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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

课程

Analyzing Data in Tableau

基础技能水平
4.5+
3.2K
8 小时
Take your Tableau skills up a notch with advanced analytics and visualizations.

学习路径

Associate Data Analyst in SQL

53.8K
39 小时
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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课程

Introduction to Power BI

基础技能水平
4.7+
56.3K
4 小时
Master the Power BI basics and learn to use the data visualization software to build impactful reports.

课程

Introduction to SQL

基础技能水平
4.7+
39.7K
2-3 hours
Learn how to create and query relational databases using SQL in just two hours.
AI Native

课程

Introduction to Excel

基础技能水平
4.5+
22.6K
4 小时
Master the Excel basics and learn to use this spreadsheet tool to conduct impactful analysis.

课程

Intermediate SQL

基础技能水平
4.7+
22.2K
Over 3 hours
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!
AI Native

课程

Joining Data in SQL

基础技能水平
4.5+
21.2K
Over 3 hours
Level up your SQL knowledge and learn to join tables together, apply relational set theory, and work with subqueries.
AI Native

课程

Introduction to DAX in Power BI

基础技能水平
4.6+
13K
3 小时
Enhance your Power BI knowledge, by learning the fundamentals of Data Analysis Expressions (DAX) such as calculated columns, tables, and measures.

课程

Data Visualization in Power BI

基础技能水平
4.5+
11.3K
3 小时
Power BI is a powerful data visualization tool that can be used in reports and dashboards.

课程

Data Manipulation in SQL

基础技能水平
4.5+
11.2K
4 小时
Master the complex SQL queries necessary to answer a wide variety of data science questions and prepare robust data sets for analysis in PostgreSQL.

课程

Introduction to Tableau

基础技能水平
4.7+
10.1K
6 小时
Start your Tableau journey with our Introduction to Tableau course. Discover Tableau basics such as its features and dashboards.

课程

Introduction to Statistics

基础技能水平
4.5+
9.7K
4 小时
Learn the fundamentals of statistics, including measures of center and spread, probability distributions, and hypothesis testing with no coding involved!

课程

Introduction to Statistics in Python

中级技能水平
4.5+
8.5K
4 小时
Grow your statistical skills and learn how to collect, analyze, and draw accurate conclusions from data using Python.

课程

Data Preparation in Excel

基础技能水平
4.5+
8.1K
3 小时
Understand how to prepare Excel data through logical functions, nested formulas, lookup functions, and PivotTables.

课程

Joining Data with pandas

中级技能水平
4.5+
8K
4 小时
Learn to combine data from multiple tables by joining data together using pandas.

课程

Exploratory Data Analysis in SQL

中级技能水平
4.4+
7.3K
4 小时
Learn how to explore whats available in a database: the tables, relationships between them, and data stored in them.

课程

Exploratory Data Analysis in Python

中级技能水平
4.5+
7.2K
4 小时
Learn how to explore, visualize, and extract insights from data using exploratory data analysis (EDA) in Python.

课程

Data Preparation in Power BI

基础技能水平
4.7+
7.2K
3 小时
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.

课程

Data Visualization in Excel

基础技能水平
4.5+
5.6K
3 小时
Learn how to create a range of visualizations in Excel for different data layouts, ensuring you incorporate best practices to help you build dashboards.

课程

Data Transformation in Power BI

中级技能水平
4.5+
5.4K
3 小时
You’ll learn how to (un)pivot, transpose, append and join tables. Gain power with custom columns, M language, and the Advanced Editor.

课程

DAX Functions in Power BI

基础技能水平
4.6+
4.8K
3 小时
Data Analysis Expressions (DAX) allow you to take your Power BI skills to the next level by writing custom functions.

课程

Cleaning Data in Python

中级技能水平
4.5+
4.7K
4 小时
Learn to diagnose and treat dirty data and develop the skills needed to transform your raw data into accurate insights!

课程

Introduction to Power Query in Excel

基础技能水平
4.5+
4.6K
3 小时
Explore Excel Power Query for advanced data transformation and cleansing to boost your decision-making and analysis.

Data Analysis 相关资源

博客

How to Become a Data Analyst in 2026: 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分钟

博客

30 Data Analytics Projects for All Levels in 2026

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分钟

教程

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分钟

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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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