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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

Kurs

Tableau'da Veri Analizi

TemelBeceri Seviyesi
4.8+
1.619 inceleme
8 sa
Gelişmiş analitik ve görselleştirme özellikleriyle Tableau becerilerinizi bir üst seviyeye taşıyın.

Program

Yardımcı Veri Analisti SQL içinde

4.7+
172 inceleme
39 sa
Bir veritabanını sorgulamak, sonuçları analiz etmek ve SQL konusunda yetkin bir Veri Analisti olmak için ihtiyacınız olan SQL becerilerini kazanın. Önceden kodlama deneyimi gerekmez!

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Data Analysis kurs ve programlarına göz atın

Kurs

Vaka Çalışması: Tableau ile Envanter Analizi

Orta SeviyeBeceri Seviyesi
4.7+
59 inceleme
2 sa
Enhance your Tableau skills with this case study on inventory analysis. Analyze a dataset, create calculated fields, and create visualizations.

Kurs

R ile İstatistik Mülakat Soruları Pratiği

İleri SeviyeBeceri Seviyesi
4.7+
21 inceleme
4 sa
Bu kursta, dağılımlardan hipotez testine, regresyon modellerine ve çok daha fazlasına kadar en sık işlenen istatistik konularına hazırlanacaksınız.

Kurs

R ile Bioconductor kullanarak ChIP-seq

Orta SeviyeBeceri Seviyesi
4.7+
48 inceleme
4 sa
İnsan kanseri veri setini kullanarak Bioconductor yardımıyla ChIP-seq verilerini analiz etme ve yorumlama yöntemlerini öğrenin.

Kurs

R'de data.table ile Veri Birleştirme

Orta SeviyeBeceri Seviyesi
4.8+
71 inceleme
4 sa
Bu kurs, data.table ile veri kümelerini birleştirme ve birleştirme yöntemlerini gösterecektir.

Kurs

R ile Sosyal Medya Verilerini Analiz Etme

Orta SeviyeBeceri Seviyesi
4.8+
87 inceleme
4 sa
Twitter verilerini çıkarın ve görselleştirin, duygu ve ağ analizi yapın ve tweetlerinizin coğrafi konumunu haritalayın.

Kurs

Python ile Orta Düzey Ağ (Network) Analizi

İleri SeviyeBeceri Seviyesi
4.8+
77 inceleme
4 sa
Zaman serisi grafiklerini analiz edin, iki parçalı grafikleri kullanın ve ağ analizinde ileri düzey sorunları çözme becerilerini kazanın.

Kurs

Python ile Anket Verilerini Analiz Etme

Orta SeviyeBeceri Seviyesi
4.6+
51 inceleme
4 sa
Learn how to analyze survey data with Python and discover when it is appropriate to apply statistical tools that are descriptive and inferential in nature.

Kurs

dplyr ile Programlama

Orta SeviyeBeceri Seviyesi
4.7+
47 inceleme
4 sa
Gelişmiş dplyr dönüşümlerini gerçekleştirmeyi ve dplyr ve ggplot2 kodunu işlevlere dahil etmeyi öğrenin.

Kurs

Bayesian Modeling with RJAGS

İleri SeviyeBeceri Seviyesi
4.8+
48 inceleme
4 sa
In this course, youll learn how to implement more advanced Bayesian models using RJAGS.

Kurs

Data Manipulation in Julia

TemelBeceri Seviyesi
4.7+
39 inceleme
4 sa
Master the essential skills of data manipulation in Julia. Learn how to inspect, transform, group, and visualize DataFrames using real-world datasets.

Kurs

R ile Ürün Talebi Tahmini

Orta SeviyeBeceri Seviyesi
4.6+
29 inceleme
4 sa
Önemli talep faktörlerini belirlemeyi öğrenin, mevsimsel etkileri inceleyin ve gerçek bir örnekten ürün hiyerarşisi için talebi tahmin edin.

Kurs

R ile Anomali Tespitine Giriş

Orta SeviyeBeceri Seviyesi
4.8+
26 inceleme
4 sa
Aykırı değerleri belirlemek için istatistiksel testleri ve gelişmiş anomali puanlama algoritmalarını kullanmayı öğrenin.

Kurs

R ile Tepki Modelleri Oluşturma

Orta SeviyeBeceri Seviyesi
4.8+
29 inceleme
4 sa
Pazarlama planlarınızın etkinliğini artırmak için pazar tepkisinin basit modellerini oluşturmayı öğrenin.

Kurs

Mixture Models in R

Orta SeviyeBeceri Seviyesi
4.7+
23 inceleme
4 sa
Learn mixture models: a convenient and formal statistical framework for probabilistic clustering and classification.

Kurs

Probability Puzzles in R

TemelBeceri Seviyesi
4.8+
66 inceleme
4 sa
Learn strategies for answering probability questions in R by solving a variety of probability puzzles.

Kurs

Case Studies: Network Analysis in R

TemelBeceri Seviyesi
4.7+
44 inceleme
4 sa
Apply fundamental concepts in network analysis to large real-world datasets in 4 different case studies.

Data Analysis ile ilgili kaynaklar

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 dk.

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 dk.

Eğitim

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 dk.

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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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