • About ZAKA
  • Program overview
  • Program syllabus
  • Download the AI Certification Boarding Kit
  • Download Program Graduation Criteria
  • Best practices & tips for success
  • Are you ready
• Module 0
  • Prepwork - Get Ready!
  • Guidelines to Google Colaboratory’s environment
  • Download – Prepwork cheat sheet
• Module 1 | Data Science Foundations
  • Outline | Module 1
  • Important Notes | Module 1
  • Study Schedule | Module 1
  • Data Science Lifecycle
  • Test your ZAKA | M1 #1
  • EDA Overview
  • Basic steps of EDA
  • Test your ZAKA | M1 #2
  • Data Munging & Wrangling
  • Test your ZAKA | M1 #3
  • Data Visualization - part 1
  • Data Visualization - Part 2
  • Case Study: Covid-19 Outbreak Visualization
  • Test your ZAKA | M1 #4
  • Important Reminder
  • Tip! Refer to Python's documentation
  • Hands-on: Matplotlib Visualizations - part 1
  • Hands-on: Matplotlib Visualizations - part 2
  • Hands-on: Matplotlib Visualizations - part 3
  • Additional practice: Visualizations with Seaborn
  • Data Cleaning
  • Data Cleaning - Step 1: Diagnosis
  • Data Cleaning - Step 2: Cleaning
  • Data Cleaning - Step 3: Finding Correlations
  • Test your ZAKA | M1 #5
  • Hands-on: Data Cleaning - part 1
  • Hands-on: Data Cleaning - part 2
  • Hands-on: Data Cleaning - part 3
  • Tip! Begin your challenge
  • Data Manipulation
  • Test your ZAKA | M1 #6
  • Hands-on: Data Manipulation - part 1
  • Hands-on: Data Manipulation - part 2
  • Hands-on: Data Transformation
  • Feature Engineering
  • Issues with Features
  • Test your ZAKA | M1 #7
  • Documentation & Reporting
  • Hands-on: Full Data Science Project - part 1
  • Hands-on: Full Data Science Project - part 2
  • Hands-on: Full Data Science Project - part 3
  • Data Acquisition
  • Data Types
  • Test your ZAKA | M1 #8
  • Databases
  • Relational Database
  • Non-Relational Database
  • Hierarchical Database
  • Data Warehouses
  • Test your ZAKA 1.9
  • Download | Challenge requirements | Module 1
  • Download - Module's run-through | Module 1
  • Download - Module's deep dive | Module 1
• Module 2 Part I | Machine Learning Foundations
  • Outline | Module 2 Part 1
  • Important Notes | Module 2 Part 1
  • Study Schedule | Module 2 Part 1
  • What is AI?
  • Applications You're Familiar With
  • How is AI related to Data Science?
  • Intro to Machine Learning
  • Classes of Machine Learning
  • Types of ML Algorithms
• Module 2 Part II | Machine Learning Foundations
  • Outline | Module 2 Part 2
  • Important Notes | Module 2 Part 2
  • Study Schedule | Module 2 Part 2
  • Naive Bayes
  • Naive Bayes - Example
  • Tip! - Solve Examples by Hand
• Module 3 | Statistical Model Validation & Testing
  • Outline | Module 3
  • Important Notes | Module 3
  • Study Schedule | Module 3
  • Evaluating ML Models
  • The Holdout Method
  • K-Fold Method
  • Evaluation Metrics
  • Hands On: Evaluating ML Models
• Module 4 | Advanced Data Types
  • Outline | Module 4
  • Important Notes | Module 4
  • Study Schedule | Module 4
  • Section 1: Computer Vision
  • What is an image?
  • Image Types
  • Image Operations
  • Computer Vision
  • CV Applications
  • Emerging Trends
• Career Development Module
  • Welcome to the Career Development Module!
  • Module Schedule
  • 1.1 | Career Development - Resume
  • 1.2 | ZAKA's CV Wizard
  • 2 | Professional Email Writing
  • 3.1 | Optimize Your LinkedIn Profile
  • 3.2 | ZAKA's LinkedIn Wizard
• Module 5 | Neural Networks & Deep Learning
  • Outline | Module 5
  • Important Notes | Module 5
  • Study Schedule | Module 5
  • Intro to Neural Networks & Deep Learning
  • What is Deep Learning?
  • Neural Networks
  • Activation Functions
  • Feed Forward Neural Networks
  • Neural Network Hyperparameters
• Module 6 | Data Science Toolkit
  • Outline | Module 6
  • Important Notes | Module 6
  • Study Schedule | Module 6
  • Dive Deeper into Data related concepts
• Module 7 - Data Science in Production
  • Outline | Module 7
  • Important Notes | Module 7
  • Study Schedule | Module 7
  • Planning & Project Setup
• Module 8 | Storytelling with Data
  • Outline | Module 8
  • Important Notes | Module 8
  • Study Schedule | Module 8
  • Storytelling with data
  • Communicating as a data scientist
  • Data Visualization
  • Clutter is your enemy!