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Top 10 Skills for Machine Learning Professionals

person icon Ben Sullins

4.5

Top 10 Skills for Machine Learning Professionals

Learn the skills employers are looking for today

updated on icon Updated on Jun, 2025

language icon Language - English

person icon Ben Sullins

English [CC]

category icon Development ,Data Science,Machine Learning

Lectures -12

Duration -21 mins

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Course Description

Today's world of technology requires experienced machine learning professionals who can solve complex algorithms, interpret and analyze data with precision, and bring invaluable insight to their teams. 

That's why we're proud to present a class that will help you set yourself apart with the necessary skills needed for success in machine learning.

Our Top 10 Skills for Machine Learning Professionals course will take you through the fundamentals of this ever-evolving industry, from basic concepts to advanced skills. 

With expert insights from Ben Sullins, gain the know-how to build up your toolbox and create a career path in machine learning like never before.

Goals

  • Strong Math Skills
  • Familiarity with basic Algorithms and data structures
  • Understanding of Object-Oriented programming concepts
  • Experience with at least one programming language
  • Knowledge of Big Data processing frameworks
  • Understanding of machine learning algorithms and models
  • Experience with data mining and modeling techniques
  • Good coding practices and habits
  • Communication skills
  • Passion for learning new things

Prerequisites

  • Foundation in mathematics
  • Knowledge of computer science concepts such as algorithms
Top 10 Skills for Machine Learning Professionals

Curriculum

Check out the detailed breakdown of what’s inside the course

Introduction

1 Lectures
  • play icon Welcome 02:14 02:14

Top 10 Skills

10 Lectures
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Thanks for Watching

1 Lectures
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Instructor Details

Ben Sullins

Ben Sullins

As a life-long data geek, Ben dedicates his time helping others use data wisely. He makes information meaningful and has fun doing it.


His background affords him a unique set of knowledge that sets him apart in the data community. Since the late 90's Ben has consulted many high-tech companies including Facebook, Microsoft, LinkedIn, Cisco, Mozilla, Pluralsight, and Genentech on democratizing data in their organizations. Moreover, Ben spent three months leading the charge at Facebook to grow its data culture by demonstrating proper tool implementation and data visualization techniques using Tableau. And with this expertise, Ben aims to help you learn all the skills necessary to make an impact on your business or organization.

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