Essential skills for data analysts

Essential skills for data analysts are discussed here to help you with your journey to become a data analyst. Whichever method you choose to study the complete breadth of data analytics skills, there is a foundational set of knowledge you must possess. Data analysts must be skilled in a specific set of abilities because they work with a lot of data every day.
Technical abilities that a data analyst should possess include:

Structured Query Language (SQL)

SQL is a database language used for handling large datasets that can’t be handled in Excel. It’s ideal for managing and storing data, and relating multiple databases, among other things.

Data Visualization

Data visualization refers to the skill of presenting the findings of data in the form of graphics and illustrations.

Data Cleaning

Data cleaning is one of the most crucial steps while compiling machine learning models. A dataset that’s thoroughly cleaned and organized can even beat fancy algorithms.

Python

Python is a high-level programming language that offers a plethora of specialized libraries, all are related to artificial intelligence.

Machine Learning

There are numerous new AI and predictive analytics applications being developed in the data science community. For data analysts, machine learning expertise has essentially become a need.

Our blog is full with useful material if you still want to learn more about the topic of data analytics before taking any further steps. Learn everything you need to know before deciding if this is the correct field for you. We’ve already done the hard work for you.

Here are some more articles you can read:

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7 tools every Excel user must know

10 Excel Functions you must know

10 principles of data-driven companies

Microsoft Excel Training Courses

This blog post was written by Brian Johnknox Muyambo, Principal Consultant at Data Analytics Training and Advisory Services.