Book Image

Business Intelligence Career Master Plan

By : Eduardo Chavez, Danny Moncada
Book Image

Business Intelligence Career Master Plan

By: Eduardo Chavez, Danny Moncada

Overview of this book

Navigating the challenging path of a business intelligence career requires you to consider your expertise, interests, and skills. Business Intelligence Career Master Plan explores key skills like stacks, coursework, certifications, and interview advice, enabling you to make informed decisions about your BI journey. You’ll start by assessing the different roles in BI and matching your skills and career with the tech stack. You’ll then learn to build taxonomy and a data story using visualization types. Additionally, you’ll explore the fundamentals of programming, frontend development, backend development, software development lifecycle, and project management, giving you a broad view of the end-to-end BI process. With the help of the author’s expert advice, you’ll be able to identify what subjects and areas of study are crucial and would add significant value to your skill set. By the end of this book, you’ll be well-equipped to make an informed decision on which of the myriad paths to choose in your business intelligence journey based on your skill set and interests.
Table of Contents (12 chapters)

Data wrangling and visualization with Python

In this tutorial, we will walk through the process of cleaning the Data Science Job Posting dataset, which is available here: https://www.kaggle.com/datasets/rashikrahmanpritom/data-science-job-posting-on-glassdoor?resource=download.

The dataset contains information about job postings related to data science on the Glassdoor platform. Glassdoor is a popular website where individuals can find job listings, read company reviews, and access salary information. It includes a variety of fields that describe data science job postings. These fields provide details such as job titles, company names, job locations, job descriptions, required qualifications, salary information, employee reviews, and other attributes. With this dataset, you could potentially perform analyses or extract insights related to data science job trends, job requirements, salary distributions, or even sentiment analysis based on company ratings.

Once you have Python...