Python Data Science β From Pandas Basics to Machine Learning Models with 10 Exams
Human-made, AI-enhanced and always refined for quality. Python has become the language of dataβand this course shows why.
01
Skill level
All levels
02
Sections
6
03
Lectures
38
04
Instructor
Team Mammoth
What's inside
This course includes.
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6
Sections
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7
Quizzes
✓
Certificate of completion
Included
✓
Mobile and desktop access
Included
✓
AI learning assistance
Included
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Course content
Curriculum & lectures.
+ Data Science Methodology and Strategic Thinking 6 lectures Preview
Data Science Problem Framing and Business Alignment
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Data Science Project Lifecycle Management
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Data Strategy and Governance Framework
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Experimental Design for Data Science
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Ethical Considerations in Data Science Practice
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Data Science Team Structure and Leadership
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+ Advanced Data Analysis Patterns and Strategies 6 lectures
Complex Data Structure Analysis Methodologies
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Advanced Statistical Inference and Causality
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Robust Data Analysis and Uncertainty Quantification
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Multi-modal Data Integration Strategies
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Longitudinal and Panel Data Analysis
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Advanced Sampling and Survey Methodology
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+ Feature Engineering Philosophy and Advanced Techniques 6 lectures
Domain-Driven Feature Engineering Strategies
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Temporal Feature Engineering and Time-Aware Modeling
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Text Feature Engineering Beyond Basics
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Interaction and Non-linear Feature Discovery
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Feature Selection Philosophy and Advanced Methods
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Feature Engineering for Different ML Paradigms
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+ Machine Learning Model Strategy and Selection 6 lectures
Algorithm Selection Framework and Decision Trees
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Model Complexity and Generalization Theory
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Ensemble Strategy and Meta-Learning Approaches
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Multi-objective Optimization in Model Selection
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Model Interpretability and Explanation Strategies
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Advanced Model Validation and Testing
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+ Business Intelligence and Strategic Analytics 6 lectures
Customer Analytics and Segmentation Strategy
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Revenue Optimization and Pricing Analytics
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Risk Assessment and Management Analytics
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Supply Chain and Operations Analytics
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Marketing Attribution and Campaign Optimization
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Product Analytics and Innovation Metrics
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+ Professional Excellence and Industry Leadership 8 lectures
Innovation and Emerging Technology Assessment
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Consulting and Advisory Excellence
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Building and Leading Data Science Organizations
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Global Data Science and Cross-Cultural Analytics
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Future of Data Science and Strategic Planning
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Data Science Communication and Stakeholder Management
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Reproducible Research and Scientific Rigor
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Career Development and Specialization Pathways
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Description
About this course.
From handling datasets with Pandas to building machine learning models, youβll explore how Python supports every stage of data work.
β Master data manipulation with Pandas
β Explore visualization and exploratory techniques
β Train and evaluate machine learning models
β Reinforce skills with 10 structured exams
Practical, versatile, and widely used, Python gives you tools to solve real-world problems.
π Gain the confidence to go from raw data to predictive insights.
Bundled items.
10 courses
Exam 10 - Python Data Science β From Pandas Basics to Machine Learning Models
Free
Exam 1 - Python Data Science β From Pandas Basics to Machine Learning Models
Free
Exam 2 - Python Data Science β From Pandas Basics to Machine Learning Models
Free
Exam 3 - Python Data Science β From Pandas Basics to Machine Learning Models
Free
Exam 4 - Python Data Science β From Pandas Basics to Machine Learning Models
Free
Exam 5 - Python Data Science β From Pandas Basics to Machine Learning Models
Free
Exam 6 - Python Data Science β From Pandas Basics to Machine Learning Models
Free
Exam 7 - Python Data Science β From Pandas Basics to Machine Learning Models
Free
Ready to start building?
Human-made, AI-enhanced and always refined for quality. Python has become the language of dataβand this course shows why.