Data & AI courses

Training in Data Science allows you to acquire the skills to practice related jobs: Data Analyst, Data Scientist, Data Engineer, Data Manager or Machine Learning Engineer. 

Thanks to smartphones, social networks, connected objects, e-commerce stores, and other sources of data streams, 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.

Many wonder if Data Science and 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. The current trends in the Data Science and Big Data field are : 

– Data visualization : Organizations and businesses are recognizing the value of data visualization, which is the process of converting data into visual graphs and diagrams to create easier-to-understand visuals and insights. This trend has increased the accessibility of data, and has allowed users to better understand and explore their data.The growing number of people primarily using the Internet shows that there are more opportunities than ever to create and collect data. By enabling the organization to make data-driven decisions at high speed, these new jobs (Data Analyst, Data Engineer, Data Scientist,…), are progressively turning into the data “hero” that will help shape the future of business.
– Awareness of data value in company’s strategies : Data Science offers a tremendous amount of value to business and industries. By storing, analyzing, and interpreting data in more efficient and cost effective ways, businesses are able to optimize their operations and maximize their efficiency. Organizations also use Data Science to explore new business strategies, create new business models, optimize their customer journey and forecast future market trends. That’s why companies need people with high knowledge in new technologies like IoT, Machine Learning and Artificial Intelligence.
– Increased focus on cloud-based data analytics: Cloud-based data analytics can be applied to a wide range of industries and use cases, including customer relationship management, marketing, supply chain management, fraud detection, product development, and much more.
In addition,businesses of all sizes can use cloud-based data analytics to drive growth and better serve their customers. Organizations can implement a data-driven culture to encourage employees to collect data and make better decisions based on the insights.
– Value of Data Science tools and analytical skills: Data Science tools are the technologies and applications that are used to collect, store, and analyze data. In order to collect and analyze data effectively, it is important to understand the types of tools available and when each should be used. As the field of Data Science continues to evolve, there are many potential ways that it could be applied in the future. Some of these potential applications also require learning of skills such as the creation of artificial intelligence, advanced forecasting models, and more efficient healthcare models.

Such a course provides access to the various professions of Data Science. There are many opportunities in the Data science field thanks to the rapid evolution, it’s important to stay up-to-date on the latest trends and research. Among the most best known jobs, we can mention :
– The Data Analyst : 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 Data Engineer : Provide data to analysts and scientists. It creates “pipes” to route data from different sources to data warehouses and other platforms. He is also responsible for preparing the data and transforming it into a format suitable for analysis.
– The Data Manager : Guarantee the accessibility and availability of data. Also must ensure the data quality and their processing to Digital Laws like the GDPR (General Data Protection Regulation).

Among these professions, we can mention the Data Architect, the Big Data engineer, the Business Analyst or the Machine Learning Engineer and many more jobs which maybe do not exist yet.

There are many good reasons to get training in manipulating Big Data. First of all, the demand is extremely strong. Data science skills are one of the most sought-after skills in the 21st century, and for good reason. From unlocking insights from large datasets to building predictive models, Data Science is essential to help organizations make informed decisions.

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…

If you are looking for a Data Science training, you can choose DataScientest. Our different courses allow you to acquire the skills required for Data Science jobs: Data Analyst, Data Scientist, Data Engineer…  All our courses adopt a Blended Learning approach, and can be carried out in BootCamp or part-time training. 

Data Science is not a skill you can pick up overnight. It takes knowledge and expertise in a variety of fields, including statistics, computer science, and business. You may even need to learn new programming languages to fully take advantage of data science. With Datascientest courses, you will learn Data Science theory, apply it to real-world problems, and work on projects that are both applicable and interesting. Furthermore, thanks to our career services, 93% of our alumni have found a job at most 6 months after their training. All of our learners also receive a certificate recognized by University La Sorbonne.

Discover our Big Data training courses ! If you have any further questions, do not hesitate to take an appointment with our team !

Training in Data Science should allow you to acquire several essential skills to work in the field of Big Data. Here are some common Data Science specializations : Data analytics, Visualization, Artificial intelligence, Machine learning, Natural language processing, Data engineering and many more.

With the massive adoption of Data Science and the explosion in the volume of unstructured data such as images, sounds or videos. It is necessary to develop some hard skills. To be more specific, you will learn to use the Python, Java and C++ programming languages. You will also be asked 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. Finally, at the end of the training, you will be operational on SQL and NoSQL databases, and the different data structures.

From the first day of your training, you will be given access to a platform dedicated to career services with all information you need in your job search.

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. 
The courses can for example be paid in up to 12 installments, via the education voucher from the German Job Center, via the an income share agreement (comparable to a student loan), or by your employer. Click here if you are from a company!