Data Query with Transact-SQL with Python
Explore the Transact-SQL language and its features by enrolling for the course on Data Query with Transact-SQL with ...Read more
Online
4 Weeks
Quick Facts
particular | details | ||||
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Medium of instructions
English
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Mode of learning
Self study
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Mode of Delivery
Video and Text Based
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Learning efforts
5 Hours Per Week
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Course overview
The online course on Data Query with Transact-SQL with Python by Future Learn has been designed by industry professionals. The course will be held entirely on the online platform and will cover the various aspects of Transact-SQL over four weeks. The Data Query with Transact-SQL with Python certification syllabus and module is a part of the Data Science on Microsoft Azure Using Python Programming ExpertTrack. During the course, students will work on real-world modules and applications. The Data Query with Transact-SQL with Python certification benefits the students by providing them with a blended learning model. In this self-paced course, students will also get to access the demonstrations, practical labs, and assignments. After completing the online course, students will get the practical knowledge of Microsoft Azure strengthened. The students in the class will also be covering the chapters of- Error Handling and Transactions, Using Subqueries and APPLY, Using Set Operators, Using Table Expressions, Using Functions and Aggregating Data, and others.
The highlights
- Course duration 4 weeks
- 100% online course
- A weekly study period of 5 hours
- 7 days trial period available
- Learn at your own pace
- The course included in Expert track course 2 of 5
- Course developed by CloudSwyft Global Systems, Inc.
- Certificate of completion available
Program offerings
- Online course
- Video lectures
- Audio
- Short-form articles
- Videos
- Interactive discussions
Course and certificate fees
The Data Query with Transact-SQL with Python fee details have been listed below:
- The applying candidates have to pay INR 900 per month during the course
- A seven-day free trial period is also made available to the students
Data Query with Transact-SQL with Python fee details
Particulars | Amount in INR |
Fee | INR 900 per month |
Trial | 7 days free trial |
certificate availability
Yes
certificate providing authority
Futurelearn
Who it is for
The Data Query with Transact-SQL with Python certification is recommended to the following candidates:
- The students who are aspiring to be database professionals can apply for the online course
- Application developers
- Candidates preparing for SQL Certification server exams
Eligibility criteria
Certification Qualification Details
After completion of the Data Query with Transact-SQL with Python training, students will be provided with a certificate that will be issued by Future Learn. To get the certificate, the students have to complete 90% of their course steps and assessments.
What you will learn
Upon completing the course, students will learn about the following topics in the Data Query with Transact-SQL with Python training-
- The applicants will be studying error handling
- Students will be developing Transact-SQL SELECT queries
- Candidates can engage in aggregate data and functions
- Students will be engaging with NULL, and data types
- Leaners will learn to make JOIN related to query multiple tables
The syllabus
Introduction to Transact-SQL
Querying Tables with SELECT
Querying Multiple Tables with JOIN
Using Set Operators
Using Functions and Aggregating Data
Using Subqueries and APPLY
Using Table Expressions
Grouping Sets and Pivoting Data
Modifying Data
Programming with Transact-SQL
Error Handling and Transactions
Admission details
To get registered in the Data Query with Transact-SQL with Python online course, students have to follow the steps that have been provided below:
Step 1: The students in the first place have to visit the provided URL to get access to the application form-https://www.futurelearn.com/courses/querying-data-with-transact-sql-et2
Step 2: The students then have to click on the button “Start Free Trial.”
Step 3: The students who have an existing account can easily sign in to their account by providing their email and passwords. The applicants who are not registered can create a new account through their Google and Facebook accounts.
Step 4: Upon creating the account, applicants can proceed further by paying the course fee.
Step 5: Once the course fee is paid, candidates will be able to access the programme.
Filling the form
To apply in the Data Query with Transact-SQL with Python certification programme, students are requested to provide the following details:
- Email address
- Password
The students who do not have an existing account need to register in the platform of FutureLearn by signing through Facebook, Google, or through their organization.
How it helps
The Data Query with Transact-SQL with Python certification benefits the students by providing them with a certificate issued by the platform of FutureLearn. The applicants’ certificates will be globally accepted and can be shared by the students across various professional mediums. Upon completing the Data Query with Transact-SQL with Python online course, the students will have their skills enhanced, and knowledge strengthened, which will help them procure jobs and better career opportunities.
FAQs
By whom is the certificate offered?
The certificate for the Data Query with Transact-SQL with Python programme is offered by the platform of FutureLearn.
What is the total duration of the course?
The duration of the Data Query with Transact-SQL with Python certification course is four weeks.
Can the students access the free trial for the Data Query with Transact-SQL with Python programme?
Yes, all the applying candidates can access a seven-day free trial.
How can the students access the course syllabus?
The students can view the Data Query with Transact-SQL with Python certification syllabus from the website of FutureLearn.
Will the students be assisted with placement in the Data Query with Transact-SQL with Python certification course?
No, students will not be assisted with placement.