Data Scientist Training

We start with Python and Data Analysis so that you can progress serenely in your learning afterwards. You will learn how to use Data Science libraries such as Pandas and Numpy for Data Analysis or Matplotlib and Plotly for Data Visualization.

Data management is a crucial element in a Data project. That's why we will go directly to the Data Collection and Management module. You will learn how to collect data, especially web data, with the Web Scraping techniques and the Scrapy framework. You will then see how to store data in different types of databases (SQL or NoSQL) and how to build your first ETL processes.

Let's get into the data exploitation phase. You will start with Supervised Machine Learning where you will learn how to build and evaluate complex statistical models. We will then move on to Unsupervised Learning, for segment analyses.

In this module, you will be able to build extremely robust models, deploy them and use them to create fully AI-based applications. We will use Flask to build an API, Dash to design your dashboards, MLflow coupled with AWS SageMaker to deploy your Machine Learning model.

Your program is coming to an end, join Jedha's CV library and its community of alumni! Time to work on your Personal Branding. Accompanied by our Talent Manager, you will learn the best practices of Linkedin visibility, to put forward your CV, your portfolio.