Python: Imputations, Feature Creation & Statistical Analysis

4.2
stars
25 ratings
Offered By
Coursera Project Network
2,131 already enrolled
In this Guided Project, you will:

Feature Engineering - Imputations & feature creations

Statistical Analysis, model selection,creation and evaluation

Exploratory data analysis and visualizations

Clock3 Hours
IntermediateIntermediate
CloudNo download needed
VideoSplit-screen video
Comment DotsEnglish
LaptopDesktop only

In this 3 and half hour long project-based course, you will learn how to perform imputations, feature engineering, statistical analysis, train & evaluate models and exploratory analysis and visualization on your data.

Skills you will develop

VisualizationsImputationsStatistical AnalysisFeature EngineeringFeature Creation

Learn step-by-step

In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:

  1. Task 1: Importing data and exploratory data analysis

  2. Task 2: Exploratory data visualizations

  3. Task 3: Feature Engineering – imputations & statistical analysis

  4. Task 4: Feature Creation

  5. Task 5: Advance statistical analysis and correlations

  6. Task 6: Model Selection, training and evaluation

How Guided Projects work

Your workspace is a cloud desktop right in your browser, no download required

In a split-screen video, your instructor guides you step-by-step

Reviews

TOP REVIEWS FROM PYTHON: IMPUTATIONS, FEATURE CREATION & STATISTICAL ANALYSIS

View all reviews

Frequently asked questions

Frequently Asked Questions

More questions? Visit the Learner Help Center.