Applications and Role of Data Science

Data Scientist is one of the top positions within an organization. They open new bases of experimentation and research to the organization. Some of the direct roles of a data scientist are:
Link new data with previous ones to offer new products that meet the aspirations of the target audience.
To interpret weather conditions and redefine the supply chain accordingly.
Accelerate the evaluation and integration of datasets.
To reveal anomalies and frauds on the market.
An overview of the data science course
The Data Science course lasts more than 160 hours and includes experienced faculty working in leading organizations to keep you up-to-date on the latest technologies. Here is an overview of the course:
Mathematics and Statistics: This is an integral subject of the data science course and includes integration, differentiation, differential equations, and so on. The statistics cover inferential statistics, descriptive statistics, chi-square tests, regression analysis, and so on.
Programming language: we can choose from a large number of programming languages ​​such as Python, C ++, Matlab, Hadoop, etc.
Data Management and Data Conflicts: This part deals with the exploration, cleaning and data management using MySQL, NoSQL, Cassandra, etc.
Automatic Learning: This includes supervised and unsupervised learning, testing, reinforcement learning, model evaluation and validation.
Data Analysis and Visualization: This part teaches the use of tracing libraries for programming languages ​​such as seaborn in python, plotly, ggplot2 in R, matplotlib, and so on.

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