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Posted in SQL
Close Updated 07 Jan, 2022
Introduction
The database is the center of each minutes, and SQL is the most popular language for interacting with the database. Learning SQL leave help you in some ways throughout your career, and if you are learning on your own or on with projects, you may leave some concepts which are not used in your particular project but are important otherwise. Some certifications hand you a proper method acting to memorize and by and by awarding you with the certificate while others test your cognition and honour you for excellence. Since you learn from experts, you will go practical knowledge and tricks to effectively use SQL for the incomparable performance and less execution time.
Grandness of SQL Certification
SQL certification will pay you an butt against over other candidates WHO have the same skills and experience as yours. Of course, have and subject field knowledge are influential, simply certifications become the deciding factor when candidates with similar profiles have to embody filtered. In that respect are different certifications, and settled on the pose you are applying and the experience you have, you should take up the certifications one by one. Certifications can also help you get meliorate projects and roles in your company. If you have changed teams in the Saami company, certifications facilitate your new team up understand your specialization and center 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 single organizations; however, we have chosen the most rough-and-ready ones that are recognized by well-nig big companies and will make you industry-ready:
1. SQL - MySQL for Information Analytics and Business Tidings
Through this Udemy course, you can become an SQL practiced for data and business analytics. The course covers MySQL in-depth and starts from rudiments then moves to advanced SQL topics. Information technology also has much of exercises to perfect your knowledge.
Details
| Fashion of learning | Online |
| Level | Beginner to advanced |
| Duration | lifetime access, self-learning with 9.5 hours of happening-require video, 154 articles, 95 downloadable resources |
| Language | English with subtitles in English, Italian, Fine-tune, 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 quill identify, foreign key out, unequalled tonality, null values.
- Installing MySQL: customer-server model, setting up a connection, MySQL interface.
- First base steps in SQL: SQL files, creating a database, introduction to data types, fixed and afloat information types, table creating, using the database, and tables.
- MySQL constraints: Primary key constraints, Established key constraints, Unique key constraint, NOT NULL
- SQL Best practices.
- SQL Select, Insert, Update, Delete, Aggregated functions, joins, subqueries, views, Stored routines.
- Sophisticated SQL Topics: Types of MySQL variables, session, and global variables, triggers, user-defined system variables, the CASE statement.
- Combination SQL and Tableau.
2. Learn SQL Basics for Data Science Specialism
This is a specialization trend that aims to apply entirely SQL concepts ill-used for information scientific discipline much. The best course of study of the specialization is a basic course that will enable you with all the SQL knowledge you will indigence for the rest of the courses. There are quadruplet courses:
- SQL for Data Science.
- Information Wrangling, Analysis, and AB Testing with SQL.
- Sparse Computing with Spark SQL.
- SQL for Data Science Capstone Project.
Row Details
| mode of learning | Online |
| Level | Beginner |
| Length | Four months (with 5 hours/week) |
| Language | English with English language subtitles |
| Price | Coursera monthly subscription |
Course Syllabus
1. SQL for Information Science (14 hours)
- Origination, selecting, and fetching data victimization SQL.
- Filtering, Classification, and Calculating Data with SQL.
- Subqueries and Joins in SQL.
- Modifying and Analyzing Data with SQL.
2. Information Wrangling, Analysis, and AB Examination with SQL
- Data of Unknown Quality.
- Creating Scrubbed Datasets.
- SQL Problem Solving.
- Case Study: AB Examination.
3. Distributed Computing with Spark SQL
- Introduction to Spark.
- Electric arc Core Concepts.
- Engineering Data Pipelines.
- Machine Encyclopedism Applications of Spark.
4. SQL for Data Science Capstone Contrive
- Project Marriage proposal and Data Selection/Preparation.
- Synchronous Stats & Understanding Your Data.
- Beyond Synchronous Stats (Dive Deeper/Go Broader).
- Presenting Your Findings (Storytelling).
3. Database Foundation (1Z0-006)
This oracle academy is wholesome and career-centered, using industry-relevant technologies. The database program consists of 4 courses:
- Database foundations.
- Database Design and Programming with SQL.
- Scheduling with PL/SQL.
- Application program Express Development foundations.
You can collapse the certificate exam with or without taking upwardly the courses. Oracle recommends doing these courses.
Examination Details
| Title | Oracle Database Foundations |
| Duration | 150 minutes |
| Figure of questions | 75 |
| Pass percentage | 60% |
| Format | Multiple choice |
| Price | $95 |
| Pre-requisites | No |
Exam Syllabus
- Database Concepts.
- Relational Database Concepts.
- Gathering Requirements for Database Design.
- Victimization Abstract Data Modelling.
- Types of Databases Models.
- Shaping Levels of Data Abstractedness.
- The Spoken communication of Database and Information modeling.
- Defining Instance and Schema in Relational Databases.
- Data mould – Creating the Physical Model.
- Using Unique Identifiers, Primary and Extrinsic Keys.
- Defining Supertype and Subtype Entity Relationships.
- Resolution Many to Numerous Relationships and Composite Specific Identifiers.
- Documenting Business concern Requirements and Rules.
- Trailing Information Changes Over Time.
- Using Attributes.
- Validating Data Using Normalisatio.
- Map the Physical Model.
- Mapping Primary, Composite plant Direct, and Exotic Keys.
- Distinguishing Relationships.
- Introduction to SQL.
- Using Information Manipulation Spoken language (DML) and Transaction Curb Language (TCL).
- Exploitation Data Definition Linguistic process (DDL).
- Defining and using Basic Select statements.
- Defining Table Joins.
- Identifying Hierarchical, Recursive, and Curve Relationships.
- Displaying Sorted Information.
4. Excel to MySQL: Analytic Techniques for Business Specialism
This is a Speciality from Coursera that aims to touch upon SQL from a byplay viewpoint. If you aim to get into data scientific discipline Oregon related fields, this will be a good course. Along with SQL, you will as wel gain skills ilk Microsoft Excel, Business Analytics, information science tools, and algorithms and Sir Thomas More around business processes. There are v courses in this specialization:
- Business Metrics for Data-Driven Companies.
- Mastering Information Analysis in Stand out.
- Information Visual image and Communication with Tableau.
- Managing Big Data with MySQL.
- Increasing Real Estate Direction Profits: Harnessing Data Analytics.
Details
| Mode of learning | Online |
| Level | Founder |
| Duration | 7 months (with 4 hours/week) |
| Language | English with subtitles in English, Arabic language, Chinese, Spanish, Russian, etc. |
| Price | Coursera monthly subscription |
| Certification | yes, shareable on LinkedIn |
Syllabus
- Concern Metrics for Data-Unvoluntary Companies (8 hours): Foundation to business prosody, business analytics mart, applying byplay metrics to the business case study.
- Mastering Data Analysis in Excel (21 hours): Excel essentials, positional notation assortment, information measures, linear regression, pattern building.
- Information Visualization and Communicating with Tableau vivant (25 hours): Tableau, visualizations, logic, undertaking.
- Managing Big Data with MySQL (41 hours): relative databases, queries for a single table, group data, addressing complex data through queries.
- Increasing Realty Management Profits: Harnessing Data Analytics (23 hours): Data extraction and Visualization, modeling, cash flow, and profits, data dashboard.
5. Learning SQL Programming
This LinkedIn course is for beginners and covers all the important aspects of SQL. The course also includes many exercise files for recitation. Since it is a popular course, common doubts and problems are addressed away the wide-cut and existing meeting place. After completion, you will besides equal able to sympathise how to do operation tuning and the best approaches for database querying, on with all the core concepts like joins, aggregates, pick out, etcetera.
Inside information
| Way of learning | Online |
| Level | Beginner |
| Duration | lifetime access, self-learning with 1 hour 27 proceedings of on-necessitate video, 5-chapter quizzes |
| Language | English |
| Price | Monthly subscription |
| Exam certification | LinkedIn Learning Credentials Home Association of State Boards of Accountancy (NASBA) |
| Pre-requisites | None |
| Token passing score | 70% |
Curriculu
- Select data from the database.
- Understanding Joint types.
- Data types, Maths, and helpful functions: Compound take, transform information, using aliases to shorten field names.
- Add or change data.
- Overcoming common SQL mistakes.
You can signup here.
6. Modern Big data analysis with SQL specialization
This is a founding father level course where you can learn SQL and also get a line how to apply the cognition for using big information for analytics. This specialization has three courses:
- Foundations for Monstrous Data Analysis with SQL.
- Analyzing Big Information with SQL.
- Managing Big Data in Clusters and Cloud Storage.
Details
| Mode of scholarship | Online |
| Level | Initiate |
| Duration | Approx. 4 months with 3 hours/workweek |
| Words | West Germanic with subtitles in French, Portuguese (Brazilian), Russian, Spanish |
| Price | Monthly subscription |
| Pre-requisites | None |
Syllabus
- Foundations for Generous Information Analysis with SQL (12 hours): data and database, relational databases and SQL, Medium-large data, SQL tools for big data analysis.
- Analyzing Jumbo Data with SQL (17 hours): SQL select, filtering data, group, and aggregating data.
- Managing Big Data in Clusters and Cloud Storage (21 hours): Information in clusters and overcast entrepot, defining database tables, columns, information types, and register types, managing datasets in clusters and cloud storage, Hive and Impala.
7. Analyze Data with SQL
This is a basic course from Codecademy that is multipurpose for everyone, be IT a marketer or analyst. If you deliver no prior scheduling 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 | Half-dozen weeks |
| Language | English |
| Toll | Time unit subscription |
| Pre-requisites | No |
Syllabus
- SQL fundamentals.
- Data querying.
- Calculate and summarize information.
- Joins.
- Analyze real data with SQL.
- Active projects: Calculating churn rates, RPA customer cleavage, RPA fraud spying.
8. Front SQL for Data Scientists
This is a popular course and teaches basic and civilised aspects of SQL filtering and information handling. The course is designed to focus along SQL's demands for data scientists and covers SQL's essentials from a data scientist's perspective.
Inside information
| Mode of learning | Online |
| Level | Beginner |
| Continuance | 1 hour 24 minutes, one fancy file, 5 chapter quizzes |
| Language | English |
| Price | Each month subscription |
| Pre-requisites | None |
Syllabus
- SQL is a instrument for data science.
- Basic statistics with SQL.
- Information munging with SQL.
- Filtering joins aggregation.
- Window functions and logical data.
- Preparing information for analytics tools.
You can sign up present.
9. Ultimate MySQL Bootcamp: Udemy
This Udemy course starts with the basics of MySQL and goes up to precept some advanced concepts. The course provides a plenty of exercises. IT is up to you to take the course at the rush along that you deprivation to.
Course Details
| Content | Along-demand videos of 20 hours, four downloadable resources, and 141 articles |
| Access | Lifespan access; self-paced learning |
| Obligatory | None |
| Language | English with subtitles in English, Italian, Asian country, Polish, French, German, etc |
| Price | Rs.365 |
| Level | Basic |
Course Course of study
- SQL overview and installation: SQL vs MySQL, installation on Windows and Mac
- Creating database and tables: Prorogue create and drop, basic information types
- Information insertion, Void, NOT NULL, Primary keys, table constraints
- CRUD commands: SELECT, UPDATE, DELETE, challenge exercises
- String functions: concat, substring, replace, reverse, blacken length, upper and lower
- Using distinct, order by, limit, suchlike, wildcards
- Aggregate functions: count, radical by, min, Georgia home boy, 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, 'tween, not in, in, suit statements
- Incomparable to many: Joins, foreign keys, cross join, inner join, left sum, right join, Many to more
- Instagram data clone: Instagram Clone Schema, Users Schema, likes, comments, photos, hashtags, complete schema
- Working with lots of Fully grown data: Big 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, copulative the form
- Database triggers: writing triggers, Preventing Instagram Individual-Follows With Triggers, creating logger triggers, Managing Triggers, And A Exemplary
Conclusion
MySQL and Microsoft SQL are the all but popular database platforms. SQL is easy to larn and extremely important, both for web applications and data science projects. There are many NoSQL databases, but SQL has deep acceptance and is used in most overlarge 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. Almost of the list certifications are for basic and liaise level developers, covering about of the SQL you leave need for most practical purposes.
Let us know if you need more information on whatever of the certifications.
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Ramya Shankar
A cheerful, full of life and colourful person, I hold very much of dreams that I privation to fulfill connected my have. My passion for penning started with small journal entries and travel blogs, aft which I wealthy person moved happening to writing asymptomatic-researched technical happy. I find it fascinating to commingle thoughts and inquiry and physical body them into something beautiful through my writing. See all posts by the Author
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