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Le Wagon Paris - students 3-Jul-05-2021-12-47-19-34-PM
Overview

Upskill with our Data Analytics bootcamp

From data collection to data visualization, get all the technical and business skills to launch a thriving career as a Data Analyst.

  • ✔️

    Learn how to collect, extract and transform data

  • ✔️

    Master business KPIs for creating useful dashboards

  • ✔️

    Excel in Analytics tools used by top-tier companies

  • ✔️

    Build a strong portfolio working on real-world data sets

You will master these programming languages and tech tools:

Python Python
SQL SQL
Looker Studio Looker Studio
Power BI Power BI
Zapier Zapier
Google Tag Manager Google Tag Manager
Curriculum

What you'll learn in this Data Analytics bootcamp

Master data collection, transformation, and visualization and start your Data Analyst career. Build teamwork and business skills to thrive within collaborative Data teams.

40h

Preparation work

Our data analytics course is intense. To be prepared and make the most out of the bootcamp, you must complete 40 hours of preparation work to give you basic tech foundations and culture.

What you will do in practice:

  • 40 hours of online tutorials

Software and languages you will learn:

Python Python
SQL SQL
Google Sheets Google Sheets

40h

Understand and manipulate data

What data is available? Where are they found? What KPIs do we want to follow? In this module, you will conduct in-depth analysis on business data and build automated dashboards with Google Sheets.

What you will do in practice:

  • Identify the data sources to use
  • Build a sales funnel for a sales team
  • Analyze campaign performance for a marketing team
  • Analyze customer retention for a product team

Software and languages you will learn:

Google Sheets Google Sheets

48h

Master the language of Data Analysts

Understand all the techniques to centralize and transform your data in a data warehouse. Create effective dashboards and conduct in-depth analysis for business teams.

What you will do in practice:

  • Query the database to respond to business requests
  • Clean data from business rules
  • Build data models for marketing, sales and product teams
  • Perform analytical queries and optimize your queries

Software and languages you will learn:

BigQuery BigQuery
SQL SQL

56h

Recover and clean data automatically

You're not going to spend all day updating your charts! Master ELT tools (Extract, Load, Transform), APIs or No-code / Low-code tools to extract data from different sources and centralize it. Track the data of your web app by creating a tagging plan.

What you will do in practice:

  • Use APIs and implement webhooks
  • Build an automated lead acquisition workflow for a growth team
  • Track a new website event for a Marketing team
  • Duplicate CRM data in the Data warehouse for a Data team

Software and languages you will learn:

Zapier Zapier
Google Tag Manager Google Tag Manager
dbt dbt

56h

Build interactive dashboards

Create exceptionally clear and interactive charts and dashboards for your teams. Unlock valuable data insights through the adoption of precise analysis methodologies.

What you will do in practice:

  • Select the optimal graphics, contextualize data, and structure information
  • Build dashboards using Google Data Studio and PowerBI
  • Provide data-driven recommendations for action
  • Analyze AB test outcomes to inform product development decisions

Software and languages you will learn:

Power BI Power BI
Looker Studio Looker Studio

80h

Analyse and predict results

Manipulate large volumes of data and understand how to represent them. Master the basics of Machine Learning to predict results and perform complex analysis. Collaborate better with data science and engineering teams.

What you will do in practice:

  • Create your environments and practice versioning with git
  • Predict which users are most at risk of leaving
  • Identify the most discriminating variables among your data
  • Anticipate future revenue and group your customers by category

Software and languages you will learn:

Python Python
Jupyter Jupyter
Pandas Pandas
Scikit-Learn Scikit-Learn
Plotly Plotly
HTML HTML

80h

Become a Data Analyst for our partners

Conduct a comprehensive data analysis project with real partner data. Master problem formulation, data extraction, centralization, processing and analysis, and the creation of automated value-driven dashboards.

Examples of projects:

  • Define the go-to-market strategy for Fox Intelligence by Nielsen.
  • Define the key factors for success in the Highway Code with Ornikar's data.
  • Optimize student placement rate with JobTeaser's data.
  • ... And many others!

Start your career in data analytics!

From the moment you embark on your tech journey, our dedicated career services team is there to provide you with tailored guidance throughout and beyond your training. Connect with our vast network of 1000+ hiring partners, benefit from 1:1 coaching and much more!

  • Elevate your personal branding & get technical interview training
  • Benefit from 1:1 coaching & key alumni Q&A sessions
  • Connect with an extensive network of 1000+ hiring partners
  • Get a lifetime access to Le Wagon content

format

Intensive learning or learning without quitting your job?

Want to learn to code without quitting your job? Choose our part-time format.
Looking for an intensive training to graduate in only 2 months? Join our full-time format.

on-campus-1

Full time

Ready to dive into tech? Join our intensive course. Monday to Friday, 9am to 6pm.


  • ✔️

    Graduate in 2 months

  • ✔️

    Morning lectures and peer-to peer challenges the rest of the day

  • ✔️

    40 hours of study in total, per week

  • ✔️

    At our Montreal campus or online

online-1-1-1

Part time

Have commitments? Learn in your free time when it’s most convenient for you.


  • ✔️

    Graduate in 6 months

  • ✔️

    Learn collaboratively with peers

  • ✔️

    16 hours of study in total, per week

  • ✔️

    At our Montreal campus or online

From the comfort of your home or from our campus in Montreal

You can choose the location that best suits your needs.


  • ✔️

    Online: Study from anywhere

  • ✔️

    On-campus: Experience hands-on learning in a dynamic setting providing network opportunities

Upcoming sessions

Join our next session in person or online

Learn in person or online, full-time or part-time. Choose the format that suits you.

Admission

How to apply to our Data analytics course

Our admission process is beginner-friendly and will give you a taste of our course. Your application will be processed within 48 hours.

1

No prerequisites

The Data Analytics bootcamp is beginner-friendly, with no prerequisites required. What counts for us is that you’re motivated to start your new tech journey.

2

Book an interview with our advisor

When you apply, we'll get back to you to schedule a 30-minute video interview. We'll talk about your professional project and your motivation.

3

Pass our quiz

You will take a quiz to assess your logic, curiosity and learning capacity in Le Wagon courses.

4

Payment options & prepwork

The last step will consist of finding the most suitable financing option for you. Then, you'll jump into the prepwork which consists of 40h of online training.

Would you like more details about our Data Analytics bootcamp?

✔

Understand the goal of the course

✔

Get our syllabus week by week

✔

Understand our methodology

Download the course syllabus

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