Data Types for Data Science in Python

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Course Report - Data Types for Data Science in Python

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

4 hours

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Delivery Method

Online

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Available on

Limited Access

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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

Intermediate

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Teaching Type

Self Paced

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Video Content

4 hours

Course Description

Are you interested in learning more about Data Science? This course is for you. This course will consolidate and put into practice your knowledge of lists and dictionaries. These concepts can be applied to multi-step problems using lots of real data. A case study involving Chicago Metro Transit data will be shown. Additionally, you will learn how to use Python Collections for data storage and manipulation to support different Data Scientific purposes. You will be able to solve many Data Science problems Pythonically after this course.

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Highlights

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Rating & Reviews

Top 30 Percentile

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Hands on training

Top 20 Percentile

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Parameters

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Hands on training

This course stands out as one of the top 20 percentile options in Python Programming for Data Science, offering unparalleled hands-on training. Learners gain practical experience and skills through immersive learning, preparing them for real-world challenges. It ensures a well-rounded skill set, catering to a range of learning preferences. With a focus on Hands on training as well as essential Case Based Learning and Virtual Labs, this course is tailored to meet diverse educational needs.

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Rating & Reviews

This highly acclaimed course is among the top-rated in Python Programming for Data Science, boasting a rating greater than 4 and an overall rating of 5.0. Its exceptional quality sets it apart, making it an excellent choice for individuals seeking top-notch learning experience in Python Programming for Data Science.

Course Overview

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Virtual Labs

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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,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

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Jason Myers

Co-Author of Essential SQLAlchemy and Software Engineer

Jason Myers is a software engineer and author. His area of expertise is in developing data analytics platforms. He has also written the Essential SQLAlchemy book, co-authored with Rick Copeland, that...

Course Reviews

Average Rating Based on 3 reviews

5.0

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