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Analyzing Marketing Campaigns with pandas

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Course Report - Analyzing Marketing Campaigns with pandas

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

One of the most difficult aspects of studying data science technical skills is understanding how these skills and concepts are applied to real-world jobs. This course is ideal for those who want to learn Python and pandas or understand the work of data scientists in marketing agencies. Learn how to convert common business questions into quantifiable results. ", "Which channel has the highest number of subscribers?" ", "Why is one channel performing poorly?" A fake marketing database can be created using data obtained from an online subscription service. This course will teach Python and Pandas basics such as groupby() and merging/slicing, groupby() and groupby(). It also covers correcting various types of data and visualizing the results with matplotlib.

Course Overview

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Virtual Labs

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International Faculty

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Post Course Interactions

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Hands-On Training,Instructor-Moderated Discussions

Skills You Will Gain

Prerequisites/Requirements

Data Manipulation with pandas

What You Will Learn

Build up your pandas skills and answer marketing questions by merging, slicing, visualizing, and more!

This course will build on Python and pandas fundamentals, such as merging/slicing datasets, groupby(), correcting data types and visualizing results using matplotlib

Course Instructors

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Jill Rosok

Data Scientist at Spotify

Jill is a Data Scientist at Spotify.

Course Reviews

Average Rating Based on 3 reviews

5.0

100%

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