DAT
Intermediate
Data Science
Big Data Processing
This comprehensive course will take you from beginner to confident practitioner in Big Data Processing. You'll learn industry-standard techniques and best practices used by professionals worldwide.\\n\\nThrough hands-on projects and real-world examples, you'll gain the skills needed to succeed in today's competitive tech landscape. Our curriculum is designed by industry experts with years of experience.\\n\\nBy the end of this course, you'll have a portfolio of projects to showcase your abilities and the confidence to apply your knowledge in professional settings.
Course Syllabus
Week 1: Introduction & Setup
- Lesson 1: Introduction to Visualization Preview 23min
- Lesson 2: Introduction to Cleaning Preview 11min
- Lesson 3: Visualization Best Practices 17min
Week 2: Core Concepts
- Lesson 1: Building Statistical Analysis 23min
- Lesson 2: Mastering Cleaning 20min
- Lesson 3: Cleaning Best Practices 9min
- Lesson 4: Advanced Cleaning Techniques 13min
- Lesson 5: Practical DataFrames 12min
- Lesson 6: Advanced Statistical Analysis Techniques 19min
Week 3: Hands-On Practice
- Lesson 1: Advanced Statistical Analysis Techniques 15min
- Lesson 2: Advanced Statistical Analysis Techniques 21min
- Lesson 3: Introduction to Cleaning 22min
- Lesson 4: Practical Cleaning 21min
- Lesson 5: Deep Dive into Statistical Analysis 19min
Week 4: Intermediate Techniques
- Lesson 1: Working with ETL 14min
- Lesson 2: Mastering Statistical Analysis 24min
- Lesson 3: Visualization Best Practices 11min
- Lesson 4: Building Visualization 9min
- Lesson 5: ETL Explained 13min
- Lesson 6: Working with DataFrames 9min
Week 5: Advanced Topics
- Lesson 1: Practical Visualization 17min
- Lesson 2: Building Statistical Analysis 22min
- Lesson 3: Practical Visualization 15min