Invest in your future with Le Wagon's Data Courses

Yes, certain cities offer financing options through local partners, including deferred tuition plans, student loans, and Income Share Agreements (ISA). For detailed information, visit the Le Wagon website or reach out to a local admission manager.

A Data Scientist extracts meaningful insights from complex, often unseen data, enabling organizations to solve advanced problems and make forward-looking, data-driven decisions. They leverage machine learning, predictive modeling, deep learning, and large language models (LLMs) to analyze vast datasets, identifying patterns and trends that support AI-driven initiatives. Unlike Data Analysts, Data Scientists focus on building predictive models that can process new and unseen data, essential for applications in automation and intelligent decision-making. They collaborate closely with stakeholders to uncover business opportunities, providing data-backed recommendations that shape strategic decisions and drive innovation.

By the end of the Data Science & AI Bootcamp, you’ll be equipped to work in technical roles within tech, data science, or engineering teams, transforming raw data into actionable insights and building, deploying, and optimizing machine learning and deep learning models from start to finish. You’ll gain hands-on experience with industry-leading tools, preparing you to: 

This practical expertise will empower you to drive AI-driven strategies, tackle complex data challenges, and innovate within the rapidly evolving field of data science and AI.

A data analyst is responsible for collecting, cleaning, and interpreting data sets in order to answer questions or solve problems for various industries, such as business, finance, science, and government. They turn raw data into meaningful insights, communicate this information to management and stakeholders, and oversee the processes for collecting and storing data. 

The role involves identifying critical metrics and KPIs, collecting data from sources, filtering and cleaning data, analyzing and interpreting trends, and presenting findings to key stakeholders through reports and dashboards. 

While the job of a data analyst may involve assigning numerical values to important business functions for performance assessment, it also requires the ability to use data to make informed decisions. Data analysts work in conjunction with data scientists who focus on creating predictive models and utilizing machine learning techniques.

Your career opportunities after the bootcamp are diverse. You can pursue roles such as:
• Data Analyst
• Business Analyst
• Data Manager
• Data Consultant

Alternatively, you can work as a freelancer on various data analytics projects. For those with an entrepreneurial spirit, there’s the potential to launch your own project.
Upon completing the Data Analytics Bootcamp, you'll have the skills needed to kickstart your career in a data analytics team. You'll become proficient in exploring, cleaning, and transforming data into actionable insights, and you'll learn how to implement machine learning models from start to finish in a production environment. You'll also gain experience working collaboratively in teams using industry-standard tools.

Data analytics is the process of collecting, processing, and analyzing raw data to extract insights and inform decision-making. It encompasses various techniques and methods, including data mining, predictive modeling, and statistical analysis.

Used across industries, data analytics helps improve decision-making, identify trends, and gain a competitive edge. The process involves cleaning and transforming data to prepare it for analysis, followed by exploring and visualizing the data to uncover insights.

Additionally, data analytics includes developing and implementing predictive models to assess risks and opportunities. As the volume of available data increases, data analytics has become crucial for businesses and organizations aiming to thrive in a data-driven environment.