The data scientist: pivotal in data analysis and predictive modeling
What do data scientists do? Data scientists use their skills in programming, statistics and machine learning to discover meaningful patterns and trends inside large amounts of data.
Data scientists build predictive models and analyze data to provide valuable insights that give direction to business or societal decisions.
Data scientists often collaborate with data engineers and data analysts to ensure that the appropriate data is available and ready for analysis. They use advanced analysis methods to understand everything from customer behavior to future market trends.
These skills make a data scientist successful
Data scientists must possess both technical and analytical skills. These are the most important competences that every data scientist requires:
- Knowledge of statistics and mathematics: As a data scientist, you are capable of analyzing complex data sets and mathematical models thoroughly to enable accurate predictions.
- Machine learning: Data scientists are able to recognize patterns and process large quantities of data.
- Programming skills: Programming languages such as Python, R and SQL are familiar turf, as is working with large data platforms.
- Problem-solving capacity: Data scientists independently design and implement data-driven solutions for complex issues.
- Communicative skills: Data scientists have no problem questioning business professionals about their requirements and translating this into solutions that meet their needs.
With these skills, you as a data scientist can be of great value to organizations that wish to make data-driven decisions.
Essential professional knowledge for data scientists
A strong foundation in statistics, mathematics and programming skills is essential. Python and R are vital for data analysis, while knowledge of big data platforms such as Microsoft Azure helps with large-scale data processing. Understanding machine learning and translating complex analyses into actionable insights makes all the difference.
Certifications help in further developing data science expertise and align with the training courses offered by Capgemini Academy:
- Microsoft Certified: Azure Data Scientist Associate: This certification focuses on machine learning in Azure and is prepared through Capgemini Academy’s AI 900 training.
- DP-600 and DP-700 – Data Engineering on Microsoft Azure: These training courses provide insight into data integration and management, supported by specialized training within the Azure platform.
- Machine Learning certification: This provides you with the skills to apply machine learning effectively within data science projects, with targeted support from Capgemini Academy.
- GenAI for data professionals: GenAI tools enable you to work more productively and efficiently – e.g., by generating Python code automatically or accelerating data analysis.
These certifications reinforce both theoretical and practical skills and help to deploy data science solutions effectively.
The must-have training course(s) for a data scientist according to Capgemini
Would you like to take the first steps toward a career as a data scientist? Or are you looking for a solid foundation on which to build? Then this series of training courses is an ideal springboard. With these four well-coordinated basic training courses, you lay a solid foundation in data analysis, visualization and statistics.
- Introduction to data analysis: Learn how to view data in a structured way and uncover insights – essential for every data professional.
- Introduction to data science: Get acquainted with the core concepts of machine learning, models and AI, and discover how data science makes a difference.
- Data visualization: Develop the skills to present data in an accessible and persuasive way, with techniques that can be applied immediately.
- Statistics in a data-driven organization: Understand the role of statistics in decision-making and learn to interpret data reliably.
These training courses will help you develop the analytical insight and tools you need for more advanced data science projects.
View all data scientist training courses at Capgemini
Capgemini Academy offers a wide range of training courses for data scientists, from beginners to advanced. With all Capgemini training courses, you receive a digital badge as proof of participation. Many courses also include an official exam and certification.
Here’s an overview of the training courses, from the basics to specialization.
Orientation and basic knowledge
- Introduction to data-driven working: Inexperienced working with data? Then start here. This training course explains what data-driven working is all about and why it’s essential for every organization.
- Introduction to DMBOK (Data Management Body of Knowledge): Learn to understand the entire playing field of data management. A solid foundation for anyone who works with data.
- The basics of data analytics: For people changing careers or starters who have not yet completed any training. An accessible way to discover what data analytics entails.
Skills and tools
- Introduction to data analysis: Learn how to examine data in a structured way and process it into useful insights.
- Introduction to data science: Delve into the fundamentals of machine learning and AI, and discover how data science is used in practice.
- Data visualization: Present your insights clearly and convincingly with visualization techniques.
- Statistics in a data-driven organization: Understand the figures behind your analyses and use statistics to draw reliable conclusions.
- Introduction to Python: Learn the most popular programming language in data science and use Python for automation and analysis.
Advanced training and certification
- Machine Learning in Python: Apply machine learning with Python and build predictive models based on realistic data.
- Machine Learning in R: Prefer to work with R? This training offers the same in-depth approach, but in a different programming language.
- DP-900 – Microsoft Azure Data Fundamentals: Gain insight into data platforms, databases and cloud applications. Ideal for those working toward Azure.
- DP-100 – Designing and Implementing a Data Science Solution on Azure: Learn how to build a complete data science solution in Azure – including preparation for certification.
Future-focused working
- GenAI for data professionals: Explore how GenAI accelerates, supports and transforms your work as a data scientist.
- Quantum Computing Introduction: A glimpse of the future discover the basic principles of quantum computing and its impact on data science.
Extra recommendation
- Scrum Master or Scrum Lift-Off: Do you as a data scientist wish to cooperate effectively in agile teams? Then understand the principles of Scrum, and how to work within an iterative development process.
Personal skills for data scientists
In addition to substantive professional knowledge, data scientists have to be able to communicate effectively and to convey complex insights persuasively. These training courses can be of extra help:
Essential personal skills training courses
- Empathetic listening: Learn to truly listen and ask questions so that you can better understand what the business needs.
- Pyramid Principle: Apply structure to your story and convince with logical communication with impact.
Important personal skills training courses
- Storytelling: Learn to translate data into stories that will linger with your audience.
- Fundamentals of presenting professionally: Get a handle on your body language, voice and slides, and present with conviction.
Extra personal skills training
- Professional Presenting – Advanced: For those who wish to evolve toward the highest level of presenting with impact.
Your springboard to success: Capgemini Academy
- Part of one of the largest, most innovative IT service providers in the world.
- A large range of training course offerings: available both fully online and in the classroom.
- Most training courses include certification and exams.
- Trainers with passion, didactic skills and practical experience.
- Average rating by course participants: 8.8.
Do you have any questions about the role of the data scientist, or about which training fits best for you? Please do not hesitate to contact us. We will be glad to share thoughts with you – also if you’re looking for custom courses for yourself or for your team.