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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+
3.1K
8 saat
Gelişmiş analitik ve görselleştirme özellikleriyle Tableau becerilerinizi bir üst seviyeye taşıyın.

Program

Yardımcı Veri Analisti SQL içinde

52.7K
39 saat
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

Power BI'de Python'a Giriş

Orta SeviyeBeceri Seviyesi
4.8+
358
3 saat
Power BIda veri hazırlama, görselleştirme ve korelasyon katsayılarını hesaplama için Python komut dosyalarını kullanmayı öğrenin.

Kurs

Calculations in Sigma

TemelBeceri Seviyesi
4.9+
354
2 saat
Build dynamic Sigma calculations to explore data, automate logic, and uncover trends with practical business examples.

Kurs

Python ile Konuşma Dili İşleme

İleri SeviyeBeceri Seviyesi
4.8+
354
4 saat
Pythonda ham ses dosyalarından konuşmayı yüklemeyi, dönüştürmeyi ve transkripsiyonunu yapmayı öğrenin.

Kurs

Power BI'de Zaman Serisi Analizi

Orta SeviyeBeceri Seviyesi
4.8+
347
5 saat
Learn to analyze data over time with this practical course on Time Series Analysis in Power BI. Work with real datasets & practice common techniques.

Kurs

Power BI ile Beyzbol Veri Görselleştirme

TemelBeceri Seviyesi
4.8+
344
1 saat
Discover how to analyze and visualize baseball data using Power BI. Create scatter plots, tornado charts, and gauges to bring baseball insights alive.

Kurs

İK Analitiği: R ile Çalışan Verilerini Keşfetme

Orta SeviyeBeceri Seviyesi
4.8+
344
5 saat
Bir dizi İK analitiği vaka çalışması aracılığıyla istatistiksel testleri nasıl manipüle edeceğinizi, görselleştireceğinizi ve gerçekleştireceğinizi öğrenin.

Kurs

Case Study: Inventory Analysis in Power BI

Orta SeviyeBeceri Seviyesi
4.7+
333
5 saat
This Power BI case study follows a real-world business use case on tackling inventory analysis using DAX and visualizations.

Kurs

Tidyverse'te Kategorik Veriler

TemelBeceri Seviyesi
4.7+
307
4 saat
Sınıflandırmaya hazır olun! Bu kursta, Tidyverse ortamını kullanarak iş unvanları veya anket yanıtları gibi sayısal olmayan verilerle çalışacaksınız.

Kurs

Python ile İstatistik Mülakat Soruları Pratiği

İleri SeviyeBeceri Seviyesi
4.7+
298
4 saat
Koşullu olasılıklar, A/B testi, önyargı-varyans dengesi ve daha fazlası gibi kavramları gözden geçirerek bir sonraki istatistik mülakatına hazırlanın.

Kurs

R ile Kategorik Verilerde Çıkarım

İleri SeviyeBeceri Seviyesi
4.7+
296
4 saat
Bu kursta, kategorik verilerle çalışmak için istatistiksel tekniklerden nasıl yararlanabileceğinizi öğreneceksiniz.

Kurs

R ile Faktör Analizi

İleri SeviyeBeceri Seviyesi
4.7+
296
4 saat
Keşifsel ve doğrulayıcı faktör analizlerini kullanarak kişilik gibi gizil değişkenleri keşfedin.

Kurs

R ile Anket Verilerini Analiz Etme

Orta SeviyeBeceri Seviyesi
4.8+
294
4 saat
Yaygın tasarım yapılarını kullanarak anket tasarımı öğrenin, ardından anket sonuçlarını görselleştirin ve analiz edin.

Kurs

A/B Testing in R

Orta SeviyeBeceri Seviyesi
4.8+
290
4 saat
Learn the basics of A/B testing in R, including how to design experiments, analyze data, predict outcomes, and present results through visualizations.

Kurs

KNIME'da Veri Dönüştürme

TemelBeceri Seviyesi
4.8+
260
2 saat
Veri dönüştürme, sütun işlemleri ve iş akışı optimizasyonu konularını içeren kursumuzla KNIME becerilerinizi geliştirin.

Kurs

Advanced Probability: Uncertainty in Data

İleri SeviyeBeceri Seviyesi
4.8+
260
2 saat
Develop a better intuition for advanced probability, risk assessment, and simulation techniques to make data-driven business decisions with confidence.

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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    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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