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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
4.8+
1,823 reviews
8 hr
Take your Tableau skills up a notch with advanced analytics and visualizations.

Track

Associate Data Analyst in SQL

4.7+
193 reviews
39 hr
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

Course

Intermediate Power Query in Excel

IntermediateSkill Level
4.7+
1,209 reviews
4 hr
Building on your foundational Power Query in Excel knowledge, this intermediate course takes you to the next level of data transformation mastery

Course

Exploratory Data Analysis in R

IntermediateSkill Level
4.7+
1,280 reviews
4 hr
Learn how to use graphical and numerical techniques to begin uncovering the structure of your data.

Course

Introduction to Sigma

BasicSkill Level
4.8+
544 reviews
2 hr
Get started with Sigma! Learn how to build and customize simple, interactive dashboards for real-time analytics.

Course

Experimental Design in Python

IntermediateSkill Level
4.7+
1,945 reviews
4 hr
Implement experimental design setups and perform robust statistical analyses to make precise and valid conclusions!

Course

Web Scraping in Python

IntermediateSkill Level
4.7+
1,105 reviews
4 hr
Learn to retrieve and parse information from the internet using the Python library scrapy.

Course

Data Preparation in Alteryx

BasicSkill Level
4.8+
1,176 reviews
3 hr
Master data preparation, cleaning, and analysis in Alteryx Designer, whether you are a new or seasoned analyst.

Course

Hypothesis Testing in R

IntermediateSkill Level
4.7+
1,050 reviews
4 hr
Learn how and when to use hypothesis testing in R, including t-tests, proportion tests, and chi-square tests.

Course

Joining Data with dplyr

BasicSkill Level
4.7+
1,326 reviews
4 hr
Learn to combine data across multiple tables to answer more complex questions with dplyr.

Course

Creating PostgreSQL Databases

BasicSkill Level
4.8+
758 reviews
4 hr
Learn how to create a PostgreSQL database and explore the structure, data types, and how to normalize databases.

Course

Connecting Data in Tableau

BasicSkill Level
4.8+
1,252 reviews
3 hr
Learn to connect Tableau to different data sources and prepare the data for a smooth analysis.

Course

Time Series Analysis in Python

IntermediateSkill Level
4.8+
148 reviews
4 hr
In this four-hour course, you’ll learn the basics of analyzing time series data in Python.

Course

Reshaping Data with pandas

IntermediateSkill Level
4.7+
859 reviews
4 hr
Reshape DataFrames from a wide to long format, stack and unstack rows and columns, and wrangle multi-index DataFrames.

Course

Cleaning Data in R

IntermediateSkill Level
4.7+
844 reviews
4 hr
Learn to clean data as quickly and accurately as possible to help you move from raw data to awesome insights.

Course

Data Manipulation in Snowflake

BasicSkill Level
4.8+
1,136 reviews
2 hr
Master data manipulation and analysis techniques such as CASE statements, subqueries, and CTEs in Snowflake.

Course

Data Visualization in Tableau

BasicSkill Level
4.7+
885 reviews
6 hr
Data visualization is one of the most desired skills for data analysts. This course allows you to present your findings better using Tableau.

Course

Sampling in R

IntermediateSkill Level
4.7+
899 reviews
4 hr
Master sampling to get more accurate statistics with less data.

Course

Data Visualization in Databricks

BasicSkill Level
4.8+
678 reviews
3 hr
Create visualizations and dynamic dashboards with Databricks, turning raw data into clear and actionable insights.

Course

A/B Testing in Python

IntermediateSkill Level
4.7+
389 reviews
4 hr
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.

Course

Data Transformation with Polars

IntermediateSkill Level
4.8+
151 reviews
4 hr
Take Polars further with text manipulation, rolling statistics, DataFrame joins, and advanced analytics.

Course

Introduction to Oracle SQL

BasicSkill Level
4.8+
272 reviews
4 hr
Sharpen your skills in Oracle SQL including SQL basics, aggregating, combining, and customizing data.

Course

Pivot Tables in Google Sheets

BasicSkill Level
4.8+
230 reviews
2 hr
Learn how to create pivot tables and quickly organize thousands of data points with just a few clicks.

Course

Data Transformation in Alteryx

BasicSkill Level
4.8+
835 reviews
2 hr
Unlock Alteryx for data transformation, mastering Crosstab, Transpose, and workflow optimization in this interactive course.

Course

Introduction to Spark SQL in Python

AdvancedSkill Level
4.7+
204 reviews
4 hr
Learn how to manipulate data and create machine learning feature sets in Spark using SQL in Python.

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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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