Sign In
    Saved
      Sign In
      Saved

Statistical Thinking in Python (Part 2)

Home / DataCamp / Statistical Thinking in Python (Part 2)
Certification

Statistical Thinking in Python (Part 2)

This course will teach you how to perform the two most important tasks of statistical inference: parameter estimation and hypothesis testing.

5
(3)

Description

View More

Features

This course includes

Duration

4 hours
Video Content
4 hours
Level
Intermediate
Instruction Type
Self Paced
Delivery Method
Online
Available on
Mobile, Desktop, Laptop
Accessibility
Limited Access
Language
English
Subtitles
English

Skills

Statistical InferenceStatistical Hypothesis TestingPython ProgrammingStatistical AnalysisData Analysis

Learning Goals

n this course, you will do just that, expanding and honing your hacker stats toolbox to perform the two key tasks in statistical inference, parameter estimation and hypothesis testing
You will work with real data sets as you learn, culminating with analysis of measurements of the beaks of the Darwin's famous finches
You will emerge from this course with new knowledge and lots of practice under your belt, ready to attack your own inference problems out in the world

Course Content

View More
Expand All Sections

Prerequisites/Requirements

Statistical Thinking in Python (Part 1)

Instructors

Profile Image

Justin Bois

Lecturer at the California Institute of Technology

View More

Course Overview

Case Studies, Hands-On Training, Instructor-Moderated Discussions

Post course interactions

Virtual labs

Case-Based Learning

International faculty

Reviews

Average rating based on 3 reviews

5.0
100%

Sort by

Showing 0 of 0 Reviews

Course Cover

₹1,093

View More
0