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What skills do data engineers need?

If you’re interested in a career in Data Engineering, you might be wondering what kind of skills you need to excel. Below are some of the specific skills that you’ll use in your work as a Data Engineer.

“These topics are what you would call a Data Engineer’s toolkit, in terms of which areas you want to get some sort of skill or mastery in,” Femi tells us. He adds that Data Engineers who are just starting out should not worry about mastering every skill, but that they “should have experience dabbling in all of them.”

• Data processing
• Data Storage
• Database
• Containerization
• Caching

What skills do Data Analysis need

That said, the rewards of a career in data analytics won’t come without significant training and effort. Data analysts require specific skills to thrive in their field, and their qualifications are primarily tech-centric; however, those in the profession also need a handful of soft skills. There is no one way to go about gaining these skills. While many individuals opt into master’s programs, a growing cohort of learners has begun enrolling in boot camps, attracted by their reasonable price points and brief timelines. But regardless of the route you take, you will need to acquire a sturdy set of skills in order to become an in-demand data professional.

Below, we’ve listed the top 11 technical and soft skills required to become a data analyst:

• Data Visualization
• Data Cleaning
• MATLAB
• R
• Python
• SQL and NoSQL
• Machine Learning
• Linear Algebra and Calculus
• Microsoft Excel
• Critical Thinking
• Communication

5 Skills You Need to Become a Machine Learning Engineer

Now, let’s get into the real details of what it takes to be a machine learning engineer. We’re going to break this into two primary sections:

• Skills, and
• Languages and libraries

We’ll begin with the skills here, then in a follow up post we’ll address languages and libraries for machine learning

• Computer Science Fundamentals and Programming
• Probability and Statistics
• Data Modeling and Evaluation
• Applying Machine Learning Algorithms and Libraries
• Software Engineering and System Design
• .

what skills required for artificial intelligence

Machine learning and artificial intelligence (ML/AI) are two advanced technologies with the power to transform the way businesses operate and humans interact. ML/AI are already impacting industries like IT, FinTech, healthcare, education and transportation—and it won’t stop there. Companies are becoming more and more laser-focused on AI value, getting out of the experimentation phase and really focusing on accelerating its adoption. This means that software engineers prepared to occupy ML/AI development roles will soon be in higher demand than ever before.

These are the seven skills you need to take advantage of the growing opportunity to build great ML/AI solutions: