Starts Tonight! Intro to Data Science Enroll Now

EXPLORATORY DATA ANALYSIS (EDA) ONLINE COURSE

Explore Datasets Using Python and SQL

In just two weeks, you’ll complete the Metis Exploratory Data Analysis (EDA) Short Immersive Course. Join daily live online classes and gather the skills, tools, and strategies to explore data and apply your learnings in your current job or future career. 

ENROLL NOW

Upcoming Program Dates

Mar 22 - Apr 2

11am - 6pm ET

Next Start | Enroll

Apr 19 - Apr 30

11am - 6pm ET

Open | Enroll

May 17 - May 28

11am - 6pm ET

Open | Enroll

Questions?
Schedule a Call

EDA Short Immersive at a Glance

EXPLORATORY DATA ANALYSIS (EDA)

Week 1

Exploratory Data Analysis Basics

We’ll start with the basics. Week one is about getting acquainted with exploratory data analysis and the tools used to extract meaningful insights, namely: SQL and Python libraries.

Week 2

Exploratory Data Analysis Advanced and Project Management

In week two, we’ll dive deeper into Python and SQL. At the end of the course, you’ll complete a final project.

PROJECT

For your project, you will extract information and insights from a messy dataset, write code in Jupyter notebooks, perform EDA using Python, and visualize results. You will also pull and clean data using a relational database.

What's Covered

  • Exploring, manipulating, and describing tabular datasets using Pandas and Numpy
  • Using Matplotlib and Seaborn to visualize variables and the relationships between them
  • Working with database tools to connect to and query from relational databases

Prerequisites

We recommend that students have a basic understanding of the following:

  • General Python programming concepts, such as data types, conditional statements, loops, and functions
  • Machine learning math fundamentals like calculus, probability, linear algebra, and statistics

The Metis Teaching Team: Elite, Seasoned, Engaging

Short Immersive Courses are led by a team of highly engaging online instructors with deep industry knowledge. Meet some of them below.
  • Vinny Senguttuvan

    5 years at Metis

  • Joe Eddy

    3 years at Metis

  • Kimberly Fessel

    2 years at Metis

Meet the Full Team

An Engaging Live Online Experience

Wherever you are, that’s where you’ll take our in-depth, interactive classes. It’s an experience you just can’t replicate when you study on your own.

Follow along as your instructor shares a presentation on screen.

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

A digital whiteboard simulates the in-person classroom experience.

Collaborate with your classmates on classwork, projects, pair-programming, and more.

Ask questions and chat with your classmates and instructors on our 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

Mar 22 - Apr 2

11am - 6pm ET

Next Start | Enroll

Apr 19 - Apr 30

11am - 6pm ET

Open | Enroll

May 17 - May 28

11am - 6pm ET

Open | Enroll

Questions?
Schedule a Call

Frequently Asked Questions

  • What are the prerequisites for the Exploratory Data Analysis short immersive course?

    Students should be proficient in general Python programming concepts, such as data types, conditional statements, loops, and functions. Students should also be comfortable with the mathematical fundamentals of machine learning including calculus, linear algebra, probability, and statistics.

    Students will also need to have a Github account. Github is a web-based hosting service for version control using Git. Sign-up for an account on their site is free, fast and easy.

  • How can I enroll in this course?

    To enroll in the Exploratory Data Analysis course, click here. Enrollment for the course will close on the Friday before the class start date by 8 pm ET. This will help ensure you receive any information required to join the class successfully on day 1.

  • What are the payment options for the course?

    Tuition for the Exploratory Data Analysis course is $3,500. Students pay for the course in full upon enrolling.

  • What is the time commitment for this course?

    The Exploratory Data Analysis course requires a full-time commitment Monday through Friday for two weeks.The short immersive course runs from 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 pair programming, lectures, one hour lunch, and independent project work. 

    Students can expect to spend additional time each night outside of class hours reviewing lectures, completing assignments, and working on their project. Students must maintain attendance and achieve passing scores on both the project and assessments to receive a certificate of completion.

  • Do I get career support if I take this course?

    We do not offer career support for avocational, short immersive course students like we do for our bootcamp students, but you will gain access to our impressive, consistently-expanding network of data professionals.  Networking events and job opportunities are posted on a regular basis in Slack.

  • Who are the Instructors for the short-immersive courses?

    Short-immersive course Instructors are the same highly-reviewed, top-notch instructors who teach our bootcamps! They bring a wealth of expertise with advanced work and educational backgrounds spanning physics, business, neuroscience, engineering, healthcare, and more.

ADDITIONAL FAQ

Questions?

Read our FAQs

Maybe You’d Prefer a Metis Bootcamp?

Bootcamps at Metis are the best option for those looking to launch a new career in data science and analytics. You’ll gain a more holistic understanding of data science and get dedicated career guidance until you’re hired.

Explore Bootcamps