One of the essential factors in deciding to learn a skill like machine learning is researching complementary and related skills. Doing so will help you make more informed decisions about what you want to learn, and it will help you decide whether or not a specific skill is right for you. You may also find out what skills will complement your training over time. Read on for ML-related training options like Python, SQL, and data visualization.

What is Machine Learning?

Machine learning (ML) is one of the best-known subcategories of artificial intelligence (AI). This complex multidisciplinary field can require training in programming languages like Python, databases like MySQL, and natural language processing (NLP). Common ML careers include Machine Learning Engineers, Data Scientists, and Business Intelligence (BI) Analysts.

Machine learning is often associated with Python programming and data science. Popular uses of ML in daily activities include voice recognition tools like Siri, recommendation lists from Amazon or Netflix, and user engagement icons on platforms like Instagram and TikTok. 

Read more about what machine learning is and why you should learn it.

What Can You Do with Machine Learning Skills?

Machine learning algorithms dominate today’s internet. Websites gather information based on search, social, and shopping. Top ML applications include:

• Social media - Meta Platforms was one of the first well-known companies to use ML to measure user activities. Other social media platforms using ML include Twitter and TikTok.

• Recommendation Engines - If you use Amazon or streaming services, you’ve seen the You May Like feature. Companies like Apple and Netflix use ML algorithms to customize experiences.

• Natural Language Processing (NLP) - Analyzing text includes steps like identifying the language, syntax parsing, and sentiment analysis. Machine learning is essential to NLP.

Skills Related to Machine Learning

As a subcategory of artificial intelligence (AI), machine learning is a complex subject, combining mathematics, computer science, and coding skills. Different roles require different tools, but titles for some of the most popular machine learning careers include:

• Data Scientist
• Data Engineer
• Machine Learning Engineer
• Business Intelligence (BI) Analyst
• Natural Language Processing (NLP) Scientist

Numerous skills and tools related to machine learning apply to many ML-centered roles, including NLP, neural network architectures, and data analysis. While you may learn some of the following as part of a broader data science curriculum, consider them essential to ML positions.

Python

Python is one of the world's top programming languages, a key element of data science, data analytics, and many machine learning positions. Depending on your goals and skill set, you might already know Python or choose to study machine learning as part of an in-depth Python data science or FinTech curriculum. If you're taking ML classes, chances are you have some Python expertise.

Machine learning bootcamps or certificate programs often include training in specific Python frameworks and libraries essential to ML. For example, if you take Noble Desktop's Data Science Certificate program, you'll learn Pandas, NumPy, and Scikit-learn. Other ML-friendly libraries include TensorFlow, Matplotlib, and PyTorch.

SQL

SQL stands for Structured Query Language, an essential skill for data science, business and financial analysis, and web development. Tech pros of all stripes use SQL to build and maintain databases.

SQL training often falls within broader data science or data science curricula. These programs may include Python, machine learning, data visualization, and other related tools and skills. 

If you want to be a Business Analyst or Data Analyst, you can get your SQL training as part of Noble Desktop’s Data Analytics Certificate program. This immersive course includes an SQL Bootcamp, a Python Machine Learning Bootcamp, and other modules as part of an immersive data analysis curriculum.

Data Visualization

Whether you’re a Business Intelligence Analyst or a Data Scientist, data visualization can be as essential to your role as machine learning. Data visualization specialists use Python libraries like Plotly and Dash to build interfaces and applications. Data pros use top data visualization tools like Power BI and Tableau to create interactive, shareable visualizations like charts, maps, and tables.

Depending on your position, you may want to get your data visualization tools through a bootcamp or certificate program. Noble Desktop offers a Data Science Certificate and Data Analytics Certificate, which includes its Tableau Bootcamp. You can also take their Tableau or Power BI Bootcamp separately.

Learn Machine Learning Skills with Noble Desktop

Noble Desktop offers in-person and live online bootcamps and certificates featuring machine learning (ML), like:

• Data Science Certificate - This program provides data science fundamentals before advancing through ML, Python for automation, and Structured Query Language (SQL).

• Python Machine Learning Bootcamp - Programmers already comfortable with Python data science can save by taking this bootcamp as part of the Data Science Certificate.

• Python Data Science & Machine Learning Bootcamp - This bootcamp combines ML and Python training modules from the Data Science Certificate but without the SQL bootcamp. 

• Check out Noble Desktop's full-time and part-time data science programs here.

Key Takeaways

• Machine learning (ML) is a popular subcategory of artificial intelligence (AI).

• Training options related to ML include Python, SQL, and data visualization.

• Common careers requiring ML skills include:
  • Machine Learning Engineer
  • Data Scientist
  • Data Engineer
  • Business Intelligence (BI) Analyst
  • Natural Language Processing (NLP) Scientist

• Machine learning applies to numerous roles, including:
• Social media
• Product recommendations
• NLP

• Many ML-centered roles require some of the same skills and tools. Among the most popular are:
  • Python data science or data analytics
  • Structured Query Language (SQL)
  • Data visualization tools like Power BI or Tableau

• You can receive comprehensive machine learning training in-person or online through Noble Desktop.