Data Types for Data Science in Python
Course Features
Duration
4 hours
Delivery Method
Online
Available on
Limited Access
Accessibility
Mobile, Desktop, Laptop
Language
English
Subtitles
English
Level
Intermediate
Teaching Type
Self Paced
Video Content
4 hours
Course Description
Careervira Take
DataCamp offers this intermediate-level certification program to help learners consolidate and extend knowledge of Python data types such as lists, dictionaries, and tuples. This knowledge leverages them to solve Data Science problems. It helps freshers and professionals to advance their career trajectories. Further, it helps gain Python Scripting, Data Types and Variables, Python Programming & Data Science skills. The curriculum is curated to industry standards, and the prerequisite to enroll in this course is to know Python. After taking this course, professionals will be ready to tackle many Data Science challenges. 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
Case Based Learning
Post Course Interactions
Case Studies,Hands-On Training,Instructor-Moderated Discussions
Skills You Will Gain
Prerequisites/Requirements
Course to be completed : Intermediate Python
What You Will Learn
Then this is the course for you. Herein, you'll consolidate and practice your knowledge of lists, dictionaries, tuples, sets, and date times
You'll see their relevance in working with lots of real data and how to leverage several of them in concert to solve multistep problems, including an extended case study using Chicago metropolitan area transit data
You'll also learn how to use many of the objects in the Python Collections module, which will allow you to store and manipulate your data for a variety of Data Scientific purposes
Course Instructors
Jason Myers
Co-Author of Essential SQLAlchemy and Software Engineer
Course Reviews
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