IIRF Online > Development > Data Science > Machine Learning > Data Scientist: Machine Learning Specialist
Data Scientist: Machine Learning Specialist by Codecademy
Machine Learning Data Scientists solve problems at scale, make predictions, find patterns, and more! They use Python, SQL, and algorithms.
Skills you will learn!
Curriculum
1 Topic
Discover what you will learn on your journey to becoming a Data Scientist: Machine Learning Specialist!
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Discover the world of data in this fully conceptual course where you will learn how to think about visualize and analyze data.
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Learn SQL — a popular language that's used for communicating with databases and working with data.
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Build a foundation in programming with Python with a focus on Data Science!
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Continue building your Python Skills while applying them to real data science challenges including finding and working with real data.
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Use your understanding of Python syntax to sort and analyze data about U.S. medical insurance costs!
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Learn how to use the Python pandas library and lambda functions for Data Science.
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Learn about exploratory data analysis (EDA) techniques for Data Science
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Learn how and when to use the essential statistical tools Data Scientists use to analyze data.
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If a picture is worth a thousand words then a visualization is worth more than a thousand data points. Learn how to make them here!
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Use your understanding of data visualization to analyze and plot data about GDP and life expectancy.
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Clean well-structured data is essential to data science but cleaning data requires both a keen eye and technical skills. Develop both here!
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Communication is an important part of your work as a data scientist. Learn best practices for effectively explaining your analysis.
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Use your knowledge of data analysis to interpret data about endangered animals for the National Park Service.
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Get ready for your data science specialization by reviewing how each role works to make meaning from data.
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Expand your knowledge of Python with Classes and Modules.
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Build your mathematics foundation in preparation for Machine Learning.
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Continue to build your Hypothesis Testing and Experimental Design skills!
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Build a foundational understanding of machine learning and feature engineering.
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Learn how to implement and evaluate Supervised Learning algorithms.
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Learn about feature selection methods in feature engineering.
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Learn about Unsupervised Learning algorithms their implementation and where they're used.
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Learn about ensembling methods in machine learning!
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Continue building your machine learning knowledge with SVMs Recommender Systems and Naive Bayes Classifiers.
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Explore how deep learning and neural networks are leveraged for machine learning!
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Use your knowledge of machine learning to build. train and test predictions you draw about data from OKCupid.
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Review what you learned in the Data Scientist: Machine Learning Specialist Career Path and explore ways to deepen your knowledge!
Data Scientist: Machine Learning Specialist
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