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📚 What you'll learn
✓NumPy arrays & vectorized operations
✓Pandas DataFrames for data analysis
✓Matplotlib & Seaborn visualization
✓Statistics & hypothesis testing
✓Machine learning with Scikit-Learn
✓Clustering & unsupervised learning
✓NLP text classification basics
✓Build a complete ML project portfolio
Course Curriculum
01Python for Data Science Foundations
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Welcome & Course RoadmapVideo · 10:00
FREE
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Setting Up: Anaconda, Jupyter, VS CodeVideo · 18:00
FREE
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Python Refresher for Data ScientistsVideo · 25:00
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Working with Files: CSV, JSON, ExcelVideo · 22:00
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Introduction to NumPy — Arrays & OperationsVideo · 30:00
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NumPy Advanced — Indexing, Broadcasting, Linear AlgebraVideo · 28:00
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Section Quiz — Python & NumPyQuiz · 12:00
02Pandas — Data Analysis Powerhouse
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Pandas Series and DataFramesVideo · 28:00
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Reading, Cleaning & Exploring DataVideo · 35:00
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Filtering, Sorting & Selecting DataVideo · 25:00
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GroupBy, Aggregation & Pivot TablesVideo · 30:00
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Merging, Joining & Concatenating DataFramesVideo · 22:00
🛠️
Project 1 — Exploratory Data Analysis on Real DatasetProject · 90:00
03Data Visualization — Matplotlib & Seaborn
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Matplotlib Fundamentals — Plots & CustomizationVideo · 30:00
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Seaborn — Statistical VisualizationVideo · 25:00
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Plotly — Interactive ChartsVideo · 20:00
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Dashboard Project — Plotly Dash BasicsVideo · 22:00
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Project 2 — Sales Dashboard for a Pakistani BusinessProject · 75:00
04Statistics & Probability for Data Science
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Descriptive Statistics Deep DiveVideo · 28:00
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Probability DistributionsVideo · 32:00
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Hypothesis Testing & p-valuesVideo · 30:00
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Correlation & Regression AnalysisVideo · 26:00
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Section Quiz — Statistics & ProbabilityQuiz · 15:00
05Machine Learning with Scikit-Learn
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Introduction to Machine LearningVideo · 25:00
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Linear & Logistic RegressionVideo · 35:00
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Decision Trees & Random ForestsVideo · 32:00
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Model Evaluation & Cross-ValidationVideo · 28:00
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K-Means Clustering — Unsupervised LearningVideo · 25:00
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Natural Language Processing BasicsVideo · 28:00
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Final Project — Student Performance PredictorProject · 120:00
06Capstone & Career Roadmap
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Building Your Data Science PortfolioVideo · 22:00
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Kaggle — Competitions and DatasetsVideo · 18:00
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What to Learn Next — AI & Deep LearningVideo · 15:00
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Capstone Certificate CeremonyProject · 30:00