Data Science Course
Learn Python, exploratory data analysis, supervised & unsupervised learning and deploy models.
Duration:
4 Months
· Level: Beginner
Seats Available
24
Python
Machine Learning
Statistics
Model Evaluation
Python
scikit-learn
Pandas
Jupyter
TensorFlow (intro)
What you'll learn
Learn Python, exploratory data analysis, supervised & unsupervised learning and deploy models.
Course Curriculum
- NumPy & Pandas
- Data cleaning and manipulation
- Visualization with Matplotlib/Seaborn
- Descriptive statistics
- Hypothesis testing
- Feature engineering
- Regression, classification
- Model selection & cross-validation
- Tree-based methods & ensembles
- Saving models & serialization
- Simple Flask API for models
- Basic MLOps concepts
Modules
- Python basics
- Statistics & EDA
- Supervised learning
- Unsupervised learning
- Model deployment
Career Opportunities
- Data Scientist
- ML Engineer (junior)
- Analytics Consultant
Data Science Course
Comprehensive Data Science curriculum with Python, statistics, machine learning and model deployme...
Rating
(3)
Duration
4 Months
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