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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

Курс

Анализ данных в Tableau

БазовыйУровень навыков
4.8+
1 680 отзывов
8 ч
Прокачайте навыки Tableau с помощью продвинутой аналитики и визуализаций.

Трек

Младший аналитик данных в SQL

4.7+
176 отзывов
39 ч
Получите навыки SQL, необходимые для выполнения запросов к базе данных, анализа результатов и становления Data Analyst, владеющим SQL. Предварительный опыт программирования не требуется!

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Просматривайте курсы и треки Data Analysis

Курс

Средний уровень сетевого анализа на Python

Продвинутый уровеньУровень навыков
4.8+
79 отзывов
4 ч
Анализируйте графики временных рядов, используйте двудольные графы и получите навыки для решения сложных задач в сетевой аналитике.

Курс

Практический пример: анализ запасов в Tableau

Средний уровеньУровень навыков
4.7+
64 отзыва
2 ч
Улучшите навыки Tableau с этим кейсом по анализу запасов. Анализируйте набор данных, создавайте вычисляемые поля и визуализации.

Курс

ChIP-seq с Bioconductor в R

Средний уровеньУровень навыков
4.7+
49 отзывов
4 ч
Научитесь анализировать и интерпретировать данные ChIP-seq с помощью Bioconductor на наборе данных по раку человека.

Курс

Programming with dplyr

Средний уровеньУровень навыков
4.7+
49 отзывов
4 ч
Learn how to perform advanced dplyr transformations and incorporate dplyr and ggplot2 code in functions.

Курс

Joining Data with data.table in R

Средний уровеньУровень навыков
4.8+
71 отзыв
4 ч
This course will show you how to combine and merge datasets with data.table.

Курс

Bayesian Regression Modeling with rstanarm

Продвинутый уровеньУровень навыков
4.8+
67 отзывов
4 ч
Learn how to leverage Bayesian estimation methods to make better inferences about linear regression models.

Курс

Анализ данных опросов на Python

Средний уровеньУровень навыков
4.6+
51 отзыв
4 ч
Научитесь анализировать данные опросов с помощью Python и определять, когда применять описательные и выводные статистические инструменты.

Курс

Practicing Statistics Interview Questions in R

Продвинутый уровеньУровень навыков
4.7+
22 отзыва
4 ч
In this course, youll prepare for the most frequently covered statistical topics from distributions to hypothesis testing, regression models, and much more.

Курс

Analyzing Social Media Data in R

Средний уровеньУровень навыков
4.8+
90 отзывов
4 ч
Extract and visualize Twitter data, perform sentiment and network analysis, and map the geolocation of your tweets.

Курс

Analyzing US Census Data in R

Средний уровеньУровень навыков
4.8+
37 отзывов
4 ч
Learn to rapidly visualize and explore demographic data from the United States Census Bureau using tidyverse tools.

Курс

Байесовское моделирование с RJAGS

Продвинутый уровеньУровень навыков
4.8+
49 отзывов
4 ч
В этом курсе вы узнаете, как реализовывать более продвинутые байесовские модели с помощью RJAGS.

Курс

Интерактивная визуализация данных с Bokeh

Средний уровеньУровень навыков
4.7+
42 отзыва
4 ч
Научитесь создавать интерактивные визуализации данных, включая создание и подключение виджетов с помощью Bokeh!

Курс

Прогнозирование спроса на продукты в R

Средний уровеньУровень навыков
4.7+
30 отзывов
4 ч
Научитесь выявлять ключевые факторы спроса, учитывать сезонность и прогнозировать спрос для иерархии продуктов на реальном примере.

Курс

Data Manipulation in Julia

БазовыйУровень навыков
4.8+
40 отзывов
4 ч
Master the essential skills of data manipulation in Julia. Learn how to inspect, transform, group, and visualize DataFrames using real-world datasets.

Курс

Смесевые модели в R

Средний уровеньУровень навыков
4.7+
25 отзывов
4 ч
Изучите модели смесей: удобный и формальный статистический фреймворк для вероятностной кластеризации и классификации.

Курс

Введение в визуализацию данных с Julia

Средний уровеньУровень навыков
4.8+
30 отзывов
4 ч
Освойте визуализацию данных в Julia. Научитесь создавать эффектные графики и понимать, когда и как их использовать.

Курс

Introduction to Anomaly Detection in R

Средний уровеньУровень навыков
4.8+
26 отзывов
4 ч
Learn statistical tests for identifying outliers and how to use sophisticated anomaly scoring algorithms.

Курс

Building Response Models in R

Средний уровеньУровень навыков
4.8+
30 отзывов
4 ч
Learn to build simple models of market response to increase the effectiveness of your marketing plans.

Курс

Задачи по теории вероятностей на R

БазовыйУровень навыков
4.7+
67 отзывов
4 ч
Изучите стратегии ответа на вопросы по вероятности в R, решая различные задачи на вероятность.

Связанные ресурсы по теме Data Analysis

блог

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

блог

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

Учебное руководство

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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