Python for Everybody Specialization
Šis kurss dos iespēju iepazīt Python programmēšanas konceptus, tai skaitā datu struktūras un datubāžu veidošanu, kā arī citus pamatelementus. Jums būs iespēja, izmantojot kursa ietvaros gūtās zināšanas, lai dizainētu un veidotu pašiem savus risinājumus datu analīzes un vizualizācijas iespējas.
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8 mēnešu kurss
Nepieciešami 8 mēneši – 2 stundas nedēļā, lai pabeigtu kursu
subtitri – angļu, ķīniešu, vācu un korejiešu valodā
Šajā specializācijā ir 5 kursi
Programming for Everybody (Getting Started with Python)
Python Data Structures
Using Python to Access Web Data
Using Databases with Python
Capstone: Retrieving, Processing, and Visualizing Data with Python
- Python Programming
- Database (DBMS)
- Python Syntax And Semantics
- Basic Programming Language
- Computer Programming
- Data Structure
- Web Scraping
Pabeidzot katru kursu un izpildot praktisko projektu, jūs iegūstat sertifikātu. Sertifikāts ir printējams, kā arī jūs varat dalīties ar saviem kursu sertifikātiem sava LinkedIn profila sadaļā Sertifikācijas. “Shareable on Linkedin”
University of Michigan
Charles Russell Severance
Coursera - FAQ
If you subscribed, you get a 7-day free trial during which you can cancel at no penalty. After that, we don’t give refunds, but you can cancel your subscription at any time.
Yes! To get started, click the course card that interests you and enroll. You can enroll and complete the course to earn a shareable certificate, or you can audit it to view the course materials for free. When you subscribe to a course that is part of a Specialization, you’re automatically subscribed to the full Specialization. Visit your learner dashboard to track your progress.
Yes, Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the “Enroll” button on the left. You’ll be prompted to complete an application and will be notified if you are approved. You’ll need to complete this step for each course in the Specialization, including the Capstone Project.
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. If you only want to read and view the course content, you can audit the course for free. If you cannot afford the fee, you can apply for financial aid.
This course is completely online, so there’s no need to show up to a classroom in person. You can access your lectures, readings and assignments anytime and anywhere via the web or your mobile device.
This Specialization doesn’t carry university credit, but some universities may choose to accept Specialization Certificates for credit. Check with your institution to learn more.
Time to completion can vary based on your schedule and experience level, but most learners are able to complete the Specialization in about 8 months.
Each course in the Specialization is offered on a regular schedule, with sessions starting about once per month. If you don’t complete a course on the first try, you can easily transfer to the next session, and your completed work and grades will carry over. The Capstone Project will be offered three times per year.
This Specialization is designed to serve as an on-ramp for programming, and has no pre-requisites. The pace of the first two courses is aimed at those with no programming experience at all.
You can pay for the entire Specialization upfront, or pay individually for each course as you progress. Financial aid is available for learners who qualify.
We recommend taking the courses in the order presented, as each subsequent course will build on material from previous courses.
Coursera courses and certificates don’t carry university credit, though some universities may choose to accept Specialization Certificates for credit. Check with your institution to learn more.
If you are new to programming, this Specialization will prepare you to take other courses and develop advanced skills. Recommended follow-up courses include Johns Hopkins University’s Data Science Specialization and the University of Michigan’s Web Design Specialization. If you have some prior experience in data analysis, this Specialization is an excellent way to add Python skills to your repertoire.
If you previously earned a verified Course Certificate for the Programming for Everybody (Python) course, you will automatically receive credit for completing courses 1 and 2 in the Specialization. You may begin with the third course of the Specialization, and you will receive a Specialization Certificate upon successful completion of courses 3 and 4 and the Capstone Project. However, if you earned an unverified Statement of Accomplishment, you will need to earn Course Certificates in all four courses, and successfully complete the Capstone Project.