Course Overview: The “Data Analysis with Python” course is designed to equip learners with the knowledge and practical skills needed to analyze and interpret data using Python. The course covers essential concepts in data analysis, data wrangling, statistical analysis, data visualization, and building predictive models. Participants will learn how to use powerful libraries such as Pandas, NumPy, Matplotlib, and Seaborn to extract valuable insights from data and make data-driven decisions.
Who Should Attend:
- Beginners in data analysis and Python programming.
- Professionals looking to upskill in data analysis.
- Anyone interested in exploring a career in data science or data analysis.Functions and modules in Python
Curriculum
- 8 Sections
- 32 Lessons
- 10 Weeks
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- Module 1: Introduction to Python for Data Analysis5
- Module 2: Data Structures and Manipulation with NumPy4
- Module 3: Data Wrangling with Pandas5
- Module 4: Data Visualization with Matplotlib and Seaborn4
- Module 5: Descriptive Statistics and Data Analysis Techniques4
- Module 6: Working with Real-World Datasets3
- Module 7: Introduction to Machine Learning for Data Analysis3
- Module 8: Final Project and Presentation4
