Artificial Intelligence & Data Science
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Data Science Fundamentals

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$41

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Course Features

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Duration

2 hours

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Delivery Method

Online

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Available on

Limited Access

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Accessibility

Desktop, Laptop

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Language

English

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Subtitles

English

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Level

Beginner

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Teaching Type

Self Paced

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Video Content

2 hours

Course Description

We will first discuss exploratory data analysis and feature selection. Next, we'll explore feature engineering and other common methods for understanding and preparing the data for analysis. We will then explore some of the different algorithms that can be used to create both unsupervised or supervised machine-learning models. We will also discuss how to use validation/resampling techniques to train and test the data. We will also discuss evaluation techniques that can be used to evaluate the model's performance, and how to improve it based on those evaluations. The data science cycle will be demonstrated using a real-life example.

Data science allows us make data-driven insights. This Data Science Fundamentals course will provide an overview of data science and its use in finance and business. We will walk through the data science cycle to learn how to create machine learning models that can make predictions.

Course Overview

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Personlized Teaching

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Case Based Learning

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Post Course Interactions

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Instructor-Moderated Discussions

Skills You Will Gain

What You Will Learn

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Outline the data science cycle and machine learning process

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Explain the commonly used feature selection and feature engineering methods

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List the algorithms mostly used in supervised and unsupervised learning

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Read the key metrics used to evaluate a machine learning model

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Explain the techniques used to improve an underfitting or overfitting model

Target Students

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Business Intelligence Analyst

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Data Scientist

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Data Visualization Specialist

Course Reviews

Average Rating Based on 3 reviews

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$41

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