Izvēlne Aizvērt

Datu zinātne

Data Science Specialization

Šajā kursā jums būs iespēja apgūt datu analītikas pamatus, sākot no pareizo jautājumu definēšanas, to korektas izmantošanas un interpretācijas, kā arī rezultātu atainošanu. Šī kursa ietvaros jums būs iespēja apgūt dažādus programmatūras risinājumus, kas ļauj veikt operācijas ar datiem un tos izmantot lēmumu pieņemšanai.

€45/mēnesī

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11 mēneši

Kursa apgūšanai nepieciešami 11 mēneši – 7 stundas nedēļā.

Valoda

angļu valodā
subtitri – angļu, franču, ķīniešu, portugāļu, vjetnamiešu, spāņu, japāņu un krievu valodā

Kursa mācību plāns

1. KURSS

The Data Scientist’s Toolbox

13 H

2. KURSS

R Programming

58 H

3. KURSS

Getting and Cleaning Data

19 H

4. KURSS

Exploratory Data Analysis

56 H

5. KURSS

Reproducible Research

9 H

6. KURSS

Statistical Inference

54 H

7. KURSS

Regression Models

54 H

8. KURSS

Practical Machine Learning

8 H

9. KURSS

Developing Data Products

12 H

10. KURSS

Data Science Capstone

7 H

  • Github
  • Machine Learning
  • R Programming
  • Regression Analysis
  • Data Science
  • Rstudio
  • Data Analysis
  • Debugging
  • Data Manipulation
  • Regular Expression (REGEX)
  • Data Cleansing
  • Cluster Analysis

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”

  • Johns Hopkins University

Jeff Leek, PhD

Associate Professor, Biostatistics

Roger D. Peng, PhD

Associate Professor, Biostatistics

Brian Caffo, PhD

Professor, Biostatistics

Coursera - FAQ

Once you enroll for a Certificate, you’ll have access to all videos, quizzes, and programming assignments (if applicable). Peer review assignments can only be submitted and reviewed once your session has begun. If you choose to explore the course without purchasing, you may not be able to access certain assignments.

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. Your electronic Certificate will be added to your Accomplishments page – from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.

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, 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.

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