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Top courses in data analysis

It’s a wonderful time to learn data analysis. With so many great resources to choose from, knowing exactly where to start can be difficult. Online courses are an easy way to start your journey because they are so comprehensive and accessible. In this article, we’re going to review some well-designed courses to introduce you to data analysis and help you embark on your path to becoming a data analyst.

Before we begin, let’s talk about some of the different providers of these courses. Two big ones are Udemy and Coursera, which offer different things but make a nice contrast. Udemy is very much geared towards beginners and offers a simpler approach to its courses, while Coursera is more academic and offers many courses with projects and case studies included.

Both differ in prices, with Udemy being very cheap and sometimes having massive deals on its courses. However, Coursera follows a monthly pay approach – which can be beneficial if you already have a solid understanding of the subject matter of a course. If you don’t like the sound of any of these options, don’t worry – there are a lot more out there like Udacity, edX, CodeAcademy and of course free Data analysis tutorials here on Developer.com.

Read: Data Analytics versus Data Science: What’s the Difference?

General data analysis courses

Data Analysis and Presentation Skills – Coursera

In this course, you will learn everything about data and, above all, how to effectively present your findings in order to make meaningful connections.

Introduction to data analysis with Excel – Coursera

In this course you will learn the basics of data analysis using the widely used Microsoft Excel tool.

SQL courses

SQL for data analysis – Udemy

Learn the basics of SQL in this course that uses PostgreSQL to help you become fluent in SQL commands and concepts.

Learn SQL Basics for Data Science – Coursera

Don’t be afraid of the mention of data science; This course deals with evaluating and creating data sets while also looking at the basics of SQL.

Python programming courses

Automate boring things with Python programming – Udemy

A fun and easy course that will enable the average office worker to leverage Python’s many skills.

Crash course on Python – Coursera

This course, offered by Google, will teach you the basics of writing Python code with no prior knowledge required.

Data visualization courses

Tableau training for data science – Udemy

In this course, learn the basics of data visualization for data analytics and data science.

Build interactive dashboards with Tableau – Udemy

This course focuses on building dashboards with Tableau so that you can better convey the insights from your data.

Data visualization with Tableau specialization – Coursera

In this course, you will learn the basics of building Insights with Tableau.

Getting started with Power BI Desktop – Coursera

A two-hour project-based course that goes straight to the use of Microsoft Power BI.

Additional thoughts

As mentioned earlier, there are numerous resources available for learning about data analysis concepts. For a more comprehensive approach, take a look at the data analytics certifications as offered by Google.

Would you like to know whether the Google data analysis certificate is worthwhile? Read this article: https://www.developer.com/database/google-data-analytics-certificate/

Conclusion on the top courses in data analysis

Whichever data analysis course you choose, it’s important not to overwhelm yourself. It is easy to get caught up in all the opportunities available to you, but don’t make the mistake of treating courses as awards rather than means of acquiring knowledge. Take your time on each class and don’t worry about the next one until you have a good understanding of the topics you just learned. Data analysis is a complex discipline and consists of several levels. You won’t learn overnight, so it’s best to make the most of the trip and soak up as much knowledge as you can.

Looking for a job as a data analyst or developer? Look at T.The careers page of echnologyAdvice to see open technology roles.

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