Master Python for Data Science
In this powerful training, you will learn the fundamentals of Python and how to use popular Data Science libraries to perform a simple data analysis.
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In this exclusive course, you will discover
Python fundamentals for data science
Examples of applications of popular data science libraries
How to do a simple data analysis
Is our guide right for you?
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By the end of this course, you’ll be able to …
Use Python in your Data Science projects
Learn the fundamentals of Python to quickly create Data Science projects.
Use Data Science libraries
We'll see concrete implementation examples of Data Science libraries like Pandas, NumPy, Scikit-learn.
Perform a simple data analysis
We'll finish the guide with a simple exploratory data analysis of the Netflix dataset.
What's inside?
Python fundamentals
In this module, you'll master the basic building blocks of Python, like variables, loops, and functions.
This gives you a solid foundation to write code efficiently, making your programs cleaner and easier to understand.
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Pandas
Discover Pandas, a powerful library for data manipulation and analysis.
You're no longer overwhelmed by data chaos. Instead, you confidently navigate datasets, extracting valuable insights and making informed decisions.
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NumPy
Dive into NumPy, the backbone of numerical computing in Python, empowering you to perform complex mathematical operations effortlessly.
NumPy's efficiency boosts the speed of your calculations, making data manipulation and analysis lightning-fast.
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Matplotlib/Seaborn
Unleash the power of visualization with Matplotlib and Seaborn, turning dull data into captivating graphs.
You've transformed from a data analyst to a storyteller. Your visuals speak volumes, making your data come alive and influencing decisions.
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Netflix Dataset Exploratory Data Analysis
Embark on a hands-on journey exploring the Netflix dataset, applying all your newfound Python and data science skills.
This real-world project hones your skills, bridging the gap between theory and practical application.
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Quizzes
Test your knowledge with quizzes after each lesson.
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The Ultimate Guide to understanding Math for Data Science
Grasp fundamentals with engaging illustrations so you can understand quickly the concepts. This guide is designed to help you understand probability, statistics, linear algebra, and calculus and their applications to machine learning with visual explanations.
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Frequently asked questions
Do I need to know how to code?
Not necessarily!
Will we be doing machine learning?
We will work on the previous steps which allow us to do data analysis.
Your AI/Machine learning Mentor
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With a background in computer science and a fresh perspective on the art of learning Data Science, Assitan loves creating bite-sized resources to help aspiring Data Scientists.
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