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Intro to Data Analytics Course

From executives to early stage professionals, we all need to learn how to think and present like a data analyst. Get the most out of your existing data for better business decisions.

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Overview

  • Total Weeks

    6 Weeks
    Twice per Week

  • Data

    Real-World
    Datasets

  • Excell & Tableau

    MS Excel
    & Tableau

  • Accredited Certificate

    Accredited Certificate

COVID-19: LEARN FROM HOME 🔻

LEARN FROM HOME 🔻

For six years, we’ve delivered hands-on education to growth-minded professionals, equipping them with the tech-driven skills for the future of work. Now, we're taking our programs fully online to ensure the safety of our community and prepare our learners for the increasingly remote workforce.

See the Online Experience

What you will do

  • WEEK 1 Setting Goals for Data Analysis

    • Analytics Process
    • How to ask the right questions
    • Setting mesurable goals
  • WEEK 2 Data Collection

    • Identifying data sources
    • Collecting & combining multiple datasets
  • WEEK 3 Data Cleaning

    • Data cleaning techniques
    • Best practices for proper analysis
  • WEEK 4 Data Analysis - Microsoft Excel

    • Perform analysis on various data sets
    • Extract insights from your data using Excel
  • WEEK 5 Data Visualization - Tableau

    • Data visualization best practices & concepts
    • Build dashboards using Tableau
  • WEEK 6 Final Capstone Project

    • Prepare & present your own project from scratch
    • Access to custom-built resources for continuous learning
  • Download The Full Curriculum

    Name

    Location

    Email Address

    Interest

    Learning Stage

    Download Curriculum

HOW WE TEACH.

How We Teach
  • Interactive Live Online Classes


    Our instructors and mentors provide personalized and immersive education experience through live-stream technology.

  • Real-world Datasets


    Work with real-world data and apply your learnings on the job right away. Potential case studies include:

    • Marketing campaign analysis
    • Sales performance comparison
    • Real estate market trends
    • Social media engagement
    • Customer support efficiency
    • Video game data analysis

  • Mentorship


    What if you have questions during or after each class? That’s where our mentorship comes in. Mentors and instructors are available to answer your questions in real-time, or on Slack.

Instructors

Learn from professional developers who bring years of experience and passion for mentorship into the classroom.

  • coding bootcamp Instructor
    Saadat Qadri
    Modern Data Sciences Inc.
    Saadat is a co-Founder & Principal at Modern Data Sciences Inc. He is a software engineer turned data engineer, with 8+ years of experience in designing complex data infrastructure systems. His passion includes helping spread data science/engineering education.

You will also be supported by our awesome staff.

Dollars & Start Dates

Please select a city to see pricing & start dates.

Tuition Fee

$ 2,000

Deposit

$ 200

Start Dates

Vancouver

Jan 12 - Feb 18

Jan 16 - Feb 21

Feb 23 - Mar 31

Feb 27 - Apr 03

Toronto

Montreal

Calgary

Victoria

Ottawa

Formats

Tue & Thu 6:00:00 PM EST or 5:30:00 PM PST

Sat & Sun 12:30:00 PM PST

* Times based on your current timezone ()

* Plus any applicable taxes

Student Spotlight

Dilek S., PhD Candidate in Economics

Concordia University

Dilek S

“This live online course was truly engaging and enjoyable.”

“The pace and time allocated for Excel and Tableau were also ideal. We covered theory and techniques in detail, but we also had good amount of time for practice, which was key.”

FAQ

  • I'm not a Data Analyst - can I still take this course?

    But of course!

    We've designed this course for absolute data beginners. Whether you're in HR, marketing, or real estate, you'll learn the skills of basic analysis so you can apply them to your unique workspace. When we get done with you, you'll be a marketing (or fill in the blank) analyst extraordinaire!

    If you want to maximize your data-driven skills in your current field, this is the course for you. If you're considering a career in Data Analysis, this is a great way to dip your toe in the water.