Data Analyst - Skills Bootcamp

Start your journey as a data analyst.

Période de formation
3 mois à temps plein
Durée de la formation
110 heures supervisées

Une formation flexible 100% en ligne

Démarrez à tout moment votre nouvelle carrière ! Disponible à temps partiel ? Pas de problème, étudiez à votre rythme.

Des projets professionnalisants

Apprenez les compétences clés de votre futur métier en validant 4 projets tirés de cas concrets d’entreprise.

Un accompagnement personnalisé

Bénéficiez de sessions de mentorat avec un expert du métier.

Certification OpenClassrooms

Décrochez la certification « Step into Data Analysis ».
DataData Analyst - Skills Bootcamp
Certification
Certification OpenClassrooms
Période de formation
3 mois à temps plein
Durée de la formation
110 heures supervisées

Data is everywhere. Every time we use our smartphone to send an email, our computer to buy online, or our tablet to watch a video. The world creates roughly 2.5 quintillion bytes of data every day, but as John Naisbitt said, “We are drowning in information but starved for knowledge.” Every department is swimming in data from sales and marketing to HR and operations, but they lack data analysts to unravel its secrets. 

So, will you be the one uncovering these hidden insights and helping the company make better and faster decisions?

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, they 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.

What Will I Learn in This Training?

To analyze, prepare, and evaluate data. 

  • Data analysis
    • Analyze data to identify trends or relationships among variables.
    • Determine appropriate methods for data analysis.
  • Data visualization:
    • Prepare analytical reports.
    • Prepare graphics or other visual representations of information.
    • Present research results to others.
  • Data quality control:
    • Evaluate data quality.
    • Evaluate technical data to determine effect on designs or plans.
    • Evaluate project designs to determine adequacy or feasibility.
    • Implement security measures for computer or information systems.

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

Who Is Eligible to Enroll?

To get started on this training, you need to have the following prerequisites:

  • U.K.: Be over 19 years of age and have the right to work in the U.K.
  • Have a high school/secondary school degree, vocational certificate, or equivalent.
  • Have taken the OpenClassrooms course: Improve your Data Literacy.

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).

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

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.  

This path has four projects to complete, one at a time. You’ll receive a detailed brief with the context, customer requirements, 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 assigned 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 coach you until you reach them. Our mentors are dedicated professionals who are experts in their field and have experience sharing their know-how with our students.

Votre certificat

  • OpenClassrooms est un établissement privé d’enseignement à distance déclaré au rectorat de l’Académie de Paris.
  • À l’issue de votre formation, sous réserve de validation de vos compétences, vous obtiendrez le certificat d’établissement OpenClassrooms « Step into Data Analysis ».
DataData Analyst - Skills Bootcamp
Certification
Certification OpenClassrooms
Période de formation
3 mois à temps plein
Durée de la formation
110 heures supervisées

Une pédagogie basée sur la pratique

  • Obtenez des compétences clés en validant des projets professionnalisants.
  • Progressez à l'aide d'un expert du métier.
  • Gagnez un véritable savoir-faire ainsi qu’un portfolio pour le démontrer.

Les projets et compétences en détail

projet 1

Explore a Dataset on Energy Usage and Draw Your First Conclusions

Use a spreadsheet to transform a CSV file into tables and charts that display the energy demand over time and the factors affecting that demand.
10 heures supervisées
Compétences acquises dans ce projet
  • Implement the stages of the data analysis lifecycle
  • Describe approaches to organisational tools and methods for data analysis
  • Describe the data life cycle and the steps involved in carrying out routine tasks
projet 2

Create a Dashboard Meeting Business Requirements

Your pharmaceutical company wants to easily and efficiently monitor their ongoing projects. Your goal: create a customised dashboard using Tableau, Power BI or a spreadsheet to help them keep track of their progress.
40 heures supervisées
Compétences acquises dans ce projet
  • Collate and interpret qualitative and quantitative data and convert into visualizations
  • Collaborate and communicate internal and external stakeholders appropriately
  • Describe principal approaches to defining customer requirements for data analysis
  • Describe the data life cycle and the steps involved in carrying out routine tasks
  • Undertake customer requirements analysis and implement findings in planning and outputs
projet 3

Assess the Quality of a Dataset for a Public Service Agency

Work on a data acquisition project for the Parks and Open Spaces team of a County Council and help them decide if they have good enough data to deliver on several projects. Compile and clean the data using Python functions and evaluate its quality.
20 heures supervisées
Compétences acquises dans ce projet
  • Describe the data life cycle and the steps involved in carrying out routine tasks
  • Identify data sources and the risks, challenges to combination
  • Undertake customer requirements analysis and implement findings in planning and outputs
  • Apply principles of data classification within data analysis activity
  • Describe principles of data, including open, public, administrative and research data
  • Identify and escalate quality risks in data analysis with suggested mitigation/resolutions
projet 4

Retrieve User Activity Data on an Online Forum Using SQL

Dive into a dataset and provide invaluable insights to your social media manager on user interaction on your company’s website. Identify information such as top users, locations, and the number of comments.
40 heures supervisées
Compétences acquises dans ce projet
  • Undertake customer requirements analysis and implement findings in planning and outputs
  • Use data systems securely to meet requirements and in line with procedures and legislation
  • Describe the data life cycle and the steps involved in carrying out routine tasks
  • Describe the fundamentals of organisational data architecture
  • Identify and escalate quality risks in data analysis with suggested mitigation/resolutions
  • Apply organizational architecture requirements to data analysis activities
  • Select and apply the most appropriate data tools to achieve the best outcome
  • Describe fundamentals of data structures, database design, implementation and maintenance

Un accompagnement individuel & privilégié

  • Bénéficiez de sessions individuelles avec un mentor expert du métier.
  • Progressez rapidement dans vos projets grâce à son excellence dans le partage de son savoir-faire.

La communauté OpenClassrooms

  • Comptez sur une communauté soudée d’étudiants prête à vous aider 24h/24, 7j/7.
  • Partagez vos questions et vos doutes avec des centaines d'étudiants, de mentors et de diplômés sur un réseau social privé.

Comment se déroule un parcours OpenClassrooms ?

Du choix de leur formation au premier jour de leur nouvelle carrière, nos étudiants racontent leur expérience et l'accompagnement qu'ils ont reçu, étape par étape.

Formation mise à jour le 26 juil. 2024