The new powerful tool that will guide you on your educational journey and empower your career with Data Science.
A Business Intelligence (BI) analyst is someone who is responsible for analyzing organizational data supporting the decision making processes. There is a large amount of data that is generated throughout the lifecycle of the organization. Making the most of this data and maximizing its utility through intelligent decision making is the work of a BI Analyst.
66% of data scientists reported using Python daily, making it the most used tool among analytics professionals. Join them and learn Python basics for Data Science, become versatile with Pandas, and challenge R Programmers in Statistic tasks.
R engineers create graphical representations or simulations of data as well as conduct analysis of that data using the R language. Other job duties include designing statistical models, formulating procedures, and providing technical assistance for clients.
AWS Data & ML Engineer focus on AWS Analytics and ML service offerings such as Amazon Kinesis, AWS Glue, Amazon Redshift, Amazon EMR, Amazon Athena, Amazon SageMaker, and more. AWS Data & ML Engineer design flexible and scalable solutions, and work on some of the most complex challenges in large-scale computing by utilizing skills in data structures, algorithms, and object-oriented programming.
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