A Data Scientist is a professional who uses analytical, statistical, and programming skills to collect large data sets.
They develop data-driven solutions explicitly tailored toward the needs of an organization.
Introduction to Big Data analytics
Data Analytics Lifecycle
Basic data analytics methods using R
Advanced analytics theory and methods
Advanced analytics—technology and tools
Putting it all together (Data visualization techniques)
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If you have a solid background in an analytical discipline, such as physics, mathematics, engineering, computer science, economics, or statistics, you can basically teach yourself the basics of data science.
هذه الدورة مقدمة من :
Identify valuable data sources and automate collection processes.
Undertake preprocessing of structured and unstructured data.
Analyze large amounts of information to discover trends and patterns.
Build predictive models and machine-learning algorithms.
Combine models through ensemble modeling.
Present information using data visualization techniques.
Propose solutions and strategies to business challenges.
Collaborate with engineering and product development teams.