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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+
1,611 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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课程

Foundations of Probability in R

基础技能水平
4.7+
444 条评价
4小时
In this course, youll learn about the concepts of random variables, distributions, and conditioning.

课程

Statistical Techniques in Tableau

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

课程

Intermediate Importing Data in R

中级技能水平
4.8+
268 条评价
3小时
Parse data in any format. Whether its flat files, statistical software, databases, or data right from the web.

课程

Window Functions in Snowflake

中级技能水平
4.8+
473 条评价
3小时
Discover Snowflake window functions to solve complex data problems with rankings, partitions, and rolling calculations.

课程

Dealing With Missing Data in R

基础技能水平
4.7+
135 条评价
4小时
Make it easy to visualize, explore, and impute missing data with naniar, a tidyverse friendly approach to missing data.

课程

Case Study: Analyzing Job Market Data in Power BI

基础技能水平
4.8+
318 条评价
4小时
Help a fictional company in this interactive Power BI case study. You’ll use Power Query, DAX, and dashboards to identify the most in-demand data jobs!

课程

Visualizing Time Series Data in R

中级技能水平
4.8+
175 条评价
4小时
Learn how to visualize time series in R, then practice with a stock-picking case study.

课程

RNA-Seq with Bioconductor in R

中级技能水平
4.7+
138 条评价
4小时
Use RNA-Seq differential expression analysis to identify genes likely to be important for different diseases or conditions.

课程

Calculations in Sigma

基础技能水平
4.9+
136 条评价
2小时
Build dynamic Sigma calculations to explore data, automate logic, and uncover trends with practical business examples.

课程

Feature Engineering with PySpark

高级技能水平
4.8+
286 条评价
4小时
Learn the gritty details that data scientists are spending 70-80% of their time on; data wrangling and feature engineering.

课程

Data Processing in Shell

中级技能水平
4.8+
488 条评价
4小时
Learn powerful command-line skills to download, process, and transform data, including machine learning pipeline.

课程

Case Study: Analyzing Job Market Data in Tableau

基础技能水平
4.7+
537 条评价
3小时
In this case study, you’ll use visualization techniques to find out what skills are most in-demand for data scientists, data analysts, and data engineers.

课程

Visualizing Geospatial Data in Python

中级技能水平
4.7+
333 条评价
4小时
Learn how to make attractive visualizations of geospatial data in Python using the geopandas package and folium maps.

课程

Factor Analysis in R

高级技能水平
4.7+
147 条评价
4小时
Explore latent variables, such as personality, using exploratory and confirmatory factor analyses.

课程

Anomaly Detection in Python

中级技能水平
4.8+
174 条评价
4小时
Detect anomalies in your data analysis and expand your Python statistical toolkit in this four-hour course.

课程

Bayesian Data Analysis in Python

中级技能水平
4.7+
252 条评价
4小时
Learn all about the advantages of Bayesian data analysis, and apply it to a variety of real-world use cases!

课程

Case Study: Ecommerce Analysis in Power BI

中级技能水平
4.8+
199 条评价
4小时
In ecommerce, increasing sales and reducing costs are key. Analyze data from an online pet supply company using Power BI.

课程

Introduction to Network Analysis in Python

中级技能水平
4.7+
209 条评价
4小时
This course will equip you with the skills to analyze, visualize, and make sense of networks using the NetworkX library.

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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