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Python Data Science – For Beginners

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course-highlight Course Highlights

With the rise of machine learning applications in recent years, demand for python programmers continues to grow correspondingly. Python Data Science – For Beginners covers all the essential knowledge a beginner will need to understand Python data science. Python programming is one of the powering skills and having it in your CV could be most definitely a skyscraping leverage.

The course is designed by professionals to help our learners in building a both practical and theoretical knowledge of it. Having a good and solid foundation is mandatory to work efficiently in this field and Python Data Science – For Beginners will ensure you just that. It is a self-paced course, meaning the learner can complete the course at his suitable time schedule. Our course is split into 3 units with 2 short modules each under it. Professional certificates will be provided to the learners after the completion of their course.

Enroll today to get access to the materials and gain an empowering skill to aid your career development. 

course-benefits Learning outcome

  • Individuals interested in Python Data Science
  • Students
  • Job Seekers
  • Workers wanting pay rise or promotion

course-why Why should I take this course?

  • Affordable premium-quality E-learning content, you can learn at your own pace.
  • You will receive a completion certificate upon completing the course.
  • Internationally recognized Accredited Qualification will boost up your resume.
  • You will learn the researched and proven approach adopted by successful people to transform their careers.
  • You will be able to incorporate various techniques successfully and understand your customers better.

course-requirement Requirements

  • No formal qualifications required, anyone from any academic background can take this course.
  • Access to a computer or digital device with internet connectivity.

Course Curriculum

  • play Module 01: Introduction to Python Data Science
    play 00:03:00
  • play Module 02: Environment Setup
    play 00:10:00