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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

在 Tableau 中分析数据

基础技能水平
4.8+
1,608 条评价
8小时
用高级分析和可视化提升你的 Tableau 技能。

学习路径

初级数据分析师 在 SQL 中

4.7+
172 条评价
39小时
掌握查询数据库、分析结果并成为精通 SQL 的数据分析师所需的 SQL 技能。 无需编程经验！

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浏览 Data Analysis 课程和学习路径

课程

Data Visualization in Databricks

基础技能水平
4.7+
579 条评价
3小时
Create visualizations and dynamic dashboards with Databricks, turning raw data into clear and actionable insights.

课程

Data Manipulation in Alteryx

基础技能水平
4.8+
625 条评价
3小时
Orchestrate data using unions, joins, parsing, and performance optimization in Alteryx.

课程

Manipulating Time Series Data in R

中级技能水平
4.8+
283 条评价
4小时
Master time series data manipulation in R, including importing, summarizing and subsetting, with zoo, lubridate and xts.

课程

Introduction to Statistics in Google Sheets

基础技能水平
4.8+
577 条评价
4小时
Learn how to leverage statistical techniques using spreadsheets to more effectively work with and extract insights from your data.

课程

Modeling with Data in the Tidyverse

中级技能水平
4.8+
227 条评价
4小时
Discover different types in data modeling, including for prediction, and learn how to conduct linear regression and model assessment measures in the Tidyverse.

课程

A/B Testing in Python

中级技能水平
4.7+
353 条评价
4小时
Learn the practical uses of A/B testing in Python to run and analyze experiments. Master p-values, sanity checks, and analysis to guide business decisions.

课程

Calculations in Tableau

高级技能水平
4.7+
643 条评价
6小时
In this interactive course, you’ll learn how to use functions for your Tableau calculations and when you should use them!

课程

Introduction to Oracle SQL

基础技能水平
4.8+
245 条评价
4小时
Sharpen your skills in Oracle SQL including SQL basics, aggregating, combining, and customizing data.

课程

Introduction to Bioconductor in R

中级技能水平
4.7+
112 条评价
4小时
Learn to use essential Bioconductor packages for bioinformatics using datasets from viruses, fungi, humans, and plants!

课程

Forecasting in R

基础技能水平
4.9+
51 条评价
5小时
Learn how to make predictions about the future using time series forecasting in R including ARIMA models and exponential smoothing methods.

课程

Intermediate Google Sheets

基础技能水平
4.8+
802 条评价
4小时
Expand your Google Sheets vocabulary by diving deeper into data types, including numeric data, logical data, and missing data.

课程

Intermediate SQL Querying with AI

基础技能水平
4.8+
220 条评价
3小时
Build SQL skills by writing AI prompts that generate queries for sorting, grouping, filtering, and categorizing data.

课程

Linear Algebra for Data Science in R

中级技能水平
4.7+
133 条评价
4小时
This course is an introduction to linear algebra, one of the most important mathematical topics underpinning data science.

课程

Visualizations in Sigma

基础技能水平
4.8+
173 条评价
2小时
Learn to build and customize Sigma charts to tell clear, compelling data stories—no coding required.

课程

Foundations of Inference in R

中级技能水平
4.7+
50 条评价
4小时
Learn how to draw conclusions about a population from a sample of data via a process known as statistical inference.

课程

Introduction to Spark SQL in Python

高级技能水平
4.7+
142 条评价
4小时
Learn how to manipulate data and create machine learning feature sets in Spark using SQL in Python.

课程

Introduction to Polars

基础技能水平
4.8+
391 条评价
3小时
Learn how to efficiently transform, clean, and analyze data using Polars, a Python library for fast data manipulation.

课程

Data Types and Functions in Snowflake

中级技能水平
4.8+
470 条评价
3小时
Learn Snowflake data types and functions to manipulate text, numbers, and dates while building custom functions and pivot tables.

课程

Generalized Linear Models in R

中级技能水平
4.8+
190 条评价
4小时
The Generalized Linear Model course expands your regression toolbox to include logistic and Poisson regression.

课程

Experimental Design in R

中级技能水平
4.7+
320 条评价
4小时
In this course youll learn about basic experimental design, a crucial part of any data analysis.

课程

Statistical Techniques in Tableau

中级技能水平
4.8+
632 条评价
4小时
Take your reporting skills to the next level with Tableau’s built-in statistical functions.

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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