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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

Cursus

Gegevens analyseren in Tableau

BasisVaardigheidsniveau
4.8+
1.617 reviews
8 u
Til je Tableau-vaardigheden naar een hoger niveau met geavanceerde analyses en visualisaties.

Leerpad

Medewerker data-analist in SQL

4.7+
172 reviews
39 u
Leer de SQL-vaardigheden die je nodig hebt om een database te doorzoeken, de resultaten te analyseren en een goede SQL-data-analist te worden. Je hoeft niet te kunnen programmeren!

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Cursus

Casestudy: Supply Chain-analytics in Tableau

GemiddeldVaardigheidsniveau
4.7+
67 reviews
4 u
Duik in onze Tableau-casestudy over supply chain-analyse. Pak verzending, voorraadbeheer en het maken van dashboards aan om je bedrijf te verbeteren.

Cursus

Casestudy: voorraad­analyse in Tableau

GemiddeldVaardigheidsniveau
4.7+
57 reviews
2 u
Verbeter je Tableau-vaardigheden met deze casestudy over voorraadanalyse. Bekijk een dataset, maak berekende velden en maak visualisaties.

Cursus

ChIP-seq with Bioconductor in R

GemiddeldVaardigheidsniveau
4.7+
48 reviews
4 u
Learn how to analyse and interpret ChIP-seq data with the help of Bioconductor using a human cancer dataset.

Cursus

Casestudy: Zorgdata analyseren in Tableau

GemiddeldVaardigheidsniveau
4.7+
65 reviews
3 u
Oefen met Tableau aan de hand van onze casestudy over de gezondheidszorg. Analyseer gegevens, ontdek inzichten over efficiëntie en bouw een dashboard.

Cursus

Socialemediagegevens analyseren in R

GemiddeldVaardigheidsniveau
4.8+
86 reviews
4 u
Haal Twitter-gegevens op en laat ze zien, doe sentiment- en netwerkanalyses en breng de locatie van je tweets in kaart.

Cursus

Intermediate Network Analysis in Python

GevorderdVaardigheidsniveau
4.8+
77 reviews
4 u
Analyze time series graphs, use bipartite graphs, and gain the skills to tackle advanced problems in network analytics.

Cursus

Enquètegegevens analyseren in Python

GemiddeldVaardigheidsniveau
4.6+
51 reviews
4 u
Leer hoe je enquêtegegevens kunt analyseren met Python en ontdek wanneer het handig is om statistische tools te gebruiken die beschrijvend en inferentieel zijn.

Cursus

Casestudy: fitnessdata analyseren in Alteryx

GemiddeldVaardigheidsniveau
4.8+
55 reviews
3 u
Verbeter je Alteryx-vaardigheden met echte fitnessgegevens om gerichte marketingstrategieën en innovatieve producten te ontwikkelen!

Cursus

Programmeren met dplyr

GemiddeldVaardigheidsniveau
4.7+
47 reviews
4 u
Leer hoe je geavanceerde dplyr-transformaties kunt uitvoeren en dplyr- en ggplot2-code in functies kunt gebruiken.

Cursus

Multivariate kansverdelingen in R

GemiddeldVaardigheidsniveau
4.7+
39 reviews
4 u
Leer hoe je multivariate gegevens kunt analyseren, in kaart brengen en modelleren.

Cursus

Bayesiaans modelleren met RJAGS

GevorderdVaardigheidsniveau
4.8+
48 reviews
4 u
In deze cursus leer je hoe je met RJAGS meer geavanceerde Bayesiaanse modellen kunt maken.

Cursus

Analyzing US Census Data in R

GemiddeldVaardigheidsniveau
4.8+
37 reviews
4 u
Learn to rapidly visualize and explore demographic data from the United States Census Bureau using tidyverse tools.

Cursus

Data manipulatie in Julia

BasisVaardigheidsniveau
4.7+
39 reviews
4 u
Leer de basisvaardigheden van datamanipulatie in Julia. Ontdek hoe je DataFrames kunt bekijken, veranderen, groeperen en visualiseren met echte datasets.

Cursus

Interactieve datavisualisatie met Bokeh

GemiddeldVaardigheidsniveau
4.7+
41 reviews
4 u
Leer hoe je interactieve datavisualisaties kunt maken, inclusief het bouwen en koppelen van widgets met Bokeh!

Cursus

Vraag naar producten voorspellen in R

GemiddeldVaardigheidsniveau
4.6+
29 reviews
4 u
Learn how to identify important drivers of demand, look at seasonal effects, and predict demand for a hierarchy of products from a real world example.

Cursus

Introductie tot anomaliedetectie in R

GemiddeldVaardigheidsniveau
4.8+
26 reviews
4 u
Leer statistische tests om uitschieters te vinden en hoe je slimme algoritmes voor het scoren van afwijkingen kunt gebruiken.

Cursus

Responsmodellen bouwen in R

GemiddeldVaardigheidsniveau
4.8+
29 reviews
4 u
Leer simpele modellen maken van hoe de markt reageert om je marketingplannen nog beter te maken.

Cursus

Introductie tot datavisualisatie met Julia

GemiddeldVaardigheidsniveau
4.7+
29 reviews
4 u
Word een expert in het visualiseren van gegevens in Julia. Leer hoe je mooie grafieken kunt maken en begrijp wanneer en hoe je ze moet gebruiken.

Cursus

Mixture Models in R

GemiddeldVaardigheidsniveau
4.7+
23 reviews
4 u
Leer over mengmodellen: een handig en formeel statistisch kader voor probabilistische clustering en classificatie.

Cursus

Kanspuzzels in R

BasisVaardigheidsniveau
4.8+
66 reviews
4 u
Leer strategieën om kansberekeningen in R op te lossen door verschillende kansberekeningspuzzels te doen.

Cursus

Predictive Analytics met netwerkgdata in R

GemiddeldVaardigheidsniveau
4.8+
32 reviews
4 u
Leer labels van knooppunten in netwerken te voorspellen met behulp van netwerkleren en door beschrijvende kenmerken uit het netwerk te halen.

Cursus

Casestudies: netwerkanalyse in R

BasisVaardigheidsniveau
4.7+
44 reviews
4 u
Pas de basisprincipes van netwerkanalyse toe op grote datasets uit de praktijk in 4 verschillende casestudys.

Gerelateerde bronnen over Data Analysis

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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.
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Elena Kosourova

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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.
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Abid Ali Awan

13 min

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.
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Kurtis Pykes

11 min

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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