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EXPLORATORY DATA ANALYSIS (EDA) ONLINE COURSE

Explore Datasets Using Python and SQL

The Metis Exploratory Data Analysis (EDA) Short Immersive Course will provide you with the skills, tools, and strategies needed to explore data. Apply what you learn in your current job or future career. 

ENROLL NOW

Upcoming Program Dates

Online Flex

Oct 18 - Nov 12

Flexible Schedule

Part-Time | Enroll

Online Flex

Nov 15 - Dec 17

Flexible Schedule

Part-Time | Enroll

Questions?
Schedule a Call

Upskill in the Data Science and Analytics Field

As companies become more reliant on data science and analytics, your EDA knowledge will prove to be a valuable asset. Here’s how our project-oriented approach to this EDA course will put you ahead of the competition.

Learn from Seasoned
Data Scientists

You’ll be taught by industry-seasoned data scientists who must meet or exceed our bar for teaching excellence.

A Portfolio-Building,
Project-Oriented
Approach

Finish with a project that shows your ability to apply your newly-acquired knowledge.

An Immersive Format
Helps You Skill
Up, Fast

You’ll acquire valuable skills quickly via in-depth lectures.

Become a Member of
Our Professional Network

Go beyond skills-building and network with a large community of data science and analytics professionals.

EDA Short Immersive at a Glance

EXPLORATORY DATA ANALYSIS (EDA)

Unit 1

Exploratory Data Analysis Basics

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

Unit 2

Exploratory Data Analysis Advanced and Project Management

In unit 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

ENROLL

An Engaging Online Experience

Live Online | Online Flex

Experience what a lecture is like and how you’ll participate during class.

Go to class whenever it’s convenient for you.

Follow along as your instructor shares a presentation on screen.

Clear deadlines and structured modules keep you on track.

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

Deepen your learning with interactive exercises to test what you’ve learned.

A digital whiteboard simulates the in-person classroom experience.

Connect with peers in the learning platform and via Slack, and attend office hours with your instructor.

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

Attend live speaker presentations, social events, and more.

Ask questions and chat with your classmates and instructors on our dedicated Slack channel.

WHICH SHORT IMMERSIVE FORMAT WORKS FOR YOU?

Whether you choose Live Online or Online Flex, you’ll be on the fast track to upskilling in Exploratory Data Analysis.

LIVE ONLINE FORMAT

Real time lectures let you devote yourself full-time to your studies for two weeks. Plus, you’ll get plenty of interaction with instructors and peers.

ONLINE FLEX FORMAT

Watch lectures on demand. Assignment deadlines hold you accountable, while structured modules and 1:1s with instructors keep you on track.

Length

Tuition

Weekly Time Commitment

Schedule

Lectures

Instructors

Office Hours

Project Presentations

Social Activities

Payment Options

PAY UP FRONT

Live Online: $3,500

Online Flex: $2,500

FINANCING OPTIONS

Coming soon! Finance your tuition through our lending partner: Ascent.

EMPLOYER SPONSORSHIP

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

TALK WITH US

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.

  • Kimberly Fessel

    Lead Data Scientist

  • Chris Bruehl

    Data Scientist

  • Rita Biagioli

    Data Scientist

Meet the Full Team

Upcoming Program Dates

Online Flex

Oct 18 - Nov 12

Flexible Schedule

Part-Time | Enroll

Online Flex

Nov 15 - Dec 17

Flexible Schedule

Part-Time | 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 for the Live Online format and $2,500 for the Online Flex format. Students can pay for the course in full or consider one of our financing options. We partner with Ascent to offer monthly repayment options for our students. Learn more by visiting Ascent.

  • What is the time commitment for this course?

    The Live Online Exploratory Data Analysis course format 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.

    For the Online Flex short immersive course format, students commit to 15-to-20 hours a week for four weeks. Students will watch on-demand lectures and engage with instructors and teaching assistants live online during 1:1 sessions as necessary. Students must complete assigned activities 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

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