5 SQL Courses to Extract Insights from Complex Databases for Business Analysts
Being a business analyst requires a robust understanding of data management and analytical skills, particularly in SQL. To excel in this field, it's essential to continuously enhance your SQL capabilities, enabling you to extract valuable insights from complex databases.
But how can you effectively upgrade your SQL skills? Should you consider traditional classroom learning, or is it more beneficial to enroll in specialized online courses tailored for business analysts? The latter is often the preferred choice, as online courses provide flexibility, cost-effectiveness, and access to expert instructors from anywhere in the world.
In this article, we will explore 5 SQL courses designed to help business analysts master the art of data extraction and analysis. These courses not only cover essential SQL concepts but also delve into advanced techniques applicable to real-world scenarios. By engaging with these resources, you will be better equipped to handle complex datasets and make informed business decisions based on data-driven insights.
5 Best SQL Courses for Business Analysts
Course Name |
Course Duration |
Vendors |
20 hours |
Udemy |
|
6 months |
Coursera (University of Colorado) |
|
3 months |
Udacity |
|
Excel to MySQL: Analytic Techniques for Business Specialization |
5 months |
Coursera (Duke University) |
25 hours |
Simplilearn |
Course 1: SQL - MySQL for Data Analytics and Business Intelligence
This Udemy course, instructed by Kirill Eremenko, focuses on teaching SQL with a MySQL framework. You'll learn database design, query optimization, and creating data visualizations for business intelligence. Kirill is an experienced data scientist and brings practical insights from real-world applications to the course.
Course Highlights
Course Name |
SQL - MySQL for Data Analytics and Business Intelligence |
Duration |
20 hours |
Provider |
Udemy |
Mode of Learning |
Self-paced |
Course Fee |
Varies (on discount) |
Trainer |
Kirill Eremenko |
Students Enrolled |
250,000+ |
Skill Gained |
Database management, SQL querying, data visualization |
Total Review |
50,000+ reviews |
Why Choose This Course
- Covers SQL fundamentals and advanced MySQL techniques.
- Real-world business applications.
- Instructor-led with hands-on examples.
- Comprehensive data visualization techniques for business intelligence.
Course 2: Data Warehousing for Business Intelligence Specialization
Offered by Coursera in collaboration with the University of Colorado, this specialization is ideal for those interested in business intelligence. It covers data warehousing, ETL, and decision support systems. Instructors include industry experts with academic backgrounds.
Course Highlights
Course Name |
Data Warehousing for Business Intelligence Specialization |
Duration |
6 months |
Provider |
Coursera (University of Colorado) |
Mode of Learning |
Self-paced, instructor-guided |
Course Fee |
Varies (subscription-based) |
Trainer |
University of Colorado faculty |
Students Enrolled |
90,000+ |
Skill Gained |
Data warehousing, ETL, BI systems |
Total Review |
10,000+ reviews |
Why Choose This Course
- Industry-recognized specialization.
- Covers data warehousing end-to-end.
- Offers practical projects with real-world data sets.
- Strong focus on business decision-making support.
Course 3: Business Analytics (Udacity)
The Business Analytics Nanodegree from Udacity helps you become proficient in SQL and Excel for data analysis. It covers key business analytics tools. You will learn from industry experts and complete hands-on projects, ideal for business analysts looking to enhance their skills.
Course Highlights
Course Name |
Business Analytics Nanodegree |
Duration |
3 months (at 10 hours/week) |
Provider |
Udacity |
Mode of Learning |
Self-paced |
Course Fee |
$399 per month |
Trainer |
Industry experts |
Students Enrolled |
Thousands |
Skill Gained |
SQL, Excel, Tableau, data-driven decision-making |
Total Review |
4,000+ reviews |
Why Choose This Course
- Focus on real-world projects.
- Gain proficiency in SQL and business tools.
- Taught by top-tier industry experts.
- Career-focused curriculum with job placement support.
Course 4: Excel to MySQL: Analytic Techniques for Business Specialization
Hosted by Duke University on Coursera, this specialization teaches business analysts to use both Excel and MySQL for analytics. It includes predictive modeling and prescriptive analytics techniques to derive insights from databases.
Course Highlights
Course Name |
Excel to MySQL: Analytic Techniques for Business Specialization |
Duration |
5 months |
Provider |
Coursera (Duke University) |
Mode of Learning |
Self-paced, instructor-led |
Course Fee |
Varies (subscription-based) |
Trainer |
Duke University faculty |
Students Enrolled |
160,000+ |
Skill Gained |
SQL, Excel, business analytics |
Total Review |
15,000+ reviews |
Why Choose This Course
- Dual-focus on Excel and MySQL.
- Industry-grade analytics skills.
- Course designed by a leading university.
- In-depth understanding of predictive and prescriptive analytics.
Course 5: SQL Certification Course (Simplilearn)
Simplilearn’s SQL Certification Course provides a deep dive into SQL concepts, ideal for database and business analysts. You'll learn how to write complex SQL queries and handle large datasets, offering essential skills for extracting actionable business insights.
Course Highlights
Course Name |
SQL Certification Course |
Duration |
25 hours |
Provider |
Simplilearn |
Mode of Learning |
Self-paced |
Course Fee |
$199 |
Trainer |
Industry professionals |
Students Enrolled |
Thousands |
Skill Gained |
SQL querying, data analysis, business insights |
Total Review |
500+ reviews |
Why Choose This Course
- Industry-recognized certification.
- Comprehensive SQL skills for data professionals.
- Covers complex database querying.
- Practical projects for real-world experience.
Vikram has a Postgraduate degree in Applied Mathematics, with a keen interest in Data Science and Machine Learning. He has experience of 2+ years in content creation in Mathematics, Statistics, Data Science, and Mac... Read Full Bio