Data Science Essentials

Categories: IT
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About Course

Overview

Dive into the world of data science and transform raw data into compelling stories. In this interactive project-based course, you will learn how to harness the power of Python’s popular data science libraries, Pandas and Matplotlib. This course is beginner-friendly and designed to rapidly equip you with the skills and confidence to work with data effectively. 

You will start by learning core data science skills with hands-on interactives and games. Then you will dive into projects where you will apply these concepts to real-world datasets. We’ll guide you through every step with interactive activities and an AI agent, ensuring you build a strong foundation. Along the way you will learn key ideas in data cleaningdata visualizationdata modeling, and data storytelling. Finally, we provide additional datasets and ideas for open-ended projects, where you will be able to apply what you have learned to make novel discoveries.

By the end, you’ll not only have the technical skills to tackle diverse datasets but also techniques to uncover meaningful insights and share them in compelling ways.

 

Benefits

Learn Python for data analysis with Pandas and Matplotlib, and apply your skills through hands-on, project-based learning.

Activation

Step-by-Step Guide to Activate Your Account and Access Your Course

Step 1: Click on Your Course Link (Blue Font)

Press ctrl & the blue link at the same time to access the content

 

Step 2: Create Your NetAcad Account

New User:

  • Click Sign Up if you’re new to NetAcad.  You need to scroll down the screen to see sign up.
  • Use your real name and active email address.
  • Create a strong password you’ll remember.
  • Fill in your details (, Country, Date of Birth)
  • Accept the Terms & Conditions
  • Click Submit

Existing NetAcad Learner:

  • Click Log In
  • Use your email and password to sign in

Link:

https://www.netacad.com/courses/data-science-essentials-with-python?courseLang=en-US&instance_id=9b6a4964-1330-463f-9166-af177adc9d72

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