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Data Science with Python

Analyze data, build models, and communicate insights with pandas, NumPy, and scikit-learn.

4.8(1,640 ratings)
14,210 students
34h 05m total video hours
2 video lessons
Sneha Iyer

Created by

Sneha Iyer

Principal Data Scientist

Data Science with Python
Free$149.00
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34h 05m on-demand video
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What You Will Learn

Filter, aggregate, and reshape messy datasets using pandas DataFrames
Perform fast vectorized calculations on n-dimensional NumPy arrays
Clean missing values, handle outliers, and perform feature engineering
Build regression and classification pipelines using scikit-learn
Evaluate model performance with cross-validation and confusion matrices

Course Curriculum

1 modules • 2 lessons • 34h 05m total duration

Module 1: Vectorized Computing with NumPy & Data Wrangling with Pandas2h 00m

Lesson 1: Vectorized Math with NumPy Arrays

Learn how NumPy arrays store contiguous blocks of memory in C, enabling lightning-fast vectorized arithmetic without slow Python for-loops.

25:30

Lesson 2: Pandas DataFrames, GroupBy, and Cleaning

Harness pandas to load CSV/SQL data, clean missing values with fillna/dropna, and compute summary aggregations using powerful groupBy operations.

32:10

Course Final Assessment Quiz

5 questions • Instant correct/incorrect answer verification • Score 80%+ for Certificate

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About Your Instructor

Sneha Iyer

Sneha Iyer

Principal Data Scientist

Ex-fintech research lead specializing in predictive modeling, statistical inference, and large-scale data wrangling.

Requirements

  • Basic familiarity with Python syntax (variables, functions, loops)
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