Data Science Immersive: Paris

In order to earn a certificate, you will be evaluated based on your ability to:

• Collect, extract, query, clean, and aggregate data for analysis. 

• Gather, store, and organise data using SQL and Git. 

• Perform visual and statistical analysis on data using Python and its associated libraries and tools. 

• Craft and share compelling narratives through data visualisation. 

• Build and implement appropriate machine learning models and algorithms to evaluate data science problems spanning finance, public policy, and more.  

• Compile clear stakeholder reports to communicate the nuances of your analyses.

• Apply question, modeling, and validation problem-solving processes to data sets from various industries to provide insight into real-world problems and solutions.

You will also need to:

• Attend all class sessions. 

• Complete all homework assignments that lead up to the final project.

• Complete your final project and present it.

Upon passing this course, you will receive a Data Science Immersive certificate. To pass, you will need to: 

• Attend all class sessions. 

• Complete all homework assignments.

• Complete and present all projects.

Thousands of GA alumni use their course certificate to demonstrate skills to potential employers — including our 19K+ hiring partners — along with their LinkedIn networks. GA’s data programmes are well-regarded by many top employers, who contribute to our curriculum and partner with us to train their own teams.

In 2021 and 2022, no student followed this course, on the French Campus.

To get more details, click on this link.

DSI students come from all walks of life but share one common mission: They are passionate about launching a career in data science or advanced analytics. We see career-changers from diverse professional backgrounds, including engineers and recent STEM graduates, mid-career marketing and financial analysts, and business strategists, as well as more those from more far-flung fields like sales and the law.

This is an intermediate-level course with some prerequisites. We recommend that students arrive with a mathematical foundation and familiarity with Python and programming fundamentals. Some students have a technical background, such as a degree in mathematics or computer science or work experience in research or analysis. Other students engage in self-learning to build a foundation ahead of class.

Our Admissions team can discuss your background and learning goals to advise if this Immersive is a good fit for you.

The course also requires:

• A good level of English proficiency (for non-native speakers, a CEFR level of B2 or a TOEFL score of 90 is recommended). Check this self-assessment grid. A placement test will be required if your native language is not English.

• Your own laptop (PC or Mac). It must be no more than four-years old and able to run the most recent operating system. 

• If remote, a webcam, headphones, and good access to the internet are required.

Here are just some of the benefits you can expect as a GA student:

• Expert instruction in the skills you need to successfully transition into a data science career. If remote, you'll be given free access to Zoom, the videoconferencing application for this instructor-led course.

• Access to self-paced pre-work to explore data science fundamentals and prepare to hit the ground running on day one of class.

• Robust coursework, including expert-vetted lesson decks, project toolkits, and more. Refresh and refine your knowledge throughout your professional journey as needed.

• A professional-grade portfolio to showcase your ability to solve real-world data problems to potential employers and collaborators.

• Individual feedback and guidance from instructors and TAs during office hours. Stay motivated and make the most of your experience with the help of GA’s dedicated team.

• Access to the collaborative chat tool Slack to communicate with your instructors, peers, and alumni throughout the course.

• Dedicated career services to help you navigate your personal job search experience, from design challenges, to salary negotiation, and more. Technical interview prep, including resume reviews, mock interviews, and whiteboarding practice.

• Exclusive access to alumni discounts, networking events, and career workshops.

• A GA course certificate to showcase your new skill set on LinkedIn.

• Connections with a professional network of instructors and peers that lasts well beyond the course. The global GA community can help you navigate and succeed in the field.

For your capstone project, you’ll tackle a real-world data problem from end to end. Develop a pitch and problem statement, source and collect relevant data, conduct an exploratory data analysis, and build a predictive model. You’ll document and share your findings through a presentation, technical report, and non-technical summary.

Throughout this Immersive, you’ll also compile a portfolio of projects designed to reinforce what you’ve learned in each unit. Gain hands-on experience with statistical and machine learning models, Python programming tools, recommender systems, neural networks, and more.
 

This Data Science Immersive course is meant for students who are committed to changing careers and provides the most direct pathway to data science and other advanced analytics roles.

For professionals who already work with data and want to perform more complex analysis involving computation, we also offer an evening and weekend Data Science course.

If you’re searching for a more entry-level course, Data Analytics teaches beginners how to perform rigorous analysis with Excel, SQL, and Tableau.

It’s up to you! Our Remote courses offer a learning experience that mirrors GA’s on-campus offerings but allow you to learn from the comfort of home. If you don’t live near a GA campus, have a busy travel schedule, or just want to save yourself the commute, a Remote course could be a good option for you, if available in your market. You’ll still get access to the expert instruction, learning resources, and support network that GA is known for.

If you prefer to learn alongside your peers and can make it to campus, our in-person courses allow you to take advantage of our beautiful classrooms and workspaces.

Our Admissions team can advise you on the best format for your personal circumstances and learning style.

Engage in live, online, project-based learning that’s designed to transform your career — from anywhere. Powered by Zoom, the major video conferencing tool, and the collaborative messaging platform Slack, our interactive classroom mirrors what you’ll encounter as part of the modern workforce.

You’ll be able to not only share your screen and present your work to classmates but also collaborate in small groups via breakout rooms. Additionally, you can revisit recordings of class sessions in the future.

Beyond class hours, get guidance, feedback, technical assistance, and more during frequent one-on-one check-ins and office hours.

The same as our on-campus experience! We approach our remote Outcomes programming with the same philosophy, promise to, and expectations of our students. Get an insider’s look at the industry through virtual sessions like day-in-the-life talks, hiring panel discussions, guest speakers, and more. You’ll work individually with your career coach to understand your local job market, find opportunities, and connect with the local data community. Our Admissions team can provide more details on the dedicated support you’ll receive on the path to landing a data science role.

Our courses will be delivered in two ways:

• Fully in English 

• In French, with English materials 

Please check with the Admissions team to confirm which is true of your course of interest and what is relevant for your situation. In both cases, if you are not native speaker, a CEFR level of B2 or a TOEFL score of 90 is recommended. (Review this self-assessment grid in English.) A placement test will be required if your native language is not English.

We offer a variety of different financing options, including instalment plans, so you can focus on what counts — your education. Speak with our Admissions team to learn more and find the best fit for you and your finances.

Do not hesitate to contact your company to find out if it can utilise its personal funds to help you finance training, or contact your National Job Centre (Pôle Emploi) advisor if you are a job-seeker. Indeed, many structures in France such as your region, Pôle Emploi, or AGEFIPH can help you finance your training. Your job-seeker advisor at Pôle Emploi will be able to direct you toward these different systems or offer you Individual Training Assistance (AIF).

GA can provide access to its courses for people with disabilities. Please contact our Admission team to discuss your needs and learn how we could support you throughout your learning journey.

View all FAQs.