Data Science : Begineer to Advance

Chapters

1Data Science Foundations and Workflow

2Python Programming Essentials for Data Science

3Working with Data Sources and SQL

4Data Wrangling with NumPy and Pandas

5Data Cleaning and Preprocessing

6Exploratory Data Analysis and Visualization

EDA Mindset and Questions Descriptive Statistics Distributions and Density Plots Relationships and Correlations Multivariate Analysis Feature Importance Heuristics Visualization Principles Matplotlib Essentials Seaborn for Statistical Graphics Plotly and Interactive Charts Geospatial Visualization Basics Dashboards Overview Communicating Insights EDA Automation Storytelling with Data

7Probability and Statistics for Data Science

8Machine Learning Foundations

9Supervised Learning Algorithms

10Unsupervised Learning and Dimensionality Reduction

11Model Evaluation, Validation, and Tuning

12Feature Engineering and ML Pipelines

13Time Series Analysis and Forecasting

14Natural Language Processing

15Deep Learning, Deployment, and MLOps

Courses/Data Science : Begineer to Advance/Exploratory Data Analysis and Visualization

Exploratory Data Analysis and Visualization

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Extract insights through statistical exploration and clear visual narratives. Learn to choose appropriate charts and communicate findings effectively.

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Feature Importance Heuristics

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