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Data Analysis Courses

Data analysis courses teach techniques for inspecting, cleaning, transforming, and modeling data to discover useful information, inform conclusions, and support decision-making. Build your analysis skills using technologies such as Python, R and SQL.
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Build your Data Analysis skills with interactive courses, curated by real-world experts

Course

Analyzing Data in Tableau

8 hr
1.8K
Take your Tableau skills up a notch with advanced analytics and visualizations.

Track

Associate Data Analyst in SQL

39 hr
1.9K
Gain the SQL skills you need to query a database, analyze the results, and become a SQL proficient Data Analyst. No prior coding experience required!

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148 results

Course

Introduction to SQL

BeginnerSkill Level
2 hr
28.4K
Learn how to create and query relational databases using SQL in just two hours.

Course

Intermediate SQL

BeginnerSkill Level
4 hr
19.6K
Accompanied at every step with hands-on practice queries, this course teaches you everything you need to know to analyze data using your own SQL code today!

Course

Introduction to Power BI

BeginnerSkill Level
3 hr
8.4K
Master the Power BI basics and learn to use the data visualization software to build impactful reports.

Course

Data Manipulation with pandas

BeginnerSkill Level
4 hr
12.4K
Learn how to import and clean data, calculate statistics, and create visualizations with pandas.

Course

Joining Data in SQL

BeginnerSkill Level
4 hr
13.1K
Level up your SQL knowledge and learn to join tables together, apply relational set theory, and work with subqueries.

Course

Introduction to Excel

BeginnerSkill Level
4 hr
4.5K
Master the Excel basics and learn to use this spreadsheet tool to conduct impactful analysis.

Course

Introduction to Tableau

BeginnerSkill Level
6 hr
3.9K
Start your Tableau journey with our Introduction to Tableau course. Discover Tableau basics such as its features and dashboards.

Course

Data Manipulation in SQL

BeginnerSkill Level
4 hr
6K
Master the complex SQL queries necessary to answer a wide variety of data science questions and prepare robust data sets for analysis in PostgreSQL.

Course

Joining Data with pandas

IntermediateSkill Level
4 hr
6K
Learn to combine data from multiple tables by joining data together using pandas.
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Related resources on Data Analysis

How to Become a Data Analyst in 2024: 5 Steps to Start Your Career

Learn how to become a data analyst and discover everything you need to know about launching your career, including the skills you need and how to learn them.
Elena Kosourova 's photo

Elena Kosourova

20 min

20 Data Analytics Projects for All Levels

Explore our list of data analytics projects for beginners, final-year students, and professionals. The list consists of guided/unguided projects and tutorials with source code.
Abid Ali Awan's photo

Abid Ali Awan

17 min

Alteryx Tutorial: A Comprehensive Hands-On Guide for Data Analytics

Dive into our detailed Alteryx tutorial and learn how this powerful data analytics tool can transform your data handling experience. This guide covers everything from installation to advanced workflow automation in Alteryx, making it the perfect resource for beginners and seasoned data professionals alike.
Kurtis Pykes 's photo

Kurtis Pykes

11 min


Ready to apply your skills?

Projects allow you to apply your knowledge to a wide range of datasets to solve real-world problems in your browser

Project

Analyzing Unicorn Companies

1 hr
6.7K
Use your SQL skills to find out how many companies reached a valuation of over $1 billion across different industries between 2019 and 2021!

Project

Exploring Airbnb Market Trends

1 hr
2.8K
Apply your importing and cleaning data and data manipulation skills to explore New York City Airbnb data.
See More

Frequently asked questions

Is data analysis easy to learn?

It’s different for everyone. Some people pick up data analysis very quickly, while others need a bit more time. The underlying theory and concepts are not hard to understand (or highly technical), but you’ll need to learn a few popular data analysis tools. 

This includes SQL and databases, a programming language such as Python or R, spreadsheets and Excel, and software such as Power BI or Tableau. 

It might sound like a lot, but each technology is easy to learn individually, especially when you choose data analysis courses from a dedicated online training provider like DataCamp.

Has AI changed the role or need for data analysts?

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.

Which data analysis course is the best?

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.

How can I become a data analyst quickly?

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.

What jobs can you get with data analysis skills?

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.

Are data analysis skills in demand?

Yes, data analysts are some of the most in-demand professionals worldwide. Data from the US Bureau of Labor Statistics suggest the number of jobs for analysts is expected to grow by 23% between 2021 and 2031.

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