Data Analysis Courses

AI is indeed transforming the data analyst's role. Rather than replacing them, it has automated repetitive tasks, freeing analysts to focus on complex issues, interpret AI results, and strategize. Although AI aids in data analysis, human supervision for training and adjusting AI models remains crucial. Thus, AI is changing the analyst role but increased its importance.

We only release courses that meet our high quality standards, which is why DataCamp is known as a leading platform for learning data analysis! That being said, our Data Analyst with Python Career Track is one of our most popular, comprehensive course programs for acquiring the skills to become a data analyst from scratch.

To become a data analyst quickly, a structured learning path like DataCamp's Career Tracks is beneficial. For example, programs such as our Data Analyst with Python and Data Analyst with Power BI Tracks are designed to gradually upskill you in the various concepts, technologies and processes required to be a data analyst.

And importantly, becoming a data analyst requires dedication and consistency in learning, while embracing a positive attitude towards problem-solving. Applying your knowledge to real-world projects helps solidify concepts, and creating a data portfolio to showcase these projects can demonstrate your proficiency to potential employers.

See our 'How to become a data analyst' article for further guidance.

With data analysis skills in your technical tool kit, you have plenty of job options:

• Data analyst
• Database administrator
• Systems analyst
• Business intelligence
• Digital marketer
• Data scientist
• Financial analyst
• And many more…

Because the modern business world is data-driven, people with data analysis skills find it easy to get work in an eclectic mix of industries and sectors.

Yes, data analysts are some of the most in-demand professionals worldwide. An APEC report noted that data science and analytics (DSA) is at the top of the skill shortage list, with supplies of professionals “critically low.”

Both public and private organizations need to understand their data to make informed decisions and for that, they need people with data analysis skills. It’s safe to say that learning data analysis in 2022 and beyond is a smart career move.

It depends. If you learn data analysis with DataCamp’s range of online courses, you won’t need any additional software. But if you decide to teach yourself, you will need to source all the tools and tech.

If you go down the latter route, know that data analysis relies upon several technologies. So, you should look into software such as Excel, Tableau, and Power BI. You’ll also need either R or Python, SQL, and access to a relational database such as PostgreSQL.

No. You don’t need to download anything; all you need is a reliable internet connection and a browser. 

We use our unique learning platform to teach you the tools and technologies of data analysis, so there’s no need to source the software yourself.

Full access to DataCamp’s wide range of data analysis courses. With a free subscription, you can complete the first chapter of all DataCamp courses, access parts of our resources and practice center, and get involved in the community.

With a premium subscription, you get unlimited access to all of DataCamp’s data analysis courses from the first chapter right through to completion (including access to our complete library of more than 350 courses). You’ll also be able to take part in special projects that help cement your learning and gain shareable statements of achievement.