Our training courses in
Big Data & Data Science

Training in Big Data allows you to acquire the skills to practice Big Data jobs: Data Analyst, Data Scientist, or Data Engineer. Find out why and how to become a Data Science professional.

Thanks to smartphones, social networks, connected objects, e-commerce stores, companies have access to huge volumes of data . It 's Big Data .

By analyzing this data, it is possible to generate insights: actionable information to make better decisions, understand consumer demand or identify the strengths and weaknesses of the company. It's Data Science.

Data science and big data analytics offer many benefits to businesses . However, it requires the technical expertise of professionals such as Data Scientist, Data Analyst or Data Engineers. To exercise these professions, Big Data training is necessary.

There are many good reasons to get training in Big Data. First of all, the demand is extremely strong . Companies in all sectors are looking for qualified professionals to exploit the data stored on their systems. The number of vacancies continues to increase, and this trend will continue in the years to come.

Data analytics currently makes up one-tenth of the global IT market, but will soon account for one-third. For many organizations, this is now a top priority. And this concerns all industries, since Big Data is used in all sectors : finance, manufacturing, communication, logistics, health, retail...

Already today, the demand for specialists greatly exceeds the supply of qualified profiles on the market. And this phenomenon will only increase in the future, with the massive adoption of Data Science and the explosion in the volume of unstructured data such as images, sounds or videos.

Logically, faced with this strong demand, the salaries offered are very attractive. Technology giants like Google, Amazon or Facebook happily pay their Data Scientists, but smaller companies are also looking to surround themselves with Big Data experts by all means.

Training in Big Data should allow you to acquire several essential skills to work in the field of Data Science. In particular, you must learn to use the Python, Java and C++ programming languages.

It is imperative to handle the main Big Data tools such as Apache Hadoop, Apache Spark or Hive. Data Mining, Data Visualization and Machine Learning techniques are also part of the Data Science expert's arsenal. SQL and NoSQL databases, and the different data structures should have no secrets for you.

What are the opportunities for Big Data training ? Such a course provides access to the various professions of Data Science.

The data analyst to analyze data, and create automated systems to retrieve information from a database and compile reports or visualizations.

The data scientist goes one step further by using Machine Learning for more in-depth and automated data analysis.

The role of the data engineer is to provide data to analysts and scientists. It creates "pipes" to route data from different sources to Data Warehouses and other platforms, and is also responsible for preparing the data and transforming it into a format suitable for analysis.

Among the other Big Data professions, we can mention the architect, the Big Data engineer , the business analyst or the Machine Learning Engineer . Training in Big Data therefore offers many career opportunities.

For training in Big Data, you can choose DataScientest . Our different courses allow you to acquire the skills required for Data Science jobs: Data Analyst, Data Scientist, Data Engineer...

These professional training courses are designed by experts to meet the concrete needs of companies , and 93% of our alumni have found a job at most 6 months after their training. Learners also receive a diploma recognized by La Sorbonne.

All our courses adopt a Blended Learning approach combining distance and face-to-face learning, and can be carried out in BootCamp or Continuing Education. They can be financed using the Personal Training Account, or by Pôle Emploi via the AIF. Discover our Big Data training courses ! 

Many wonder if Big Data will ever come to an end or if it has reached its peak. What is clear now is that the amount of data is growing every year and that trends should not be ignored to better prepare for them.

• Data proliferation: The growing number of people primarily using the Internet shows that there are more opportunities than ever to create and collect data. By 2022, this data worth analyzing is expected to double.

  By enabling the organization to make data-driven decisions at high speed, IT will soon become the data “hero” that will help shape the future of business.

• Increase in data analytics:  Interconnected devices are expected to reach 31 billion in 2023. More and more companies are beginning to explore and exploit their advantages to achieve various business goals.

  Big data is invaluable to marketers and the IoT adds extra value to them. In addition to better targeting and personalization of marketing messages, companies will be able to create more useful products for their customers thanks to Big Data experts. This will help them unlock the real potential of some of these new technologies like IoT, Machine Learning and Artificial Intelligence.

• Increased focus on cloud-based data analytics: 
  Companies today are moving their big data projects en masse to the cloud. Moving data to the cloud is intensifying adoption of the latest capabilities to turn data into action. It also helps reduce ongoing maintenance and operating costs. It is thus to be expected that there will be more data on the Cloud in the future.
• More demand for big data and analytical skills: More and more companies are adopting Hadoop and other platforms used to store and process large amounts of data, which will quickly introduce new innovative solutions. For this, they will hire more experts in big data analysis to provide better service to their customers and maintain their competitive edge.