Hands On Training

Introduction to Linear Modeling in Python

Name: Introduction to Linear Modeling in Python
Brand: Careervira
Price: 149 USD
Availability: InStock
Rating: 5.0 (3 reviews)

DataCamp

(3)

Course Report

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Course Features

Duration

4 hours

Delivery Method

Online

Available on

Limited Access

Accessibility

Mobile, Desktop, Laptop

Language

English

Subtitles

English

Level

Beginner

Teaching Type

Self Paced

Video Content

4 hours

Course Description

Scientists are driven by one goal: To identify patterns in data and build models that can predict and describe them. The most basic pattern is a linear relationship between two variables. This course will teach you how to explore, quantify and model linear relationships in data. This course will cover techniques like least squares, linear regression, and estimation. This course will show you how to make the most of the Python data science ecosystem's most powerful tools. This course will teach you how to use python to create and analyze linear models. This course also gives you an introduction to modeling and provides the foundation for advanced techniques in statistics, machine-learning, and machine-learning.

Highlights

Rating & Reviews

Top 30 Percentile

Hands on training

Top 10 Percentile

Parameters

Hands on training

This course stands out as one of the top 10 percentile options in Python Programming, offering unparalleled hands-on training. Learners gain practical experience and skills through immersive learning, preparing them for real-world challenges. It ensures a well-rounded skill set, catering to a range of learning preferences. With a focus on Hands on training and Capstone Projects / Industry-Simulation as well as essential Virtual Labs, this course is tailored to meet diverse educational needs.

Rating & Reviews

This highly acclaimed course is among the top-rated in Python Programming, boasting a rating greater than 4 and an overall rating of 5.0. Its exceptional quality sets it apart, making it an excellent choice for individuals seeking top-notch learning experience in Python Programming.

Course Overview

Virtual Labs

International Faculty

Post Course Interactions

Hands-On Training,Instructor-Moderated Discussions

Case Studies, Captstone Projects

Skills You Will Gain

Prerequisites/Requirements

Statistical Thinking in Python (Part 2)

What You Will Learn

Explore the concepts and applications of linear models with python and build models to describe, predict, and extract insight from data patterns

Here you will apply the most powerful modeling tools in the python data science ecosystem, including scipy, statsmodels, and scikit-learn, to build and evaluate linear models

This course provides an introduction to exploring, quantifying, and modeling linear relationships in data, by demonstrating techniques such as least-squares, linear regression, estimatation, and bootstrap resampling

Course Content

Expand all sections

Module 1: Exploring Linear Trends

Module 2: Building Linear Models

Module 3: Making Model Predictions

Module 4: Estimating Model Parameters

Course Instructors

Jason Vestuto

Data Scientist, University of Texas at Austin

Jason Vestuto started life as a musician and later studied physics and taught himself to code to survive. Along the way, he has completed a couple of degrees in physics, and another in science educat...

Course Reviews

Average Rating Based on 3 reviews

5.0

100%