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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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Recommended for Data Analysis beginners

Build your Data Analysis skills with interactive courses, curated by real-world experts

Course

Analyzing Data in Tableau

BasicSkill Level
8 hours
3.7K
Take your Tableau skills up a notch with advanced analytics and visualizations.

Track

Associate Data Analyst in SQL

39 hours
44.4K
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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Browse Data Analysis courses and tracks

235 Projects

Course

Introduction to SQL

BasicSkill Level
2 hours
112K
Learn how to create and query relational databases using SQL in just two hours.

Course

Introduction to Power BI

BasicSkill Level
4 hours
57.1K
Master the Power BI basics and learn to use the data visualization software to build impactful reports.

Course

Intermediate SQL

BasicSkill Level
4 hours
36.3K
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

Data Manipulation with pandas

BasicSkill Level
4 hours
26.8K
Learn how to import and clean data, calculate statistics, and create visualizations with pandas.

Course

Introduction to Excel

BasicSkill Level
4 hours
26.4K
Master the Excel basics and learn to use this spreadsheet tool to conduct impactful analysis.

Course

Joining Data in SQL

BasicSkill Level
4 hours
23.4K
Level up your SQL knowledge and learn to join tables together, apply relational set theory, and work with subqueries.

Course

Introduction to DAX in Power BI

BasicSkill Level
3 hours
13.8K
Enhance your Power BI knowledge, by learning the fundamentals of Data Analysis Expressions (DAX) such as calculated columns, tables, and measures.

Course

Introduction to Statistics

BasicSkill Level
4 hours
13K
Learn the fundamentals of statistics, including measures of center and spread, probability distributions, and hypothesis testing with no coding involved!

Course

Introduction to Statistics in Python

IntermediateSkill Level
4 hours
12.8K
Grow your statistical skills and learn how to collect, analyze, and draw accurate conclusions from data using Python.

Course

Introduction to Tableau

BasicSkill Level
6 hours
12.7K
Start your Tableau journey with our Introduction to Tableau course. Discover Tableau basics such as its features and dashboards.

Course

Data Manipulation in SQL

BasicSkill Level
4 hours
12.2K
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

Exploratory Data Analysis in Python

IntermediateSkill Level
4 hours
11.2K
Learn how to explore, visualize, and extract insights from data using exploratory data analysis (EDA) in Python.

Course

Data Visualization in Power BI

BasicSkill Level
3 hours
10.8K
Power BI is a powerful data visualization tool that can be used in reports and dashboards.

Course

Joining Data with pandas

IntermediateSkill Level
4 hours
10K
Learn to combine data from multiple tables by joining data together using pandas.

Course

Data Preparation in Excel

BasicSkill Level
3 hours
8.6K
Understand how to prepare Excel data through logical functions, nested formulas, lookup functions, and PivotTables.

Course

Exploratory Data Analysis in SQL

IntermediateSkill Level
4 hours
7.8K
Learn how to explore whats available in a database: the tables, relationships between them, and data stored in them.

Course

Data Preparation in Power BI

BasicSkill Level
3 hours
7.1K
In this interactive Power BI course, you’ll learn how to use Power Query Editor to transform and shape your data to be ready for analysis.

Course

Cleaning Data in Python

IntermediateSkill Level
4 hours
6.2K
Learn to diagnose and treat dirty data and develop the skills needed to transform your raw data into accurate insights!

Course

Introduction to Statistics in R

IntermediateSkill Level
4 hours
5.4K
Grow your statistical skills and learn how to collect, analyze, and draw accurate conclusions from data.

Course

Data Transformation in Power BI

IntermediateSkill Level
3 hours
5.4K
You’ll learn how to (un)pivot, transpose, append and join tables. Gain power with custom columns, M language, and the Advanced Editor.

Course

Data Visualization in Excel

BasicSkill Level
3 hours
5.1K
Learn how to create a range of visualizations in Excel for different data layouts, ensuring you incorporate best practices to help you build dashboards.

Course

Data Manipulation with dplyr

BasicSkill Level
4 hours
5.1K
Build Tidyverse skills by learning how to transform and manipulate data with dplyr.

Course

DAX Functions in Power BI

BasicSkill Level
3 hours
5K
Data Analysis Expressions (DAX) allow you to take your Power BI skills to the next level by writing custom functions.

Related resources on Data Analysis

blog

How to Become a Data Analyst in 2025: 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

15 min

blog

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

13 min

Tutorial

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

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    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.

    How can online courses help you learn data analytics?

    DataCamp's courses provide a flexible and convenient way to learn data analytics at your own pace. Our data analytics courses, taught by industry experts, offer interactive exercises and practical projects that help you apply theoretical concepts to real-world scenarios.

    Do I need a background in programming to start learning data analytics?

    No, you don't need a programming background to start learning data analytics. Our beginner courses, such as Introduction to SQL and Analyzing Data in Tableau, are designed to accommodate beginners and gradually introduce programming concepts, if needed.

    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.

    How can I prove my data analysis skills to employers?

    To prove your data analysis skills to employers, you can complete our industry recognized Data Analyst Certification. This certification showcases your data analysis knowledge using SQL and either Python or R.

    What tools and software are commonly used in data analytics?

    Common tools in data analytics include Excel, SQL, Python, R, Tableau, and Power BI. These tools help in data manipulation, analysis, and visualization.

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