Here at OpenClassrooms, we focus on high-demand roles, reverse-engineering our curriculum based on the skills needed to perform on the job.
We've built this one-year, bachelor’s-level diploma program in data analysis to enable our students to develop their careers in the growing data sector. This program is taught entirely online with one-on-one, weekly sessions with a dedicated mentor.
What will I do as a Data Analyst?
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.
A data analyst's responsibilities are diverse. They include:
- Gathering data: standardizing it while maintaining its integrity.
- Interpreting data: identifying trends and helping others make sense of it.
- Presenting data: creating dashboards, visualizations, and written reports.
- Analyzing data: supporting decision-making to improve the company’s strategy.
How much will I earn?
Here is what you can expect to earn in your career as a Data Analyst:
US Income Estimates:
- Beginner: $60,000 to $70,000 per year
- Senior: $70,000 to $100,000 per year
UK Income Estimates:
- Beginner: £22,000 to £30,000 per year
- Senior: £30,000 to £48,000 per year
(source: glassdoor.com)
Roles in data analysis are in high demand for full-time employment. Freelance Data Analysts have charged up to $500 or £400 per day of work.
What are my job prospects?
Companies around the world are looking for Data Analysts both in start-ups and in large enterprises.
This program will prepare you for the following careers:
- Data Analyst (6,000+ jobs on Indeed.com)
- Marketing Analyst (10,000+ jobs on Indeed.com)
- Business Intelligence Analyst (5,000+ jobs on Indeed.com)
Who is eligible to enroll?
To be eligible to earn this path's diploma, candidates must demonstrate proof of one of the following prerequisites:
- an associate's degree, or equivalent, in economics, finance, sales, marketing, software development or STEM.
- or a high school/secondary school degree, vocational certificate, or equivalent, and at least 2 years of professional experience in economics, finance, sales, marketing, software development or STEM.
All other candidates will need to go through a specific admissions process:
- demonstrate proof of an associate's degree, or equivalent, and at least 1 year of professional experience.
- or, demonstrate proof of a high school/secondary school degree, vocational certificate, or equivalent, and and at least 3 years of professional experience.
- and completed placement test consisting of :
- Taking OpenClassrooms courses: Destination AI: Introduction to Artificial Intelligence ; Perform an Initial Data Analysis.
- A personal data analytics or reporting project (for instance a reporting, a dashboard, a notebook) accompanied by a 10-minute recorded video that explains the project.
- Language: you will need to provide a certificate not older than 2 years to demonstrate a minimum level of English B2.
Certificates accepted:
- English Diploma from a secondary institution (private or public) or an accredited higher learning institution
- Linguaskill minimum score: 160
- BULATS minimum score: 60
- TOEIC minimum score: 785
- IELTS minimum score: 6.5
- TOEFL iBT minimum score: 88
- Cambridge FCE / CAE / BEC HIGHER / BEC VANTAGE minimum score or grade: B or 160
- Certificate from a language center demonstrating a minimum level of B2 (including the number of training hours completed and the company signature or stamp)
Don’t have one of these certificates? Find out where to take an exam.
- Equipment: Access to a computer (PC or Mac), equipped with a microphone, a webcam and a good internet connection. Your computer doesn't need to be particularly powerful to complete this path, but it will need to meet the following requirements:
- CPU: 2 x 64-bit, 2.8 GHz, core i3 ou AMD Ryzen 3 minimum (ideally core i7 ou AMD Ryzen 7),
- RAM: 8 Go min (ideally 16 Go, but it's possible to use a free Google Colaboratory account for the larger datasets in the program).
- Storage: recommended minimum of 256 Go.
The list of prerequisites was updated on the 3rd of November 2021 and applies only to new students on the path. If you have enrolled before this date, the previous prerequisites apply. As a reminder, here they are: "Fundamentals of probability, statistics and linear algebra".
What will I learn?
- Perform database searches using SQL queries to retrieve relevant data.
- Transform data into valuable information.
- Create informative data visualizations.
- Create dashboards and reports to facilitate the decision making process.
- Apply key mathematical concepts for data analysis.
How will I learn at OpenClassrooms?
Our learning method is unique and revolves around two elements: professional projects and dedicated mentoring sessions.
Projects
At OpenClassrooms, learning is project-driven because that’s the fastest way to become proficient. Projects offer hands-on experience so you can hit the ground running when you start your new job.
OpenClassrooms' Data-Analyst path has 9 projects that you’ll need to complete one at a time with the support of your mentor. You’ll receive a detailed brief with the context, deliverables and additional details. Then it’s up to you to go and make it real! To do this you’ll have to be creative, coming up with innovative solutions to the questions at hand.
Want to see an example of a project? Read our blog post here.
Mentorship
During your path, you will be allocated a mentor who will offer one-to-one support via weekly video conference sessions. This mentor will offer guidance on your projects, help define objectives and guide you until you reach them. Our mentors are dedicated professionals who are experts in their field and have experience in sharing their know-how with our students.
University of Massachusetts Global Partnership
University of Massachusetts Global helps individuals continue their education for career growth by articulating OpenClassrooms Data Analyst training towards university credit and applying it to degree completion. Each program provides you with employer-designated knowledge, skills, and abilities needed in IT careers. Earn industry-recognized certifications along with degrees. Interested in business or other disciplines? Credit can also be used toward several other UMass Global programs.
UMass Global understands going back to school is not easy and recognizes every student comes to us with unique needs, providing you with the flexibility, affordability, and accessibility needed for successful education that fits your lifestyle. UMass Global is a nonprofit affiliate of the University of Massachusetts and is a fully accredited, nonprofit university designed for the busy adult. Offering over 90 programs and degrees in three learning modalities allows you to apply what you learn in courses in real-time, grow in your position, and gain the skills needed to take your career to the next level. With support from application to graduation, UMass Global is proud to have one of the highest graduation rates of any university of its kind.
Through OpenClassrooms and UMass Global’s partnership, wraparound support, and mentoring, individuals across the globe can make their career advancement dreams a reality.
To learn more, please click here.
OpenClassrooms
1. Parlez-en avec votre mentor. Il ou elle vous aidera à vous orienter et à affiner votre projet professionnel.
2. Contactez-nous afin de nous faire part de votre décision :