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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+
1,643 reviews
8 hr
Take your Tableau skills up a notch with advanced analytics and visualizations.

Track

Associate Data Analyst in SQL

4.7+
172 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

Introduction to Statistics in R

IntermediateSkill Level
4.7+
2,045 reviews
4 hr
Grow your statistical skills and learn how to collect, analyze, and draw accurate conclusions from data.

Course

DAX Functions in Power BI

BasicSkill Level
4.8+
4,552 reviews
3 hr
Data Analysis Expressions (DAX) allow you to take your Power BI skills to the next level by writing custom functions.

Course

Data Manipulation with dplyr

BasicSkill Level
4.8+
700 reviews
4 hr
Build Tidyverse skills by learning how to transform and manipulate data with dplyr.

Course

Intermediate DAX in Power BI

IntermediateSkill Level
4.8+
3,979 reviews
3 hr
Discover a wide range of DAX calculations and learn how to use them in Microsoft Power BI.

Course

Introduction to Regression in R

IntermediateSkill Level
4.8+
1,451 reviews
4 hr
Predict housing prices and ad click-through rate by implementing, analyzing, and interpreting regression analysis in R.

Course

Exploratory Data Analysis in Power BI

BasicSkill Level
4.8+
3,707 reviews
3 hr
Learn how to build impactful reports with Power BI’s Exploratory Data Analysis (EDA) that uncover insights faster and drive business value.

Course

Reports in Power BI

IntermediateSkill Level
4.7+
2,952 reviews
3 hr
Take your Power BI visualizations up a level with the skills you already have. Learn alternative data storytelling techniques to simply building dashboards.

Course

Advanced Excel Functions

IntermediateSkill Level
4.8+
1,166 reviews
2 hr
Boost your Excel skills with advanced referencing, lookup, and database functions using practical exercises.

Course

Introduction to NumPy

BasicSkill Level
4.8+
1,440 reviews
4 hr
Master your skills in NumPy by learning how to create, sort, filter, and update arrays using NYC’s tree census.

Course

Data Connections in Power BI

BasicSkill Level
4.8+
3,456 reviews
2 hr
Discover the different ways you can enhance your Power BI data importing skills.

Course

Trend Analysis in Power BI

IntermediateSkill Level
4.8+
3,229 reviews
3 hr
Enhance your reports with trend analysis techniques such as time series, decomposition trees, and key influencers.

Course

Analyzing Data in Tableau

BasicSkill Level
4.8+
1,643 reviews
8 hr
Take your Tableau skills up a notch with advanced analytics and visualizations.

Course

Hypothesis Testing in Python

IntermediateSkill Level
4.7+
3,472 reviews
4 hr
Learn how and when to use common hypothesis tests like t-tests, proportion tests, and chi-square tests in Python.

Course

Introduction to Google Sheets

BasicSkill Level
4.8+
1,875 reviews
2 hr
Bring your Google Sheets to life by mastering fundamental skills such as formulas, operations, and cell references.

Course

Deploying and Maintaining Assets in Power BI

IntermediateSkill Level
4.8+
3,118 reviews
2 hr
Learn how to deploy and maintain assets in Power BI. You’ll get to grips with the Power BI Service interface and key elements in it like workspaces.

Course

Report Design in Power BI

IntermediateSkill Level
4.7+
2,892 reviews
3 hr
Continue your data visualization journey where youll learn practical techniques for incorporating DAX measures and progressive disclosure in your reports.

Course

Dashboard Design Concepts

BasicSkill Level
4.7+
1,053 reviews
2 hr
Learn the skills needed to create impactful dashboards. Understand dashboard design fundamentals, visual analytics components, and dashboard types.

Course

Sampling in Python

IntermediateSkill Level
4.7+
3,676 reviews
4 hr
Learn to draw conclusions from limited data using Python and statistics. This course covers everything from random sampling to stratified and cluster sampling.

Course

Introduction to Importing Data in R

BasicSkill Level
4.7+
360 reviews
3 hr
In this course, you will learn to read CSV, XLS, and text files in R using tools like readxl and data.table.

Course

Creating Dashboards in Tableau

BasicSkill Level
4.8+
1,426 reviews
3 hr
Dashboards are a must-have in a data-driven world. Increase your impact on business performance with Tableau dashboards.

Course

Hypothesis Testing in R

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

Course

Web Scraping in Python

IntermediateSkill Level
4.7+
1,043 reviews
4 hr
Learn to retrieve and parse information from the internet using the Python library scrapy.

Course

Introduction to Sigma

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

Course

Power Pivot in Excel

BasicSkill Level
4.8+
1,435 reviews
3 hr
Master Power Pivot in Excel to help import data, create relationships, and utilize DAX. Build dynamic dashboards to uncover actionable insights.

Course

Exploratory Data Analysis in R

IntermediateSkill Level
4.7+
1,217 reviews
4 hr
Learn how to use graphical and numerical techniques to begin uncovering the structure of your data.

Related resources on Data Analysis

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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.
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Elena Kosourova

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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.
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Abid Ali Awan

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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.
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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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