Data Analyst - Skills Bootcamp

Start your journey as a data analyst.

DiplomaOpenClassrooms CertificationDurationFull time: 3 months

A flexible online program

Imagine starting a brand-new career at any time! Can’t commit to full-time? No problem, study at your own pace.

Real-world projects

Acquire the most relevant skills by completing 4 projects based on those required in your future career.

Individual learning support

Benefit from weekly mentoring sessions with an expert in the field.

OpenClassrooms Certification

Leave the path with the “Step into Data Analysis” certification.

Data

Data Analyst - Skills Bootcamp

DiplomaOpenClassrooms CertificationDurationFull time: 3 months

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.
  • U.S.: Be over 18 years of age and have the right to work in the U.S.
  • 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.

Your certificate

  • OpenClassrooms is an online training educational establishment, declared as such by the French authority ‘le rectorat de l'Académie de Paris’.

  • Once you’ve completed your training program, and subject to a jury validating your skills, you will receive the OpenClassrooms standard certificate "Step into Data Analysis".

Data

Data Analyst - Skills Bootcamp

DiplomaOpenClassrooms CertificationDurationFull time: 3 months

A teaching method based on practical experience.

  • Acquire key skills for your future career with real-world projects.

  • Make progress with the support of an experienced professional.

  • Acquire concrete know-how and demonstrate it with a portfolio.

Detailed projects and skills

project 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.
Duration10 hours
Skills acquired in this project
  • Describe approaches to organisational tools and methods for data analysis
  • Describe the data life cycle and the steps involved in carrying out routine tasks
  • Implement the stages of the data analysis lifecycle
project 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.
Duration40 hours
Skills acquired in this project
  • 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
  • Describe principal approaches to defining customer requirements for data analysis
  • Collaborate and communicate internal and external stakeholders appropriately
  • Collate and interpret qualitative and quantitative data and convert into visualizations
project 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.
Duration20 hours
Skills acquired in this project
  • Identify and escalate quality risks in data analysis with suggested mitigation/resolutions
  • Apply principles of data classification within data analysis activity
  • 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
  • Describe principles of data, including open, public, administrative and research data
  • Identify data sources and the risks, challenges to combination
project 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.
Duration40 hours
Skills acquired in this project
  • Apply organizational architecture requirements to data analysis activities
  • Undertake customer requirements analysis and implement findings in planning and outputs
  • Identify and escalate quality risks in data analysis with suggested mitigation/resolutions
  • Describe the fundamentals of organisational data architecture
  • Describe the data life cycle and the steps involved in carrying out routine tasks
  • Describe fundamentals of data structures, database design, implementation and maintenance
  • Select and apply the most appropriate data tools to achieve the best outcome
  • Use data systems securely to meet requirements and in line with procedures and legislation

One-to-one learning support

  • Benefit from weekly individual mentoring sessions with an expert in the field.

  • Progress rapidly through projects thanks to their expertise in sharing know-how.

The OpenClassrooms community

  • Count on our solid student community to give you support 24-7.

  • Share your doubts or queries with a comprehensive network of students, mentors, and graduates.

How exactly will I learn on an OpenClassrooms path?

From choosing what to study to starting their new career, our students describe their experiences and the support they received at every step of the way.

See step-by-step experience

We’re here to help you

Got a question? Our team is here to help you from Monday to Friday, 9:00 AM to 7:00 PM Central European Time.

Training program last updated on Oct 13, 2022