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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+
1.618 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

Data Manipulation in Alteryx

TemelBeceri Seviyesi
4.8+
628 inceleme
3 sa
Orchestrate data using unions, joins, parsing, and performance optimization in Alteryx.

Kurs

pandas ile Veriyi Yeniden Şekillendirme

Orta SeviyeBeceri Seviyesi
4.7+
784 inceleme
4 sa
Reshape DataFrames from a wide to long format, stack and unstack rows and columns, and wrangle multi-index DataFrames.

Kurs

Google Sheets ile İstatistiğe Giriş

TemelBeceri Seviyesi
4.8+
577 inceleme
4 sa
Learn how to leverage statistical techniques using spreadsheets to more effectively work with and extract insights from your data.

Kurs

Manipulating Time Series Data in R

Orta SeviyeBeceri Seviyesi
4.8+
283 inceleme
4 sa
Master time series data manipulation in R, including importing, summarizing and subsetting, with zoo, lubridate and xts.

Kurs

Tableau'da Hesaplamalar

İleri SeviyeBeceri Seviyesi
4.7+
651 inceleme
6 sa
Bu etkileşimli kursta, Tableau hesaplamalarınızda fonksiyonları nasıl kullanacağınızı ve ne zaman kullanmanız gerektiğini öğreneceksiniz!

Kurs

Python ile A/B Testi

Orta SeviyeBeceri Seviyesi
4.7+
355 inceleme
4 sa
Learn the practical uses of A/B testing in Python to run and analyze experiments. Master p-values, sanity checks, and analysis to guide business decisions.

Kurs

Introduction to Bioconductor in R

Orta SeviyeBeceri Seviyesi
4.7+
112 inceleme
4 sa
Learn to use essential Bioconductor packages for bioinformatics using datasets from viruses, fungi, humans, and plants!

Kurs

Oracle SQL'ye Giriş

TemelBeceri Seviyesi
4.8+
246 inceleme
4 sa
SQL temelleri, verilerin toplanması, birleştirilmesi ve özelleştirilmesi dahil olmak üzere Oracle SQL becerilerinizi geliştirin.

Kurs

Forecasting in R

TemelBeceri Seviyesi
4.9+
51 inceleme
5 sa
Learn how to make predictions about the future using time series forecasting in R including ARIMA models and exponential smoothing methods.

Kurs

Modeling with Data in the Tidyverse

Orta SeviyeBeceri Seviyesi
4.8+
228 inceleme
4 sa
Discover different types in data modeling, including for prediction, and learn how to conduct linear regression and model assessment measures in the Tidyverse.

Kurs

Dash ve Plotly ile Paneller Oluşturma

Orta SeviyeBeceri Seviyesi
4.8+
274 inceleme
4 sa
Dash ve Plotly ile etkileşimli ve içgörü açısından zengin gösterge panelleri oluşturmayı öğrenin.

Kurs

AI ile Orta Düzey SQL Sorgulama

TemelBeceri Seviyesi
4.8+
224 inceleme
3 sa
Verileri sıralama, gruplama, filtreleme ve kategorize etme sorguları oluşturan AI komutları yazarak SQL becerilerinizi geliştirin.

Kurs

Orta Düzey Google Sheets

TemelBeceri Seviyesi
4.8+
805 inceleme
4 sa
Expand your Google Sheets vocabulary by diving deeper into data types, including numeric data, logical data, and missing data.

Kurs

R ile Veri Bilimi için Lineer Cebir

Orta SeviyeBeceri Seviyesi
4.7+
133 inceleme
4 sa
Bu ders, veri biliminin temelini oluşturan en önemli matematik konularından biri olan doğrusal cebire giriş niteliğindedir.

Kurs

Foundations of Inference in R

Orta SeviyeBeceri Seviyesi
4.7+
52 inceleme
4 sa
Learn how to draw conclusions about a population from a sample of data via a process known as statistical inference.

Kurs

Visualizations in Sigma

TemelBeceri Seviyesi
4.8+
179 inceleme
2 sa
Learn to build and customize Sigma charts to tell clear, compelling data stories—no coding required.

Kurs

Snowflake'te Veri Türleri ve Fonksiyonlar

Orta SeviyeBeceri Seviyesi
4.8+
486 inceleme
3 sa
Özel işlevler ve pivot tablolar oluştururken metin, sayı ve tarihleri işlemek için Snowflake veri türlerini ve işlevlerini öğrenin.

Kurs

Python ile Spark SQL'e Giriş

İleri SeviyeBeceri Seviyesi
4.7+
146 inceleme
4 sa
Pythonda SQL kullanarak Sparkta verileri nasıl işleyebileceğinizi ve makine öğrenimi özellik kümeleri oluşturabileceğinizi öğrenin.

Kurs

Polars'a Giriş

TemelBeceri Seviyesi
4.8+
392 inceleme
3 sa
Hızlı veri işleme için Python kütüphanesi olan Polarsı kullanarak verileri verimli bir şekilde dönüştürmeyi, temizlemeyi ve analiz etmeyi öğrenin.

Kurs

Experimental Design in R

Orta SeviyeBeceri Seviyesi
4.7+
328 inceleme
4 sa
In this course youll learn about basic experimental design, a crucial part of any data analysis.

Kurs

Tableau'da İstatistiksel Teknikler

Orta SeviyeBeceri Seviyesi
4.8+
642 inceleme
4 sa
Tableaunun yerleşik istatistiksel işlevleriyle raporlama becerilerinizi bir üst düzeye taşıyın.

Kurs

Generalized Linear Models in R

Orta SeviyeBeceri Seviyesi
4.8+
191 inceleme
4 sa
The Generalized Linear Model course expands your regression toolbox to include logistic and Poisson regression.

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.

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.

    Diğer teknolojiler ve konular

    teknoloji

    konu

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