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LINEAR REGRESSION AND WEB SCRAPING COURSE

Build Linear Regression and Web Scraping Skills

The Metis Short Immersive Course for Linear Regression and Web Scraping will equip you with the knowledge, skills, and techniques to solve advanced business problems using data. You’ll attend daily live online classes and complete your course in just two weeks. 

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Upcoming Program Dates

Apr 5 - Apr 16

11am - 6pm ET

Next Start | Enroll

May 3 - May 14

11am - 6pm ET

Open | Enroll

Jun 1 - Jun 11

11am - 6pm ET

Open | Enroll

Questions?
Schedule a Call

Upskill in 14 Days

Companies use linear regression to enhance their forecasts and make better decisions that impact profitability. Web scraping is used to gather unique, insightful datasets that are difficult or impossible to access with conventional means. See how this Short Immersive Course will equip you with these valuable skills.

Learn from Expert
Data Scientists

Our industry-seasoned teachers meet the highest bar of instructional excellence.

Apply Your Learnings
with a Project

Every Metis student will design and complete a project that shows you can apply your just-learned knowledge.

Build Skills Quickly
with Immersive
Classes

You’ll learn real-world skills quickly thanks to our immersive daily classes over two consecutive weeks.

Network with Data
Professionals

Taking this course goes beyond skill-building. You’ll network and keep up with an extensive community of data science professionals.

Linear Regression and Web Scraping Online Course Overview

LINEAR REGRESSION AND WEB SCRAPING COURSE

Week 1

Linear Regression Basics and Web Scraping

We’ll start with the basics. Week one is about getting acquainted with linear regression as well as feature engineering and cross-validation. In addition to these topics, you’ll learn web scraping basics.

Week 2

Linear Regression Advanced

In week two, we’ll dive deeper, covering topics like regularization and stochastic gradient descent. You’ll also learn time series regression methods. At the end of the course, you’ll present a final project.

PROJECT

Apply the skills you’ve just learned by solving a linear regression problem. You’ll web scrape to gather data, go deep into regression theory, and practice using python modules like scikit-learn. Finally, you’ll demonstrate your ability to use foundational machine learning techniques like feature engineering and cross validation.

What's Covered

  • Machine learning terminology and how to describe modeling applications, matching different modeling approaches to their appropriate use
  • How to relate the theoretical concept of predictive model complexity to model building and tuning in practice
  • Describing and applying model selection and evaluation techniques, including validation, cross-validation, and testing
  • The purpose and applications of Python web scraping libraries, including their respective strengths and limitations
  • Leveraging web scraping to navigate HTML hierarchy and extract information from it
  • Regularized linear regression, including its relationship with the bias/variance tradeoff, regularized cost functions, and the major practical differences between LASSO and ridge regularization
  • Data handling and pre-processing techniques leveraged by linear regression models
  • Interpreting visual information to gain insight into feature-target relationships and generate feature engineering ideas
  • Applying linear regression concepts to real-world business problems

Prerequisites

We recommend that you have a foundational understanding of the following:

  • The basic visualization tools used to explore, analyze, and visualize tabular datasets
  • Python and pandas
  • The mathematics basics of machine learning from calculus to linear algebra

ENROLL

Our Elite, Engaging Instructors

The Linear Regression and Web Scraping Course is taught by deeply knowledgeable, industry-seasoned instructors. Meet some of the team below.

  • Vinny Senguttuvan

    5 years at Metis

  • Joe Eddy

    3 years at Metis

  • Kimberly Fessel

    2 years at Metis

Meet the Full Team

An Online Experience that Brings the Classroom to Life

Join us for immersive, Live Online classes and get the in-depth, interactive learning experience you just can’t get with solo studying.

Follow along during lecture as your instructor shares their screen.

Interact with your instructors and classmates on video, in the chat, and with the polling feature.

Real-time whiteboarding simulates the classroom learning experience.

Collaborate with classmates during pair-programming, project work, and more.

Chat with your instructors and classmates in a dedicated Slack channel.

AVG RATING
4.89
AVG RATING
4.8
AVG RATING
4.91

Payment Options

TUITION COST

Pay your course tuition up front: $3,500

FINANCING OPTIONS

Coming soon! Finance your tuition through our lending partners: Skills Fund and Climb Credit.

EMPLOYER SPONSORSHIP

Find out if your employer will cover the cost of tuition to support your development.

CONSIDERING OUR IMMERSIVE DATA SCIENCE BOOTCAMP?

Short Immersive Course alumni can apply the amount of tuition paid for one course towards enrollment in an upcoming bootcamp upon admittance.

Upcoming Program Dates

Apr 5 - Apr 16

11am - 6pm ET

Next Start | Enroll

May 3 - May 14

11am - 6pm ET

Open | Enroll

Jun 1 - Jun 11

11am - 6pm ET

Open | Enroll

Questions?
Schedule a Call

Frequently Asked Questions

  • Are there prerequisites for the Linear Regression for Web Scraping short immersive course?

    In order to get the most out of the course, students should be comfortable with the mathematics fundamentals of machine learning including linear algebra, calculus, statistics, and probability. Additionally, students should be proficient in general pandas, Python, and basic visualization libraries, and be able to use these tools to explore, analyze, and visualize tabular datasets. 

    All students will also need an account on Github, the web-based hosting service for version control using Git. It’s fast, free, and easy, to sign up.

  • How do I enroll in the Linear Regression and Web Scraping course?

    To enroll, simply click here. Enrollment for the course closes at 8pm ET on the Friday before the start date to help ensure students receive the information they need to join the class on day 1.

  • How much does this course cost? Are there payment options?

    Tuition for the Linear Regression and Web Scraping course is $3,500. Students pay for the course in full upon enrolling.

  • How much time is required to take this course?

    This course requires a full-time commitment Monday through Friday for two weeks during the hours of 11:00 am - 6:00 pm ET / 10:00 am - 5:00 pm CT / 8:00 am - 3:00 pm PT. The daily schedule includes lectures, pair programming, independent project work, and a one hour lunch.

    Additionally, students should expect to spend additional time each night reviewing lectures, completing assignments, and working on their course project. In order to receive their certification of completion, students must maintain attendance and achieve passing scores on both the project and assessments.

  • Do I have access to Metis Career Support through the Linear Regression and Web Scraping course?

    No, we do not offer career support for avocational course students like we do for our bootcamp students. However, students will gain access to our always-expanding network of data professionals and to job opportunities and networking events that we routinely post in Slack.

  • Who is the Instructor for this course?

    Our highly qualified, industry-experienced instructors at Metis teach both our short-immersive courses and our bootcamps. Their expertise and educational experiences span healthcare, physics, business, engineering, neuroscience, and more.

ADDITIONAL FAQ

Questions?

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Explore Our Immersive Bootcamps

A Metis Short Immersive Course will take you far, but our bootcamps will take you further. Explore more than just a few topics and get in-depth, dedicated career guidance.

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