Top 10 Skills for Machine Learning Professionals
21mBeginner2022-09-08
Authors

Ben Sullins
Data Geek, Tech Consultant
Free the Data Academy
Data Analytics Training Company
Course details
Check out the Top 10 Skills series, where career experts and LinkedIn Learning instructors walk you through the most important skills for data science professionals today. In this short beginner-friendly course, find out what you need to know to succeed in the rapidly growing field of machine learning, gathering insights along the way from data expert Ben Sullins to build out your toolbox and boost your career.
Whether you’re looking for a new move in data science, or just retooling for your current role, Ben shows you the skill set that can set you apart, working down the list, one skill at a time. Explore the power of knowing more about math, basic algorithms and data structures, object-oriented programming, programming languages, data processing frameworks, machine learning algorithms and models, data mining and modeling techniques, coding practices, communication skills, and curiosity. Discover the importance of preparing for tomorrow by learning impactful, new skills today.
Whether you’re looking for a new move in data science, or just retooling for your current role, Ben shows you the skill set that can set you apart, working down the list, one skill at a time. Explore the power of knowing more about math, basic algorithms and data structures, object-oriented programming, programming languages, data processing frameworks, machine learning algorithms and models, data mining and modeling techniques, coding practices, communication skills, and curiosity. Discover the importance of preparing for tomorrow by learning impactful, new skills today.
Skills covered
Machine LearningCareer ManagementArtificial Intelligence FoundationsCareer DevelopmentPersonaArtificial Intelligence (AI)
Concepts
1. Top 10 Skills for Machine Learning Professionals
- 01 - Skills for machine learning professionals
- 02 - Strong math skills
- 03 - Familiarity with basic algorithms and data structures
- 04 - Understanding of object-oriented programming concepts
- 05 - Experience with at least one programming language
- 06 - Knowledge of big data processing frameworks
- 07 - Understanding of machine learning algorithms and models
- 08 - Experience with data mining and modeling techniques
- 09 - Good coding practices and habits
- 10 - Communication skills
- 11 - Passion for learning new things
- 12 - See you in the next course
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