Data Science Course by Henry Harvin
$185
Course Features
Duration
40 hours
Delivery Method
Online
Available on
Limited Access
Accessibility
Mobile, Desktop
Language
English
Subtitles
English
Level
Intermediate
Teaching Type
Self Paced
Video Content
40 hours
Course Description
Course Overview
Live Class
Internship
Job Assistance
Alumni Network
Personlized Teaching
Post Course Interactions
Instructor-Moderated Discussions
Case Studies, Captstone Projects
Skills You Will Gain
Prerequisites/Requirements
There is no minimum criterion set for attending this Data Science course
Some programming experience (in any language) is recommended
We also suggest a working knowledge of mathematics up to algebra (neither calculus or linear algebra are required)
What You Will Learn
Learn to apply various Data Science and Machine Learning skills and techniques
Practice with various tools used by Data Scientists and become experienced in using them
Master the key steps involved in tackling a data science problem and learn to think and work like a Data Scientist
Write SQL to query databases and explore relational database concepts
Understand Python which aids Data Science
Import and clean data sets, analyze data, build, and evaluate data models
Utilize several data visualization tools, techniques, and libraries
Understand and apply variously supervised and unsupervised Machine Learning models, and algorithms to address real-world challenges
Grab an ample range of career possibilities
Upgrade your CV and get better shortlisted
Target Students
Students
Professionals
Graduates
Course Accreditations
Course Reviews
Average Rating Based on 9 reviews
100%
Course FAQs
$185