SQL for Data Analysis

via FutureLearn

FutureLearn

119 Courses


course image

Overview

Looking to boost your career options and earning potential? The demand for data analysis skills is significantly growing, outpacing the overall labor market. With our "SQL for Data Analysis" course, part of the Data Analysis for Business ExpertTrack, you're set to enhance your abilities and prepare for professional use of these invaluable skills.

Advance your SQL knowledge by learning how to filter and aggregate data with basic SQL queries. This course will teach you to refine your database queries, enabling detailed analysis and insights into your business analytics. Furthermore, understanding the difference between correlation and causation is crucial in data analysis. This course will guide you through the nuances of these concepts, helping you avoid common pitfalls and draw more accurate conclusions from your data.

Discover how to calculate correlation using Pearson’s coefficient, a method for measuring linear relationships between two variables. This course is tailored for:

  • Early-stage or aspiring data or business analysts seeking to enhance their data analysis capabilities.
  • Business professionals in need of data analytics skills for their roles.
  • Business or arts graduates aiming to enter the professional world with necessary quantitative skills, including data analysis.

We'll utilize tools such as DB Browser for SQLite and Excel throughout the course, with a recommendation for an online version of Excel for those without it. Participants are advised to access the course via a computer for the optimal experience.

This offering is brought to you by FutureLearn, categorized under Data Analysis Courses, Business Intelligence Courses, and SQL Courses, equipping you with the skills needed to excel in today's data-driven business environment.

Syllabus


Taught by

Jacques Haasbroek


Tags

provider FutureLearn

FutureLearn

119 Courses


FutureLearn

pricing Paid Course
language English
duration 4 weeks, 4 hours a week
sessions On-Demand
level Intermediate