Free • 100% Online • For beginners •
Live lectures • 4 weeks
 

If you want to get a grasp on the basics of Python for Data Science, this course is for you.  We've built it for beginners who are taking their first steps into the world of data and want to prepare for advanced data science and machine learning courses, like Le Wagon’s Data Science Bootcamp @Nova SBE. 

Participants who complete this course will have the ability to go further in data collection and analysis using Python to automate certain tasks or data processing. Participants will be able to use modern tools to explore and visualize their data and make better decisions.

 

Who should take this course?

⚠️ You do not need to know how to code to take this course.

  • Data curious professionals  🙇🏻‍♀️ who are not yet working in the field of Data Science,  but would love to learn more about what it means to work with large amounts of data.
  • Employees 👩‍💻 wishing to analyze large data sets with the right tools and methods to go beyond analysis in Excel.
  • Marketing teams 📈 who want to adopt a data-driven approach.
  • Managers or executives 💼 wishing to understand the challenges of modern data analysis.
  • Entrepreneurs 🚀 working on a data project.

 

So how's this going down?

During the month of July, at lunchtime on Mondays, Wednesdays and Fridays, you can join our instructors live as they walk you through a new module each day with Le Wagon’s on demand Data Analytics course. 

You will get access to:

  • 11 live classroom sessions with our instructors where you can interact and ask questions,
  • a private Slack channel with likeminded people and Le Wagon instructors,
  • a 500€ discount on our upcoming Data Science Bootcamp at Nova SBE (not eligible for alumni).
This series is for complete beginners and it’s free 🎁

 

Okay, I want to join.  How does this work?

Space is limited! We want to make sure that the most engaged and motivated applicants receive a seat. In the registration process we will follow up with a short form for you to answer. 

Class Schedule 📆

The program will run from July 8th to August 5th.

Live lectures are held on Monday, Wednesday and Fridays from 1:00PM to 1:45PM.

Modules:
python
(1) Python for Beginners
jupyter
(2) Handling a notebook
(3) Dictionaries
(3) Dictionaries
CSV
(4) Exploring data from a CSV
pandas-1
(5) Python Pandas
api-1
(6) Data Sourcing with APIs
Scraping
(7) Data Sourcing with Scraping
 
Sounds too good to be true.  What's the catch?

That's the thing, there is no catch.

This free course has the objective to evangelize the market on basic data skills as well as prepare our candidate pipeline to be 100% ready for our Data Science Bootcamp at Nova SBE starting September 5th. 

Also, who wants to hangout at the beach ALL day long, when you can be automating your data workflows, seriously! 😜

A joint effort with Nova SBE

At Nova SBE's Data Science Knowledge Center, we are focused on the future of work and we recognize a big part of our role involves equipping companies and professionals with the tools and skills to work with data effectively.  Our aim is that these collaborations and free programs will inspire our communities to start dipping their toes into the 'data lakes' that are largely untapped. 

 

Lénia Mestrinho Executive Director at Nova SBE's Data Science Knowledge Center

Lénia Mestrinho

 

-FAQ-

1) What's a "Live Class"?

We'll jump on LiveStorm (a webinar platform) where lecturers will briefly explain the key takeaways of the module of the day. Then, we'll do some Live code together! Throughout the lecture, there are teachers answering to your questions and concerns, live on the same platform.

*Live Classes will be most useful for participants who complete the Codecademy module on their own before the session.

2) What's "Slack"? What will I do there?

Slack is the communication platform we'll use to have all the members engaged and share all the info about the program. We'll use Slack to keep on communicating after each live class is over. You will have space to pose your doubts on code you've been doing, to check out other tech-events or to mingle with your fellow colleagues!

3) How is this different than typical online courses?
 
Your usual   Online Course ⚠️
Data Science for Everybody 🤓
Lectures 🖥
 Pre-recorded lectures with no live help for queries or doubts. 😫 Lectures are reviewed live and teachers will be answering all your questions during these live sessions. 👨‍🏫

Interaction 🤓

No space to interact with the community after each module. 

Dedicated Slack channel with direction for further exercises and community interaction.  

Going further ➡️

-

 Prepare yourself to join Le Wagon's intensive bootcamps. 
     

Price 💰

50-150€

FREE
4) What will I be able to do in the end?

The objective is for participants to walk away with a more foundational understanding on what it means to program with Python in Data Analytics.  Participants who complete this course will have the ability to go further in data collection and analysis using Python to automate certain tasks or data processing. Participants will be able to use modern tools to explore and visualize their data and make better decisions.

This is also a tool for participants who want to do our full-time of part-time Data Science bootcamp to get super prepared before entering the demanding program.

5) What is the selection criteria to chose candidates?

In the full application form, we’ll ask for your motivation.

Our goal with this program is to teach those that are in most need of new skills.  We aim to give out the available seats to those that are more motivated and see the potential in this course.

We’ll also take into account candidates’ availability for live sessions, as taking part in the lessons is a great part of the learning process.

6) Who's Le Wagon?

Le Wagon is Europe's leading coding school. We are now present in 38 cities worldwide, with over 120 startups in operation, and have been rated the nº1 coding bootcamp worldwide on Course Report & Switchup for 4 years in a row!

Our 9-week or 24-week, data science course equips aspiring data scientists the gives students the skills they need to launch their careers in a data science team. From Pandas to Deep Learning, students finish the course knowing how to explore, clean and transform data into actionable insights and how to implement machine learning models from start to finish in a production environment, working in teams with the best-in-class tool belt.

 
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