Course Overview
Course Overview
This course takes learners from Python basics to advanced data analysis using real-world projects. It covers Python programming, object-oriented concepts, data structures, and automation before diving into data analysis, visualization, and statistical modeling.
Key Features:
✅ Daily hands-on labs & coding exercises
✅ Weekly quizzes & interactive coding sessions
✅ Real-world projects for practical application
✅ One-on-one mentoring & peer discussions
This comprehensive course ensures industry-ready skills for Python programming and data analysis with practical applications. 🚀
Requirements
- Python Course: Basic Computer Knowledge
- Data Analysis Course: Basic Python Knowledge, Basic Mathematics
Curriculum
- 6 Sections
- 22 Lessons
- 8 Weeks
Expand all sectionsCollapse all sections
- Module 1: Introduction to Python3
- Module 2: Python Programming Foundations4
- Module 3: Intermediate Python2
- Module 4: Data Manipulation with Python3
- Module 5: Data Analysis and Visualization with Python5
- 6.1Data cleaning techniques including handling missing data and data transformation
- 6.2Introduction to data visualization with Matplotlib and Seaborn
- 6.3Creating plots, histograms, scatter plots, and more
- 6.4Descriptive statistics with Python
- 6.5Introduction to simple machine learning concepts using scikit-learn
- Module 6: Introduction to Power BI5
Instructor
