Data Analysts are at the core of a business. What are their responsibilities?

A Data Analyst's job is to analyze data and transform it into highly valuable metrics for a company. They are responsible for both data collection and data processing as well as guaranteeing data integrity.

A Data Analyst reports the results to various departments in the company. Therefore, a Data Analyst will need to develop communication and reporting skills to support decision-making processes.

Data plays a vital role in companies: 

• 43% of companies are experiencing skill gaps in data analytics*
• 72% of C-Level executives say they have to create a data culture inside their business**

*Beyond hiring: How companies are reskilling to address talent gaps, McKinsey & Company, Feb. 2020; **Is Your Business Masquerading as Data-Driven?, Harvard Business Review, May 2020.

What Skills Will You Learn During Your Training?

Over the course of this training program, we'll teach you a variety of skills, including how to:

• Collect, compile, and clean raw data (often from lots of different sources).
• Tell stories by helping analyze, interpret, visualize, and report on what secrets are in the data.
• Draw conclusions and make recommendations that will help your business to grow.
• Organize and manage how your company stores, archives, and deletes data securely, and legally.
• Help predict the future by modeling, forecasting, and anticipating what might come next.

In addition to these technical skills, you will learn transversal or “soft” skills, which will help you grow as a software developer and allow you to progress in your career.

How Do OpenClassrooms Apprenticeships Work?  

Apprenticeship programs combine paid on-the-job learning with online project-based instruction that equips employees for high-demand careers in data, technology, and business development.

Here’s how it works:

1. Onboarding (2-3 weeks prior to start of apprenticeship): Familiarizes both the apprentice and the employer with the training components and requirements. 
2. Pre-apprenticeship (3 months of training): Provides the apprentice with scenario-based project learning coupled with weekly mentorship and skills building courses in preparation for the formal apprenticeship program.
3. Apprenticeship (12 months on-the-job, with one day per week of instruction): Continues to build apprentice’s skills via on-the-job training, corresponding online instruction, and weekly one-to-one mentoring sessions. 
4. Get certified! Following completion of the apprenticeship program, apprentices earn an industry-recognized and nationally portable credential from the U.S. Department of Labor. 

Online But Never Alone! 

Before, during, and after the training program, you’ll be accompanied by humans:

• One-to-one weekly mentorship sessions with a professional in the field, in partnership with OpenClassrooms, who’ll provide you with support and guidance to complete your projects.
• OpenClassrooms staff who’ll help you succeed in your apprenticeship.
• Our global community of student peers with whom you’ll be in regular contact through our online platform. 

“Sometimes students are afraid that others will judge them, or simply afraid of failing. My role as a mentor is to remind them that they’re in training, and they’re here to try as many things as possible. The more they try, the more feedback they’ll get on their work. This approach feeds their curiosity and helps them to go faster!”

What Our Students Say About This Apprenticeship

“After 2 months on the Data Analyst path, I learned how to use a database and the SQL and Python languages. It’s so exciting: after just 4 projects, I can already do so many things!” 

“The projects are very concrete on the training program. This ‘real life’ aspect is reinforced by the apprenticeship. What I learn in my training, I can apply at work.”

Are You Eligible for This Apprenticeship Program?

To be eligible for this apprenticeship, you must demonstrate proof of the following prerequisites:

• Be 18 years of age or older and have the right to work in the U.S.
• Hold a high school/secondary school degree, vocational certificate, or equivalent.

Technical prerequisites:

• fundamentals of probability, statistics, and linear algebra (high-school degree level)
• programming language (HTML, SQL, Python ...)
• manipulating data (Excel, BI tool ...)

These skills could be validated by having successfully completed OpenClassrooms pre-apprenticeship, an equivalent bootcamp, or the following courses: 

1. Master the Fundamentals of Excel
2. Learn Python Basics for Data Analysis.

Language: a good level of English (for non-native speakers, a CEFR level of B2, an IELTS band score of 6.5, or a TOEFL score of 80 is recommended).

Equipment: access to a computer (PC or Mac), headphones, a webcam, and a stable internet connection.

• At least 8 GB of RAM and 100 GB of storage space available on your computer.
• Administrator rights to your computer in order to install required programs.