Loading

Data Science - Visualizing Data and Exploring Models - Revised

Data Science
Free Course
Learn about creating visualizations for data, creating machine learning models and evaluating those models.
Start Course Now
  • Duration

    2-3 Hours
  • Assessment

    Yes
  • Certification

    Yes
  • Responsive

    Yes
  • Publisher

    Channel 9

Description

Outcome

Certification

View course modules

Description

In this online course Data Science and Machine Learning Essentials visualizing data and Exploring Models, learn about exploring your data and applying visualizations to display your data. You will learn about feature engineering and constructing machine learning models. You will learn about evaluating the models you created in Azure ML, R and Python.

The course starts off with introducing you to exploratory data analysis and data visualization. You will learn about the reasons for exploratory data analysis. You will learn about what can affect your views of data. You will learn about the different types of charts you can use to visualize your data. You will learn about the libraries and packages available for R and Python for visualizing your data.

In the next module, you will be introduced to building models and learn about feature engineering and constructing models. You will learn about what feature engineering is and about how to construct and machine learning model. You will learn about creating a machine learning model in R and Python. You will learn about evaluating your model, and why you should evaluate your model. You will learn about evaluating you model in Azure ML, R and Python.

This free Alison Course would be of great interest to those who wish to learn and expand their knowledge about data Science

Start Course Now

Learning Outcomes

Upon successful completion of this course the learner will be able to:


  • Discuss the importance of data exploration
  • Recognize what you use for data visualizations in R
  • Recognize what you use for data visualizations in Python
  • Identify the different types of plots or charts you can use to visualize your data
  • Discuss the process of feature engineering
  • Identify features and methods available in R for creating Machine learning models
  • Identify features and methods available in Python for creating Machine learning models
  • Outline the process and options for evaluating your machine learning model

Certification

All Alison courses are free to enrol, study and complete. To successfully complete this Certificate course and become an Alison Graduate, you need to achieve 80% or higher in each course assessment. Once you have completed this Certificate course, you have the option to acquire official Certification, which is a great way to share your achievement with the world. Your Alison Certification is:

Ideal for sharing with potential employers - include it in your CV, professional social media profiles and job applications
An indication of your commitment to continuously learn, upskill and achieve high results
An incentive for you to continue empowering yourself through lifelong learning

Alison offers 3 types of Certification for completed Certificate courses:

Digital Certificate - a downloadable Certificate in PDF format, immediately available to you when you complete your purchase
Certificate - a physical version of your officially branded and security-marked Certificate, posted to you with FREE shipping
Framed Certificate - a physical version of your officially branded and security-marked Certificate in a stylish frame, posted to you with FREE shipping

All Certification is available to purchase through the Alison Shop. For more information on purchasing Alison Certification, please visit our faqs. If you decide not to purchase your Alison Certification, you can still demonstrate your achievement by sharing your Learner Record or Learner Achievement Verification, both of which are accessible from your Dashboard. For more details on our Certification pricing, please visit our Pricing Page.

Careers

Course Reviews

Notification

You have received a new notification

Click here to view them all