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Data Science Research Methods: Python Edition Training

Live Online & Classroom Enterprise Training

Programming In Python For Data Analytics And Data Science. Learn Statistical Analysis, Data Mining And Visualization

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What is Data Science Research Methods: Python Edition Training about?

In this course, you will learn the fundamentals of the research process--from developing a good question to designing good data collection strategies to putting results in context. Although data scientists may often play a crucial part in data analysis, the entire research process must work cohesively for valuable insights to be gleaned. 

Developed as a powerful and flexible language used in everything from Data Science to cutting-edge and scalable Artificial Intelligence solutions, Python has become an essential tool for doing Data Science and Machine Learning. With this edition of Data Science Research Methods, all of the labs are done with Python, while the videos are language-agnostic. 

What are the objectives of Data Science Research Methods: Python Edition Training ?

  • Understand the basics of Data Science and Analytics 
  • Understand how to use Python and Scikit to learn 
  • Get a good understanding of all buzzwords like "Data Science", "Machine learning", "Data Scientist" etc. 

Who is Data Science Research Methods: Python Edition Training for?

  • Anyone who wants to learn about Data Science from absolute scratch. 
  • Anyone who wants to switch or make a career in Data Science and Analytics 
  • Anyone curious to know what Data Science is and what a Data Scientist do in his/her day job. 

What are the prerequisites for Data Science Research Methods: Python Edition Training?

calculus, linear algebra, and programming.

Available Training Modes

Live Online Training

24 Hours

Self-Paced Training

24 Hours

Who is the instructor for this training?

The trainer for this Data Science Research Methods: Python Edition Training has extensive experience in this domain, including years of experience training & mentoring professionals.

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