Python for Data Science Quick Start Guide

Learn the fundamentals of Python and how to use popular Data Science libraries to perform a simple data analysis.
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Bite-sized lessons
Interactive learning experience
Concrete examples
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In this FREE guide, 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?

  • You know how to code but you don't know very well how to use Python
  • You struggle to do simple data analysis
  • You want to understand the major Data Science libraries
  • You want to see concrete examples of Data Science libraries' implementation

By the end of this interactive guide, 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.
You'll feel more confident tackling complex problems as you navigate Python with ease. Say goodbye to the frustration of getting stuck on simple coding hurdles!
Now, you effortlessly create Python scripts, opening the door to endless possibilities. Coding is no longer a daunting task; it's a tool you wield with confidence.
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Discover Pandas, a powerful library for data manipulation and analysis. Say goodbye to messy datasets!
With Pandas, you can clean, filter, and transform data effortlessly, saving you time and energy.
No more drowning in chaotic spreadsheets. You'll experience the joy of working with organized, structured data, making your analysis a breeze.
You're no longer overwhelmed by data chaos. Instead, you confidently navigate datasets, extracting valuable insights and making informed decisions.
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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.
You'll feel the relief of quick, accurate computations, eliminating the frustration of waiting for your code to catch up.
Now, you're a data magician, effortlessly crunching numbers and unveiling patterns that were once hidden in the data shadows.
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Unleash the power of visualization with Matplotlib and Seaborn, turning dull data into captivating graphs.
Visualizing data becomes a breeze, allowing you to communicate your findings effectively.
Say goodbye to the confusion of presenting raw numbers. Your insights will be crystal clear, resonating with your audience.
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.
Gone are the days of uncertainty. You'll gain the satisfaction of applying your knowledge to real datasets, seeing tangible results.
You've evolved into a data science explorer, confidently delving into datasets, extracting meaningful insights, and driving informed decisions. Your journey has just begun!
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Join our FREE guide

I'll be waiting for you in the first module!

Frequently asked questions

Do I need to know how to code?

Yes, you need to have at least 6 months experience because we won't dwell on the fundamentals of programming.

Will we be doing machine learning?

We will work on the previous steps which allow us to do data analysis.

Your Data Science Mentor

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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