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With award-winning content developed by experts in the field, you can conquer the crucial skills required to succeed as a Data Scientist.
Our curriculum is broken down into easy-to-digest segments that will help you maintain consistent, steady progress.
RMOTR's vision is to make our students Data Science Experts. Our course catalog keeps growing and expanding.
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A beginner's guide to algorithms, control flow, and how to use Python to start your Data Science journey.View course
This course focuses on data structures and their usage while preparing you to manage them within projects when using Python.View course
An introduction to modules & packages, importing, and libraries in Python. This course focuses on the usage of several notable libraries, including random, math, and datetime.View course
Learn the fundamentals of Functional Programming with Python, including map/reduce, lambdas, and the advantages of immutable code.View course
Learn how to create and manage Exceptions using Python. As a result, you'll have more robust, fault tolerant, and production-ready programs.View course
Learn OOP in a simple, intuitive way. This hands-on course will teach you how classes and objects work, through multiple exercises and projects.View course
Learn how to read, write, and analyze files using Python, as well as how to access HTTP Connections (websites, APIs, and more).View course
Learn how to query, insert, update, or delete data from Databases using SQL and Python modules.View course
Learn how to use NumPy for scientific computing and build the foundations of Data Science and large data processingView course
Learn the fundamentals of Data Analysis using Pandas, the most popular Python library for Data Science.View course
Learn how to import data from the most common formats and external sources, such as SQL, Excel files, JSON, CSVs, and APIs.View course
Learn how to clean data with concise and real life strategies, regardless of where your data is coming from: databases, scraped websites, etc.View course
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