Data Analyst

Jakub Romanowski

Top YouTube Channels Every Data Analyst Should Follow

If you're a data analyst or looking to become one, YouTube is a great resource to help you learn and grow. In this article, I’ll share the top YouTube channels every data analyst should follow. These recommendations will give you the knowledge you need to succeed in data analysis. YouTube is a great place to start learning data analysis, and I’m here to help you get the most out of it.

Maria Durkin

The Data Analysis Lifecycle: From Dataset to Presentation

In today's fast-paced decision-making climate, data is an invaluable resource. Raw data is like a rough diamond: it has great potential, but it must be processed to reveal its true brilliance. Achieving this brilliance is where the data analysis lifecycle comes in. The data analysis lifecycle maps out a structured journey of five steps: Collection Cleaning Analysis Interpretation Presentation Mastering the right tools for each step is key, and that's where SQL proves indispensable.

Alexandre Bruffa

Is the Data Analyst Still in Demand in 2024?

In 2024, the demand for data analysts will rise as businesses increasingly rely on data to make strategic decisions. In this article, we explore the importance of data analysts in shaping the future of data analysis. With the rise of AI, many wonder if the demand for data analysts will remain strong. After all, the data analytics industry has witnessed a remarkable transformation. It’s evolved into a pivotal force driving decision-making processes across various sectors.

LearnSQL.com Team

Does Data Analytics Require Coding

Thinking about a future in data analytics? You might be pondering the need for coding skills. Is it necessary to be good at programming? As the worlds of data analytics, technology, and data science merge, the importance of coding becomes clearer. It’s crucial to understand which programming languages are key and how much expertise you need, making the journey into this vibrant field less daunting. In this article, we're going to focus on the importance of coding, particularly SQL, for data analytics.

Maria Durkin

Building a Data Analyst Portfolio: All You Need to Know

In a competitive job market, it is not enough to simply have the necessary skills; you must also demonstrate them. This is where a well-crafted data analyst portfolio comes into play. In data analytics, a portfolio is more than just a collection of projects; it serves as proof of an analyst's abilities and is critical to standing out. It demonstrates concrete capabilities in data cleaning, analysis, and visualization as well as the ability to effectively communicate insights.

Maria Durkin

Business Analyst vs Data Analyst: Roles & Career Paths

Are you interested in working as a data analyst or business analyst? What’s the difference between these two roles? We explain the data analyst vs. business analyst debate in this article – and give you a pathway for success in either job. The demand for individuals skilled in decoding complex data has reached new heights in the ever-changing business landscape. Among the many roles available, business analysts and data analysts each have their own responsibilities, skill sets, and career paths.

Jill Thornhill

Data-Driven Career Choices: Database Student

Choosing a career is one of the most important decisions you'll ever make. A data-driven career is one of the best ways to secure your future; today's trend is to store and make use of more and more data in every field. In this article, I'll look at some of the choices available. We're living in an era where the quality and quantity of data is expanding exponentially. In almost any career you choose, you'll need to leverage data to make effective decisions.

Maria Durkin

SQL for Data Analysis: What Should I Learn?

You may already be aware of SQL's importance in data analytics. But what features of SQL are important to data analysis and where can you learn them? In this article, we will answer your questions. Before we talk about using SQL for data analysis, it helps to know what we’re talking about. So, let’s define these two things. Structured Query Language (SQL) is a programming language that is used to manage data in relational databases.

Adrian Więch

Google Analytics and SQL

Google Analytics is a very popular tool among website and blog owners alike. With a simple and quick setup, it lets you gather data about your web page visitors easily. However, did you know that you can export data from Google Analytics to create your own SQL reports? Read this article to find out how. Google Analytics is an extremely popular and powerful solution that lets you collect and analyze various kinds of information about your website.

Marija Ilic

Should I Learn SQL as a Data Analyst?

So, you are a data analyst—someone who relies on data. You like to gather, clean, and transform data and come to conclusions based on data. You are a data detective. Which tool do you choose to do your job in an elegant, reproducible, and simple way? Excel? R? Python? Or should you learn SQL? Stay tuned! In this article, I will explain why SQL is a must-have skill for data analysts.