Doing Data Science with Python

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Course Features

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Duration

6.4 hours

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Delivery Method

Online

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Available on

Downloadable Courses

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Accessibility

Mobile, Desktop, Laptop

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Language

English

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Subtitles

English

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Level

Beginner

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Effort

6 hours per week

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Teaching Type

Self Paced

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Video Content

6.4 hours

Course Description

This course is designed for individuals interested in becoming data scientists. It offers a comprehensive overview of the concepts and tools needed to excel in this field. The skills acquired through this course can be applied to various data science projects using a standardized approach. The course takes a practical approach, covering the entire data science project cycle from data extraction to creating machine-learning models that can be used in real-world scenarios. Python and related libraries are used to implement these concepts in an industry-standard manner. Overall, this course not only helps students gain a deep understanding of data science principles but also equips them with the practical skills necessary to succeed in the field.

Course Overview

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International Faculty

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Case Based Learning

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Post Course Interactions

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Case Studies,Instructor-Moderated Discussions

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Case Studies, Captstone Projects

Skills You Will Gain

What You Will Learn

Setting up Working Environment

Extracting Data

Exploring and Processing Data

Building and Evaluating Predictive Models

Course Instructors

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Kate Gregory

Instructor

Kate Gregory is in her fifth decade of being paid to program. Her firm, Gregory Consulting Limited, is based in rural Ontario and helps clients adopt new technologies and adjust to the changing busin...
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