Data Scientist job Description :

• Gathers, organizes, and interprets statistical data using data analysis tools to provide meaningful results for clients to make important business decisions.

• Designs, builds, integrates, and maintains big data for analysis by data analysts and scientists. Responsible for preparing and managing data from multiple sources.

• Performs duties of a data analyst with advanced algorithms and statistics expertise and the ability to build, train, and use machine learning and deep learning models to understand data.

• design, implement, and maintain systems used to collect and analyze data. They create dashboards, databases, and other platforms that allow for efficient collection and evaluation of the data.

the role of a Data Analyst is to :Designing, building, maintaining, and optimizing data pipelines, as well as working with large and complex data sets to extract, transform, and load data

• True

• False

which python library is used for data visualization

• Matplotlib

• keras

• numpy

What skills is not required for data scientist?

• Statistical analysis and computing

• Mathematics

• Data Visualization

• UX and UI Design

a Data Engineer is Responsible for preparing and managing data from multiple sources.

• True

• False

standard deviation (variance)

• is a measure of how dispersed the data is in relation to the mean. Low standard deviation means data are clustered around the mean, and high standard deviation indicates data are more spread out

• is the statistical summary, in one value, of a group of numbers.

• is the value that appears most often in a set of data values

In the example below, the mode of the serie {6, 3, 9, 6, 0, 6, 5, 9, 3}

• 6

• 5.875

• 0