DAT
Beginner
Data Science
Pandas and NumPy Essentials
This comprehensive course will take you from beginner to confident practitioner in Pandas and NumPy Essentials. 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 34min
- Python Basics for Data Preview 39min
- Working with DataFrames 33min
Week 2: Week 2: Data Wrangling
- Data Cleaning Techniques 15min
- Data Transformation 43min
- Exploratory Data Analysis 44min
Week 3: Week 3: Visualization & Analysis
- Data Visualization with Matplotlib 20min
- Statistical Analysis 29min
- SQL for Data Scientists 15min
Week 4: Week 4: Final Analytics Project
- Building a Data Pipeline 32min
- Dashboard & Reporting 15min
- Presenting Data Insights 45min