Data Scientist

Prerequisite for the course

  • There is no prerequisite for taking this training.Basic knowledge of any programming language will be beneficial

FAQ

What if You miss a  class?

You can access recording video of to your missed class on our website.

Can i attend a demo class before enrollment?

You can view our live-demo  session recordings always.

Who should go for this Training?

This training of qwikmind is suited for all the professional which will be provided by trained IT professional.

What if I have more queries?

Write to us at contact@qwikmind.com with your query and we will get back to you soon.

About The Course

  • Become an expert in data Scientists with the help of our trainers.The job of a data scientist is to glean knowledge from complex and noisy data sets. A Data scientist is someone who knows how to extract meaning from and interpret data, which requires both tools and methods from statistics and machine learning, as well as being human. Here in this training you will get to learn all of these from scratch.

Why This Course

  • The average data scientist today earns $123,000 a year, according to Indeed.com. 

  • They take an enormous mass of messy data points (unstructured and structured) and use their formidable skills in math.A data scientist is someone who is better at statistics than any software engineer and better at software engineering than any statistician 

Course Description

  • Data scientist is someone who knows how to extract meaning from and interpret data, which requires both tools and methods from statistics and machine learning, as well as being human. She spends a lot of time in the process of collecting, cleaning, and munging data, because data is never clean.a Data Scientist. Data scientists are big data wranglers. They take an enormous mass of messy data points (unstructured and structured) and use their formidable skills in math, statistics and programming to clean, massage and organize them

What you will learn

  • Math and statistics.

  • Programming and database.

  • Domain knowledge of soft skills.

  • Communication and visualization.

Course Contents

  • What is Data Science

  • Definition Data Science.

  • Data scientist skill.

  • Learning Data Science.

  • Data Science resources.

  • Professional Importance.

  • Types Of Data Scientists.

  • Data Scientists Statistics.

  • Skills needed.

  • Summary.