Data Science Education Promotion Institute

Data Science Education Promotion Institute

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Mission
To promote accessible, affordable, engaging, and highly effective data science education to educational institutions and students.

27/11/2019

Use this QR code to access Dataquest’s FREE certificate-offering course “Python for Data Science: Intermediate”

In the Python for Data Science Intermediate course, some key techniques for working with the Python programming language for data science will be covered.

To start off, you’ll learn how to clean and prepare data in Python, a critical skill for any data analyst or data scientist job. To do this, you’ll dig into some real-world data about artwork at the Museum of Modern Art and learn to manipulate text, clean messy data, and more. You’ll also get to practice summarizing numeric data and formatting strings in Python.

Next, you will unlock the true power of Python as you dive into object-oriented programming (OOP) and how it relates to data science. Then, you’ll apply this new understanding by building your own class.

Finally, you’ll learn how clean, standardize, and analyze date and time data using Python’s datetime module.

At the end of the course, you will combine all the skills you learned to create a portfolio project centered around Hacker News post titles to find out what types of posts are most likely to be successful at what times.

Whether you’re new to the Data Science field or looking to take a step up in your career, Dataquest can teach you the data skills you’ll need.

https://www.dataquest.io/course/python-for-data-science-intermediate/

26/11/2019

Introducing Dataquest’s FREE certificate-offering course “Python for Data Science: Intermediate”

In the Python for Data Science Intermediate course, some key techniques for working with the Python programming language for data science will be covered.

To start off, you’ll learn how to clean and prepare data in Python, a critical skill for any data analyst or data scientist job. To do this, you’ll dig into some real-world data about artwork at the Museum of Modern Art and learn to manipulate text, clean messy data, and more. You’ll also get to practice summarizing numeric data and formatting strings in Python.

Next, you will unlock the true power of Python as you dive into object-oriented programming (OOP) and how it relates to data science. Then, you’ll apply this new understanding by building your own class.

Finally, you’ll learn how clean, standardize, and analyze date and time data using Python’s datetime module.

At the end of the course, you will combine all the skills you learned to create a portfolio project centered around Hacker News post titles to find out what types of posts are most likely to be successful at what times.

Whether you’re new to the Data Science field or looking to take a step up in your career, Dataquest can teach you the data skills you’ll need.

https://www.dataquest.io/course/python-for-data-science-intermediate/

26/11/2019

The idea is not to live forever, but to create something that will. – Andy Warhol

26/11/2019

Use this QR code to access Dataquest’s FREE certificate-offering course “Python for Data Science: Fundamentals”

In their introductory course on Python for data science, you’ll get an overview of the Python programming language and how you can use it for data science.

You will learn to code using real-world mobile app data while learning key Python concepts such as lists and for loops. You’ll also learn how to update variables, how to work with different kinds of data, how to manipulate Python dictionaries, and how to use custom functions to speed up your workflow.

Additionally, they will cover some coding best practices that’ll help you build good habits right from the start, and show you how to use Jupyter Notebook, a popular tool used in the Data Science workflows for easy sharing of data science projects.

At the end of the course, you will combine all the skills you have learned to create your own data science portfolio project. In this guided project, you’ll analyze different app profiles on the iOS App Store in order to make recommendations for the most profitable types of apps to develop.

Whether you’re new to the Data Science field or looking to take a step up in your career, Dataquest can teach you the data skills you’ll need.

https://www.dataquest.io/course/python-for-data-science-fundamentals/

Python for Data Science: Fundamentals – Dataquest 26/11/2019

Introducing Dataquest’s FREE certificate-offering course “Python for Data Science: Fundamentals”

In their introductory course on Python for data science, you’ll get an overview of the Python programming language and how you can use it for data science.

You will learn to code using real-world mobile app data while learning key Python concepts such as lists and for loops. You’ll also learn how to update variables, how to work with different kinds of data, how to manipulate Python dictionaries, and how to use custom functions to speed up your workflow.

Additionally, they will cover some coding best practices that’ll help you build good habits right from the start, and show you how to use Jupyter Notebook, a popular tool used in the Data Science workflows for easy sharing of data science projects.

At the end of the course, you will combine all the skills you have learned to create your own data science portfolio project. In this guided project, you’ll analyze different app profiles on the iOS App Store in order to make recommendations for the most profitable types of apps to develop.

Whether you’re new to the Data Science field or looking to take a step up in your career, Dataquest can teach you the data skills you’ll need.

https://www.dataquest.io/course/python-for-data-science-fundamentals/

Python for Data Science: Fundamentals – Dataquest In this course, we'll learn the fundamentals of Python programming for data science, and build projects. Sign up and take a free course today!

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Telephone

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Hong Kong

Opening Hours

Monday 09:00 - 17:00
Tuesday 09:00 - 17:00
Wednesday 09:00 - 17:00
Thursday 09:00 - 17:00
Friday 09:00 - 17:00