Data Science

Data Science, is the process of using advanced analytical techniques and scientific principles to analyze data and extract valuable information.

Data science aims at collecting data for a variety of purposes such as decision-making, product development, trend analysis, and forecasting for companies or organizations, processing the collected data, analyzing and presenting it visually. 

A data scientist is an expert in statistics and data analytics. Data science techniques include data mining, big data analysis, data extraction, and data acquisition. Data science concepts and processes include data engineering, programming, data warehousing, machine learning, and natural language processing (NLP).

Emerging Technology Fields in Data Science

Data science is a rapidly developing field that is constantly changing. The latest discoveries and trends have divided it into large professional groups. To understand the opportunities this field has, it is of great importance to understand the emerging technologies that will shape the future in data science.

The 5 most popular technology fields developing in data science: 

1. Artificial Intelligence 
2. Cloud Services 
3. Augmented Reality / Virtual Reality
4. IoT (Internet of Things)
5. Big Data

What Skills Should a Data Scientist Have? 

Data scientists should have skills in data preparation, data mining, predictive modeling, machine learning, statistical analysis and mathematics, as well as algorithm and coding skills.

How to Become a Data Scientist?

If you want to become a Data Scientist and don't know where to start and which technologies you need to learn, you can check out the roadmap we prepared for data science.