Master the fundamentals of Python for Data Science and take your data skills to the next level! This course provides a practical, hands-on approach to data manipulation, analysis, and machine learning using Python. Students will gain expertise in:
Data Handling & Processing (Pandas, NumPy)
Exploratory Data Analysis (EDA) (Descriptive Statistics, Data Cleaning)
Data Visualization (Matplotlib, Seaborn, Plotly)
Statistical Analysis & Hypothesis Testing
Machine Learning Fundamentals (Scikit-Learn)
Time Series Analysis
Data Storytelling & Reporting
By the end of this course, students will be able to analyze real-world datasets, apply data science techniques, and build predictive models—empowering them for careers in data science, AI, research, and analytics.
🚀 Who Should Enroll?
- Aspiring data scientists
- Analysts and researchers
- Professionals looking to upskill
🔗 Enroll Now & Start Your Data Science Journey!
- Teacher: Dr Isaac Ajao
- Teacher: Dr Peter Ajewole