Information Technology
Hands on Training icon
Hands On Training
Hands on Training icon

Microsoft Future Ready: Data Science Research Methods Using Python Programming

Course Cover
compare button icon

$12

Visit Course

Visit Course

Course Features

icon

Duration

3 weeks

icon

Delivery Method

Online

icon

Available on

Lifetime Access

icon

Accessibility

Mobile, Desktop

icon

Language

English

icon

Subtitles

English

icon

Level

Intermediate

icon

Effort

5 hours per week

icon

Teaching Type

Self Paced

Course Description

This course is part the Ethics Laws and Implementing a AI Solution on Microsoft Azure ExpertTrack. It will help you understand and apply legal and ethical frameworks in data analysis, AI, and data research.

This course will teach you the basics of data research, including how to develop good research questions, design data collection strategies, analyse data, and put results into context. Data scientists are crucial in research, not just analysis. This course will teach you how to extract valuable insights from your data.

This course will help you gain confidence in the ability to analyse your data accurately. This includes how to test hypotheses and how to partition data to get additional valid results.

You will learn Python programming during the course. This is an important tool for machine learning and data science. The labs are all done in Python. However, the videos can be viewed in any language. This gives you ample opportunity to improve your Python programming skills.

You will be able to understand the research process by the end of this course and have practical skills in research methods and Python programming. This flexible language is used for everything data science related, as well as cutting-edge and scalable AI solutions.

Course Overview

projects-img

Alumni Network

projects-img

International Faculty

projects-img

Post Course Interactions

projects-img

Instructor-Moderated Discussions

Skills You Will Gain

What You Will Learn

check-card-img

Demonstrated an understanding of the planning aspect around data as well as research practices

check-card-img

Explained the different types of claims

check-card-img

Interpreted and understand the different designs

check-card-img

Examined reliability and validity

check-card-img

Identified the goals of research

Target Students

check-card-img

This self-paced course is designed for learners with an interest in using data for research, and methods of wrangling, compiling and presenting data for research

Course Cover

$12

Visit Course

Visit Course

Offer Percent Icon

1 Coupon Available
Get upto 30% Discount