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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

БазовыйУровень мастерства
4.5+
3.2K
8 hours
Take your Tableau skills up a notch with advanced analytics and visualizations.

Track

Associate Data Analyst in SQL

53.8K
39 hours
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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Просмотрите курсы и направления обучения по Data Analysis

Course

Data Manipulation with dplyr

БазовыйУровень мастерства
4.5+
4.6K
4 hours
Build Tidyverse skills by learning how to transform and manipulate data with dplyr.

Course

Introduction to Statistics in R

СреднийУровень мастерства
4.4+
4.5K
4 hours
Grow your statistical skills and learn how to collect, analyze, and draw accurate conclusions from data.

Course

Introduction to Alteryx

БазовыйУровень мастерства
4.6+
4.3K
2 hours
Enter the world of Alteryx Designer and learn how to navigate the tool to load, prepare, and aggregate data.

Course

Intermediate Importing Data in Python

БазовыйУровень мастерства
4.6+
4.2K
2 hours
Improve your Python data importing skills and learn to work with web and API data.

Course

Intermediate DAX in Power BI

СреднийУровень мастерства
4.5+
4.2K
3 hours
Discover a wide range of DAX calculations and learn how to use them in Microsoft Power BI.

Course

Exploratory Data Analysis in Power BI

БазовыйУровень мастерства
4.5+
3.9K
3 hours
Learn how to build impactful reports with Power BI’s Exploratory Data Analysis (EDA) that uncover insights faster and drive business value.

Course

Case Study: HR Analytics in Power BI

БазовыйУровень мастерства
4.5+
3.9K
3 hours
Apply your skills to import, analyze and visualize Human Resources (HR) data using Power BI.

Course

Introduction to Regression in R

СреднийУровень мастерства
4.4+
3.8K
4 hours
Predict housing prices and ad click-through rate by implementing, analyzing, and interpreting regression analysis in R.

Course

Reports in Power BI

СреднийУровень мастерства
4.4+
3.8K
3 hours
Take your Power BI visualizations up a level with the skills you already have. Learn alternative data storytelling techniques to simply building dashboards.

Course

Data Connections in Power BI

БазовыйУровень мастерства
4.6+
3.4K
2 hours
Discover the different ways you can enhance your Power BI data importing skills.

Course

Trend Analysis in Power BI

СреднийУровень мастерства
4.5+
3.4K
3 hours
Enhance your reports with trend analysis techniques such as time series, decomposition trees, and key influencers.

Course

Report Design in Power BI

СреднийУровень мастерства
4.4+
3.4K
3 hours
Continue your data visualization journey where youll learn practical techniques for incorporating DAX measures and progressive disclosure in your reports.

Course

Deploying and Maintaining Assets in Power BI

СреднийУровень мастерства
4.4+
3.2K
2 hours
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

Analyzing Data in Tableau

БазовыйУровень мастерства
4.5+
3.2K
8 hours
Take your Tableau skills up a notch with advanced analytics and visualizations.

Course

Introduction to Google Sheets

БазовыйУровень мастерства
4.5+
3.1K
2 hours
Bring your Google Sheets to life by mastering fundamental skills such as formulas, operations, and cell references.

Course

Introduction to NumPy

БазовыйУровень мастерства
4.5+
2.8K
4 hours
Master your skills in NumPy by learning how to create, sort, filter, and update arrays using NYC’s tree census.

Course

Advanced Excel Functions

СреднийУровень мастерства
4.6+
2.6K
2 hours
Boost your Excel skills with advanced referencing, lookup, and database functions using practical exercises.

Course

Introduction to Importing Data in R

БазовыйУровень мастерства
4.5+
2.6K
3 hours
In this course, you will learn to read CSV, XLS, and text files in R using tools like readxl and data.table.

Course

Hypothesis Testing in Python

СреднийУровень мастерства
4.5+
2.4K
4 hours
Learn how and when to use common hypothesis tests like t-tests, proportion tests, and chi-square tests in Python.

Course

Dashboard Design Concepts

БазовыйУровень мастерства
4.5+
2.2K
2 hours
Learn the skills needed to create impactful dashboards. Understand dashboard design fundamentals, visual analytics components, and dashboard types.

Course

Creating Dashboards in Tableau

БазовыйУровень мастерства
4.5+
2.2K
3 hours
Dashboards are a must-have in a data-driven world. Increase your impact on business performance with Tableau dashboards.

Course

Sampling in Python

СреднийУровень мастерства
4.5+
2.2K
4 hours
Learn to draw conclusions from limited data using Python and statistics. This course covers everything from random sampling to stratified and cluster sampling.

Course

Exploratory Data Analysis in R

СреднийУровень мастерства
4.4+
1.9K
4 hours
Learn how to use graphical and numerical techniques to begin uncovering the structure of your data.

Course

Hypothesis Testing in R

СреднийУровень мастерства
4.3+
1.8K
4 hours
Learn how and when to use hypothesis testing in R, including t-tests, proportion tests, and chi-square tests.

Course

Joining Data with dplyr

БазовыйУровень мастерства
4.3+
1.8K
4 hours
Learn to combine data across multiple tables to answer more complex questions with dplyr.

Course

Web Scraping in Python

СреднийУровень мастерства
4.5+
1.7K
4 hours
Learn to retrieve and parse information from the internet using the Python library scrapy.

Course

Power Pivot in Excel

БазовыйУровень мастерства
4.6+
1.7K
3 hours
Master Power Pivot in Excel to help import data, create relationships, and utilize DAX. Build dynamic dashboards to uncover actionable insights.

Дополнительные материалы по теме Data Analysis

blog

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 мин

blog

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 мин

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.
Kurtis Pykes 's photo

Kurtis Pykes

11 мин

Ready to apply your skills?

Projects allow you to apply your knowledge to a wide range of datasets to solve real-world problems in your browser

    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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