DAT
Intermediate
Data Science
Statistical Analysis with Python
This comprehensive course will take you from beginner to confident practitioner in Statistical Analysis with Python. 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: Week 1: Data Science Foundations
- Introduction to Data Science Preview 16min
- Python Basics for Data Preview 35min
- Working with DataFrames 35min
Week 2: Week 2: Data Wrangling
- Data Cleaning Techniques 28min
- Data Transformation 45min
- Exploratory Data Analysis 19min
Week 3: Week 3: Visualization & Analysis
- Data Visualization with Matplotlib 21min
- Statistical Analysis 24min
- SQL for Data Scientists 43min
Week 4: Week 4: Final Analytics Project
- Building a Data Pipeline 45min
- Dashboard & Reporting 18min
- Presenting Data Insights 24min