Python Data Science Toolbox (Part 1)
Course Features
Duration
3 hours
Delivery Method
Online
Available on
Limited Access
Accessibility
Mobile, Desktop, Laptop
Language
English
Subtitles
English
Level
Intermediate
Teaching Type
Self Paced
Video Content
3 hours
Course Description
Careervira Take
DataCamp offers this intermediate-level certification program to help learners build Python data science skills. It helps freshers and professionals to advance their career trajectories. It helps professionals learn the art of writing functions in Python and critical concepts like scoping and error handling. The curriculum is curated to industry standards, and the prerequisite to enroll in this course is to know Python. The course USPs are hands-on training and international faculty.
Course Credibility
Pedagogy
Hands-on training
Career impact
Pricing
Assessment
Course Overview
Virtual Labs
International Faculty
Post Course Interactions
Hands-On Training,Instructor-Moderated Discussions
Skills You Will Gain
Prerequisites/Requirements
Course to be completed : Intermediate Python
What You Will Learn
You will learn the art of function writing in this first Python Data Science Toolbox course
You'll come out of this course being able to write your very own custom functions, complete with multiple parameters and multiple return values, along with default arguments and variable-length arguments
You'll gain insight into scoping in Python and be able to write lambda functions and handle errors in your function writing practice
Course Instructors
Hugo Bowne-Anderson
Data Scientist at DataCamp
Course Reviews
Average Rating Based on 3 reviews
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