9 Best SQL Certifications to boost your Career in 2020

Posted in SQL
9 Best SQL Certifications to boost your Career in 2020

Introduction

The database is the center of all transactions, and SQL is the most popular language for interacting with the database. Learning SQL will help you in many ways throughout your career, and if you are learning on your own or along with projects, you may leave some concepts which are not used in your particular project but are important otherwise. Certifications give you a proper method to learn. Since you learn from experts, you will get practical knowledge and tricks to effectively use SQL for best performance and less time of execution.

Importance of SQL Certification

SQL certification will give you an edge over other candidates who have the same skills and experience as you. Of course, experience and technical knowledge are important, but certifications become the deciding factor when candidates with similar profiles have to be filtered. There are different certifications, and based on the position you are applying and the experience you have, you should take up the certifications one by one. Certifications can also help you get better projects and roles in your company. If you have changed teams in the same company, certifications help your new team understand your specialization and core skills. Being certified indicates that you are a pro in that particular language or technology.

Best SQL Certifications

There are many courses and certifications by various organizations; however, we have chosen the most effective ones that are recognized by most big companies and will make you industry-ready:

1. Ultimate MySQL Bootcamp: UdemyThe Ultimate MySQL Bootcamp: Go from SQL Beginner to Expert

This Udemy course starts with the basics of MySQL and goes up to teaching some advanced concepts. The course provides a lot of exercises. It is up to you to take the course at the speed that you want to.

Course Details

Content On-demand videos of 20 hours, four downloadable resources, and 141 articles
Access Lifetime access; self-paced learning
Prerequisite None
Language English with subtitles in English, Italian, Japanese, Polish, French, German, etc
Price Rs.365
Level Basic

Course Syllabus

  • SQL overview and installation: SQL vs. MySQL, installation on Windows and Mac
  • Creating database and tables: Table create and drop, basic data types
  • Data insertion, NULL, NOT NULL, Primary keys, table constraints
  • CRUD commands: SELECT, UPDATE, DELETE, challenge exercises
  • String functions: concat, substring, replace, reverse, char length, upper and lower
  • Using distinct, order by, limit, like, wildcards
  • Aggregate functions: count, group by, min, max, sum, avg
  • Data Types in detail: char, varchar, decimal, float, double, date, time, datetime, now, curdate, curtime, timestamps
  • Logical operators: not equal, not like, greater than, less than, AND, OR, between, not in, in, case statements
  • One to many: Joins, foreign keys, cross join, inner join, left join, right join, Many to many
  • Instagram data clone: Instagram Clone Schema, Users Schema, likes, comments, photos, hashtags, complete schema
  • Working with lots of BIG data: JUMBO dataset, exercises
  • Introducing Node: Crash course on Node.js, npm, MySQL, and other languages
  • Building a web app: setting up, connecting Express and MySQL, adding EJS templates, connecting the form
  • Database triggers: writing triggers, Preventing Instagram Self-Follows With Triggers, creating logger triggers, Managing Triggers, And A Warning

2. Learn SQL Basics for Data Science Specialization

Learn SQL Basics for Data Science SpecializationThis is a specialization course that aims to apply all SQL concepts used for data science practically. The first course of the specialization is a basic course that will enable you with all the SQL knowledge you will need for the rest of the courses. There are four courses:

  1. SQL for Data Science.
  2. Data Wrangling, Analysis, and AB Testing with SQL.
  3. Distributed Computing with Spark SQL.
  4. SQL for Data Science Capstone Project.

Course Details

mode of learning Online
Level Beginner
Duration Four months (with 5 hours/week)
Language English with English subtitles
Price Coursera monthly subscription

Course Syllabus

1. SQL for Data Science (14 hours)

  • Introduction, selecting, and fetching data using SQL.
  • Filtering, Sorting, and Calculating Data with SQL.
  • Subqueries and Joins in SQL.
  • Modifying and Analyzing Data with SQL.

2. Data Wrangling, Analysis, and AB Testing with SQL

  • Data of Unknown Quality.
  • Creating Clean Datasets.
  • SQL Problem Solving.
  • Case Study: AB Testing.

3. Distributed Computing with Spark SQL

  • Introduction to Spark.
  • Spark Core Concepts.
  • Engineering Data Pipelines.
  • Machine Learning Applications of Spark.

4. SQL for Data Science Capstone Project

  • Project Proposal and Data Selection/Preparation.
  • Descriptive Stats & Understanding Your Data.
  • Beyond Descriptive Stats (Dive Deeper/Go Broader).
  • Presenting Your Findings (Storytelling).

3. Database Foundation (1Z0-006)

Oracle Database FoundationsThis oracle academy is wholesome and career-focused, using industry-relevant technologies. The database curriculum consists of 4 courses:

  1. Database foundations.
  2. Database Design and Programming with SQL.
  3. Programming with PL/SQL.
  4. Application Express Development foundations.

You can give the certification exam with or without taking up the courses. Oracle recommends doing these courses.

Exam Details

Title Oracle Database Foundations
Duration 150 minutes
Number of questions 75
Pass percentage 60%
Format Multiple choice
Price Rs.7188
Pre-requisites None

Exam Syllabus

  • Database Concepts.
  • Relational Database Concepts.
  • Gathering Requirements for Database Design.
  • Using Conceptual Data Modelling.
  • Types of Databases Models.
  • Defining Levels of Data Abstraction.
  • The Language of Database and Data modeling.
  • Defining Instance and Schema in Relational Databases.
  • Data modeling – Creating the Physical Model.
  • Using Unique Identifiers, Primary and Foreign Keys.
  • Defining Supertype and Subtype Entity Relationships.
  • Resolving Many to Many Relationships and Composite Unique Identifiers.
  • Documenting Business Requirements and Rules.
  • Tracking Data Changes Over Time.
  • Using Attributes.
  • Validating Data Using Normalization.
  • Mapping the Physical Model.
  • Mapping Primary, Composite Primary, and Foreign Keys.
  • Identifying Relationships.
  • Introduction to SQL.
  • Using Data Manipulation Language (DML) and Transaction Control Language (TCL).
  • Using Data Definition Language (DDL).
  • Defining and using Basic Select statements.
  • Defining Table Joins.
  • Identifying Hierarchical, Recursive, and Arc Relationships.
  • Displaying Sorted Data.

4. Excel to MySQL: Analytic Techniques for Business Specialization

Excel to MySQL: Analytic Techniques for Business SpecializationThis is a Specialization from Coursera that aims to touch upon SQL from a business point of view. If you aim to get into data science or related fields, this will be a good course. Along with SQL, you will also gain skills like Microsoft Excel, Business Analytics, data science tools, and algorithms and more about business processes. There are five courses in this specialization:

  • Business Metrics for Data-Driven Companies.
  • Mastering Data Analysis in Excel.
  • Data Visualization and Communication with Tableau.
  • Managing Big Data with MySQL.
  • Increasing Real Estate Management Profits: Harnessing Data Analytics.

Details

Mode of learning Online
Level Beginner
Duration Seven months (with 4 hours/week)
Language English with subtitles in English, Arabic, Chinese, Spanish, Russian, etc.
Price Coursera monthly subscription
Certification yes, shareable on LinkedIn

Syllabus

  1. Business Metrics for Data-Driven Companies (8 hours): Introduction to business metrics, business analytics marketplace, applying business metrics to the business case study.
  2. Mastering Data Analysis in Excel (21 hours): Excel essentials, binary classification, information measures, linear regression, model building.
  3. Data Visualization and Communication with Tableau (25 hours): Tableau, visualizations, logic, project.
  4. Managing Big Data with MySQL (41 hours): relational databases, queries for a single table, group data, addressing complex data through queries.
  5. Increasing Real Estate Management Profits: Harnessing Data Analytics (23 hours): Data extraction and Visualization, modeling, cash flow, and profits, data dashboard.

5. MySQL for Data Analytics and BI

SQL - MySQL for Data Analytics and Business IntelligenceThrough this Udemy course, you can become an SQL expert for data and business analytics. The course covers MySQL in-depth and starts from basics then moves to advanced SQL topics. It also has a lot of exercises to perfect your knowledge.

Details

Mode of learning Online
Level Beginner to advanced
Duration lifetime access, self-learning with 9.5 hours of on-demand video, 154 articles, 95 downloadable resources
Language English with subtitles in English, Italian, Polish, Spanish, Romanian, etc.
Price Rs.700
Pre-requisites None

Syllabus

  • Introduction to databases, SQL, and MySQL.
  • SQL theory: SQL as a declarative language, DDL, keywords, DML, DCL, TCL.
  • Basic terminologies: Relational database, primary key, foreign key, unique key, null values.
  • Installing MySQL: client-server model, setting up a connection, MySQL interface.
  • First steps in SQL: SQL files, creating a database, introduction to data types, fixed and floating data types, table creating, using the database, and tables.
  • MySQL constraints: Primary key constraints, Foreign key constraints, Unique key constraint, NOT NULL
  • SQL Best practices.
  • SQL Select, Insert, Update, Delete, Aggregate functions, joins, subqueries, views, Stored routines.
  • Advanced SQL Topics: Types of MySQL variables, session, and global variables, triggers, user-defined system variables, the CASE statement.
  • Combining SQL and Tableau.

6. Learning SQL Programming

Learning SQL ProgrammingThis LinkedIn course is for beginners and covers all the important aspects of SQL. The course also includes many exercise files for practice. Since it is a popular course, common doubts and problems are addressed by the wide and active forum. After completion, you will also be able to understand how to do performance tuning and the best approaches for database querying, along with all the core concepts like joins, aggregates, select, and so on.

Details

Mode of learning Online
Level Beginner
Duration lifetime access, self-learning with 1 hour 27 minutes of on-demand video, 5-chapter quizzes
Language English
Price Monthly subscription
Exam certification LinkedIn Learning Certificate National Association of State Boards of Accountancy (NASBA)
Pre-requisites None
Minimum passing score 70%

Syllabus

  • Select data from the database.
  • Understanding JOIN types.
  • Data types, Maths, and helpful functions: Compound select, transform data, using aliases to shorten field names.
  • Add or modify data.
  • Overcoming common SQL mistakes.

7. Modern Big data analysis with SQL specialization

Modern Big Data Analysis with SQL SpecializationThis is a beginner level course where you can learn SQL and also learn how to apply the knowledge for using big data for analytics. This specialization has three courses:

  • Foundations for Big Data Analysis with SQL.
  • Analyzing Big Data with SQL.
  • Managing Big Data in Clusters and Cloud Storage.

Details

Mode of learning Online
Level Beginner
Duration Approx. 4 months with 3 hours/week
Language English with subtitles in French, Portuguese (Brazilian), Russian, Spanish
Price Monthly subscription
Pre-requisites None

Syllabus

  • Foundations for Big Data Analysis with SQL (12 hours): data and database, relational databases and SQL, Big data, SQL tools for big data analysis.
  • Analyzing Big Data with SQL (17 hours): SQL select, filtering data, grouping, and aggregating data.
  • Managing Big Data in Clusters and Cloud Storage (21 hours): Data in clusters and cloud storage, defining database tables, columns, data types, and file types, managing datasets in clusters and cloud storage, Hive and Impala.

8. Analyze Data with SQL

Analyze data with SQLThis is a basic course from Codecademy that is useful for everyone, be it a marketer or analyst. If you have no prior programming knowledge and want to step into technical roles and work with data, this is a good course to start.

Details

Mode of learning Online
Level Beginner
Duration Six weeks
Language English
Price Monthly subscription
Pre-requisites None

Syllabus

  • SQL basics.
  • Data querying.
  • Calculate and summarize data.
  • Joins.
  • Analyze real data with SQL.
  • Hands-on projects: Calculating churn rates, RPA customer segmentation, RPA fraud detection.

9. Advanced SQL for Data Scientists

Advanced SQL for Data ScientistsThis is a popular course and teaches basic and advanced aspects of SQL filtering and data manipulation. The course is designed to focus on SQL's demands for data scientists and covers SQL's essentials from a data scientist's perspective.

Details

Mode of learning Online
Level Beginner
Duration 1 hour 24 minutes, one project file, 5 chapter quizzes
Language English
Price Monthly subscription
Pre-requisites None

Syllabus

  • SQL is a tool for data science.
  • Basic statistics with SQL.
  • Data munging with SQL.
  • Filtering joins aggregation.
  • Window functions and ordered data.
  • Preparing data for analytics tools.

Conclusion

MySQL and Microsoft SQL are the most popular database platforms. SQL is easy to learn and extremely important, both for web applications and data science projects. There are many NoSQL databases, but SQL has wide acceptance and is used in most big projects. With certifications in hand, you can gain exposure to many practical projects and add the same to your profile, which will help you in the long run. Most of the list certifications are for basic and intermediate level developers, covering most of the SQL you will need for most practical purposes.

Let us know if you need more information on any of the certifications.

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Ramya Shankar

Ramya Shankar

A cheerful, full of life and vibrant person, I hold a lot of dreams that I want to fulfill on my own. My passion for writing started with small diary entries and travel blogs, after which I have moved on to writing well-researched technical content. I find it fascinating to blend thoughts and research and shape them into something beautiful through my writing. View all posts by the Author

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