Data science jobs are nowadays in full expansion. If you are considering a career change as a Data Scientist, or any other field of data science, you should know that this is a very promising sector of activity, offering you a very advantageous alternative.
Indeed, the development of digital technology as well as the digitalization of society with the advent of social networks and the use of connected objects are all reasons that now position data professionals among the most prized and best paid. However, you should follow an adapted training in order to have the required skills and qualities to work in this field. Here are some tips to succeed in your career transition as a Data Scientist.
How to successfully transition to a Data Scientist in 2023?
To succeed in your professional reconversion, it is essential to choose the sector of activity in which you want to launch yourself. Data processing jobs are constantly evolving, so they should be favored because of their growth and high employment potential. It is also one of the few sectors that has not really been affected by the Covid-19 crisis. On the contrary, the use of Artificial Intelligence, Machine Learning and Data Science have contributed enormously to manage the crisis.
What is a Data Scientist?
A Data Scientist is a data professional who will give value to data. His mission is to build solid Machine Learning models from the data of companies in order to orient future strategic actions. His role is to develop a Machine Learning algorithm to optimize a certain process, or to optimize a task. He will then collect the data, analyze it and clean it up in order to be able to present a result and concrete objectives, answering the request.
Why switch to data science?
A study conducted by Burtch Works in collaboration with the International Institute for Analytics (IIA) reveals that 45% of companies consider data analysis to be essential to their business. Over the past decade, the data management profession has experienced a boom as a result of digital transformation and the digitization of data. As consumer habits have evolved, they are now generating huge amounts of data. The challenge is to process all this information correctly and use it as a strategic, economic and competitive advantage. Companies do not hesitate to hire experts who are able to process and analyze this data.
Big Data is used in all fields, whether in finance, environment, agriculture, health, distribution, etc. It has given birth to many new professions such as: Data Engineer, Data Scientist, Data Analyst, Business Data Analyst, Data Manager, Machine Learning Engineer, etc... Experts in various fields are highly sought after, hence the importance of choosing the right training to make your professional transition in the best conditions. These are the professions that will allow companies to collect data, process it, and analyze it in order to obtain relevant information, with high added value, that can influence decision-making and the implementation of effective strategies.
Big data jobs have the advantage of being accessible to everyone. If you are passionate about computer science, you can turn to this sector whose demand far exceeds the number of experts on the market. This is the reason why more and more courses are offered in France. The diversity of Jedha's students testifies to the accessibility of the data professions. Choosing to retrain in Data Science is to turn to jobs that are in demand today, but also in the future, because the evolution of the tools developed implies constantly more data to process.
Which training to become a Data Scientist?
If you have already started your career, becoming a Data Scientist is often synonymous with retraining. For your career transition to be successful, you need to choose a course that really fits your professional and personal constraints. You have to take into account the duration of the training as well as the format, face-to-face or distance learning. But above all, choose a training in data science with a quality of teaching, as well as a curriculum adapted to your level and to your training project.
Jedha teaches training by level in order to allow everyone to learn at their own pace. Whether you want to create your own start-up, become a data scientist, or launch your own freelance activity, our data science training program teaches you the skills you need to succeed in your career transition.
Indeed, the Data universe has the advantage of being a community where all professionals want to improve their skills together. It will also be necessary to build a portfolio in order to attract recruiters.
Why choose an accelerated course?
To facilitate your insertion in the Data environment, consider taking a bootcamp training. Data Scientist masters or any other data science training, are mainly based on a theoretical training rather than a practical one, whereas if you choose to follow a bootcamp training, it will allow you to learn the practical in an intensive way, in order to quickly acquire the Data Scientist skills. Ideally, you should start with a retraining course to see if you like it. If you feel that this type of accelerated data science training is a good fit for you, you can then move on to much more advanced courses to develop your skills as a data scientist. Taking a course like this is also an opportunity to be around experienced professionals who can walk you through the process.
Data training for beginners
Don't worry, you can become a Data Scientist without an engineering or mathematics degree. As long as you take a beginner's course to get the basics right!
Data training for beginners allows you to understand and master the fundamental skills of the Data Analyst and Data Scientist professions. Students will start their accelerated training from scratch, using Data Visualization tools to perform a database analysis and render the results in a synthetic and relevant way. You will learn the essential Data languages such as SQL, Python, but also libraries, dictionaries, statistics, A/B Testing tools, as well as Web Analytics, Machine Learning, etc.
It is possible for you to do a work-study in this sector at the end of your training, so don't hesitate to continue to enrich your portfolio throughout your training. Yes, there are many internship and work-study opportunities for data scientists, as companies are looking for new talent.
Data Fullstack Training
A Data Fullsack training is essential to be autonomous on all the elements (tools, languages, implementation) of a Data project, in order to succeed in your professional reconversion in data science, and to launch your career. This is a training course leading to certification to work as a " Data Science Developer Designer ". At the end of the training, you will master the entire data pipeline, from data extraction and collection, to the production of your models, as well as the deployment of your web applications. The numerous data projects you will have to carry out throughout the program will allow you to develop a real expertise.
Advanced Data Training
Taking a more advanced training is the way to acquire the skills of a true Data Engineer. You will be able to structure all the data specific to a company and make it accessible in the various departments and sectors of activity. Today, large companies manage increasingly complex infrastructures. So you need to learn all the tools you need to organize them, whether it's using Spark, ETL processes or DevOps. Become an expert, and give yourself the opportunity to work in the tech industry, a sector of the future.
The Data professions are essential in an environment where consumer and professional habits are constantly being digitised. These are the professionals responsible for collecting data, processing and analysing it to provide companies with key information on strategies with high economic potential. One of the biggest advantages here is the possibility to start learning from scratch through Data Bootcamp courses for those who are not yet familiar with Big Data tools and working methods. Degree courses are also available, with more and more engineering schools offering Big Data courses. Examples include the National Institute of Applied Sciences in Rennes (INSA Rennes) and the International School of Information Processing Sciences (EISTI).
If you want to acquire the necessary skills that recruiters are looking for to become a Data Scientist, don't hesitate to look at the Data training courses that Jedha Bootcamp offers.
What is the advantage of online training?
Jedha Bootcamp offers certified and state-approved training in Data and Cybersecurity. You can choose to follow your training in face-to-face or distance learning. The hybrid format offers you real autonomy. If you are looking for training in data analysis, data science or data engineering, while continuing your job, our part-time courses are available on all our French campuses. Jedha also provides you with the JULIE platform, which will allow you to follow the courses given by our data professionals, and to follow your evolution throughout the training.
Frequently asked questions about the Data Scientist career path
How do I apply for training funding from Pôle Emploi?
If you wish to finance your training at Jedha Bootcamp, you must first have the status of a job seeker with Pôle Emploi in order to benefit from the AIF system. Once all the necessary elements have been validated, Jedha Bootcamp will take care of getting a quote from this scheme. Regional aid is also available for professional retraining.
How to become a Data Scientist after 40?
Are you looking for a career change in data science? No need to worry, our accelerated training courses allow you to train quickly, combining 30% theory and 70% practice. Becoming a data expert after 40 years old is just as legitimate. It is possible for you to retrain as a data scientist thanks to our online courses.
What is the average salary of a Data Scientist in 2023?
The average salary of a Junior Data Scientist in France in 2023 is between 40.000€ and 50.000€ per year.
With experience, a Data Scientist can expect to earn between 55.000€ and 65.000€ per year.
A Senior Data Scientist can reach a salary of 120.000€ per year.