Last Update: 4/2022
Duration: 2h 24m | Video: .MP4, 1280×720 30 fps | Audio: AAC, 48 kHz, 2ch | Size: 1.01 GB
Genre: eLearning | Language: English
Master Data Science | A Step-by-Step Guide for 2022 | Practice your skills with 200 (MCQs) Multiple Choice Questions.
What you’ll learn:
List the important Data Mining techniques and popular Data Science tools.
Recount the advantages and disadvantages of Data Science.
Perceive the application of Data Science examples in real life.
Ideate a project work for practicing Data Science.
Choose from the wide range of career options available in Data Science.
Requirements
No prior knowledge of Data Science is required.
Description
Welcome to the most in-demand course to Master Data Science | A Step-by-Step Guide for 2022
This course is developed by R Tutor in coordination with industry masters and professors from elite educational institutes. R Tutor is a team of Data Science training professionals who explain complex concepts in the simplest form with real-life examples.
The course offers extensive training on the most in-demand Data Science skills with hands-on exposure to key tools and technologies. Become an expert in Data Science by diving deep into the nuances of data interpretation, mastering new technologies, and learning relevant skills to take your career in Data Science competency to the next level.
This course accelerates your career in Data Science and provides you with the world-class training and skills required to become successful in this field. Practice your skills with 200 Multiple Choice Questions and be a pro in the domain of Data Science.
After you have completed this Data Science course, you will receive a certificate from R-Tutor and Udemy, stating that you have acquired the skill set required to be a Data Science professional. This certificate will testify to your skills and assert your Data Science expertise.
On completing the course, you will be able to
List the important Data Mining techniques and popular Data Science tools.Recount the advantages and disadvantages of Data Science.Perceive the application of Data Science examples in real life.Ideate a project work for practicing Data Science.Choose from the wide range of career options available in Data Science.
No prior knowledge of Data Science is required.
Everyone can take this course and is best suited for: Students of high school, college, and university. Professionals and employees looking to step into the Data Science space. Everyone who is involved with Data Science in their everyday work.
Become a Data Science professional by enrolling in this course which helps you get started and pave your success from a beginner to an expert.
Start your Data Science journey today. It’s easy! Start now!
Who this course is for
Students of high school, college, and university.
Professionals and employees looking to step into the Data Science space.
Everyone who is involved with Data Science in their everyday work.
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