DAT
Intermediate Data Science

Statistical Analysis with Python

Unlock your potential with this carefully crafted course on Statistical Analysis with Python. We've distilled years of industry experience into actionable lessons that you can apply immediately.\\n\\nThis course covers both theoretical foundations and practical applications. Each module builds on the previous one, ensuring a smooth learning journey.\\n\\nPerfect for self-learners and professionals seeking to expand their skillset in the growing African tech ecosystem.

Course Syllabus

Week 1: Introduction & Setup

  • Lesson 1: Practical Cleaning Preview 14min
  • Lesson 2: Hands-On Statistical Analysis Preview 13min
  • Lesson 3: Hands-On DataFrames 21min
  • Lesson 4: ETL Fundamentals 10min

Week 2: Core Concepts

  • Lesson 1: Working with Statistical Analysis 21min
  • Lesson 2: Practical Statistical Analysis 12min
  • Lesson 3: Visualization Best Practices 23min
  • Lesson 4: Deep Dive into DataFrames 18min

Week 3: Hands-On Practice

  • Lesson 1: Practical Visualization 24min
  • Lesson 2: Advanced ETL Techniques 14min
  • Lesson 3: Building DataFrames 12min
  • Lesson 4: ETL Best Practices 18min

Week 4: Intermediate Techniques

  • Lesson 1: Understanding Visualization 21min
  • Lesson 2: Building ETL 20min
  • Lesson 3: Hands-On ETL 19min
Free
238 enrolled · 4.40 rating

Instructor: Emmanuel Asante

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