Artificial Intelligence & Data Science
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Introduction to Data Science

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Course Report - Introduction to Data Science

Course Report

Find detailed report of this course which helps you make an informed decision on its relevance to your learning needs. Find out the course's popularity among Careervira users and the job roles that would find the course relevant for their upskilling here. You can also find how this course compares against similar courses and much more in the course report.

Course Features

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Duration

3 hours

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Delivery Method

Online

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Available on

Lifetime 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

3 hours

Course Description

Learn data analytics by working on an interesting project. Predict a winning team for English Premier League. Highly recommended for those who want to gain practical knowledge of data science. Learn all important steps such as Data Remediation, Exploratory Data Analysis, Data Modelling and Communicating Results.

Course Overview

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Case Based Learning

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Post Course Interactions

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Case Studies,Hands-On Training,Instructor-Moderated Discussions

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Case Studies, Captstone Projects

Skills You Will Gain

Prerequisites/Requirements

Anyone can do this course. You should have a basic understanding of high school mathematical concepts such as mean, median, mode calculations. If you have worked with graphs and spreadsheets, it will be easier to grasp complex concepts.

What You Will Learn

Communicating Results

Data Importing

Data Visualisation

Exploratory Data Analysis

Hypothesis Testing

Matplotlib

Modelling Solution

Pivot Table

Qualitative Data

Quantitative Data

VLOOKUP

Z - test

Data Remediation

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