Data Science & Machine Learning
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Learn Data Science & Machine Learning with this free course, provided by Edraak & Developer Circles from Facebook
Description
The aim of this course is to introduce learners to the field of Data Science, including highlighting the importance of this field and its impact on nearly every domain we can think of, familiarizing them with concepts like data mining, data visualization, machine learning, and deep learning, explaining how to build data products and companies, and providing them with the tools and resources they need to deepen their learning.
The goal of the first unit is to provide an overview of the evolution of data science, why it is important, highlight differences and similarities with machine learning and artificial intelligence and give an overview of the data science Pipeline and the main tools used by a data scientist on a daily basis, we will also see an overview of the main applications of data science in domains such as healthcare, education, mobility, energy, finance and marketing. videos will particularly highlight applications that are either ongoing or much needed in the Arab region.
The last week will provide learners with ideas, resources and tools to help them move forward after this course, either by continuing to deepen their knowledge, or by building data products & companies.
What you’ll learn
Understand the evolution of data analytics, what is meant by data science and the difference/similarities between Data Science, Machine Learning and Artificial Intelligence
Understand the impact of data science in fields such as finance, marketing, healthcare, energy, mobility, education and become aware of its business and social impact potential in the Arab world
Understand the data science pipeline including data collection, exploration, visualization, predictive analytics/machine learning
Understand how data science can translate into building data products &
companies
Be aware of the resources and tools that you will need to continue your learning journey including main programming languages, libraries, open datasets and other advanced courses/ master programs
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