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

Leerpad

Medewerker data-analist in SQL

4.7+
181 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

Georuimtelijke data visualiseren in R

GemiddeldVaardigheidsniveau
4.5+
87 reviews
4 u
Leer ruimtelijke gegevens lezen, verkennen en bewerken, en gebruik je vaardigheden om informatieve kaarten te maken met R.

Cursus

Inferentie voor numerieke data in R

GevorderdVaardigheidsniveau
4.8+
108 reviews
4 u
In deze cursus leer je manieren om statistische conclusies te trekken uit cijfermatige gegevens.

Cursus

Statisticale simulatie in Python

GemiddeldVaardigheidsniveau
4.8+
28 reviews
4 u
Leer steeds complexere problemen oplossen door simulaties te gebruiken om gegevens te genereren en te analyseren.

Cursus

Basis van inferentie in Python

GevorderdVaardigheidsniveau
4.8+
228 reviews
4 u
Doe praktische ervaring op met het trekken van goede conclusies op basis van data in deze vier uur durende cursus over statistische inferentie in Python.

Cursus

Casestudies in statistisch denken

GemiddeldVaardigheidsniveau
4.9+
85 reviews
4 u
Zet belangrijke stappen op weg naar meesterschap door je statistische denkvaardigheden toe te passen op echte datasets en daar bruikbare inzichten uit te halen.

Cursus

Marketinganalyse in Tableau

GemiddeldVaardigheidsniveau
4.8+
89 reviews
6 u
Word een expert in marketinganalyse met Tableau. Kijk hoe je presteert, vergelijk met anderen en verbeter je strategieën voor alle kanalen.

Cursus

Survivalanalyse in Python

GevorderdVaardigheidsniveau
4.7+
72 reviews
4 u
Gebruik overlevingsanalyse om met tijd-tot-gebeurtenisgegevens te werken en de overlevingstijd te voorspellen.

Cursus

Politie-activiteit analyseren met pandas

GemiddeldVaardigheidsniveau
4.8+
27 reviews
4 u
Check de dataset van het Stanford Open Policing Project en kijk met pandas hoe gender invloed heeft op hoe de politie zich gedraagt.

Cursus

Discrete Event Simulation in Python

GevorderdVaardigheidsniveau
4.7+
72 reviews
4 u
Ontdek hoe je met discrete-event simulatie je bedrijfsprocessen kunt verbeteren. Leer hoe je digitale tweelingen kunt maken met het SimPy-pakket van Python.

Cursus

Tijdreeksanalyse in PostgreSQL

GemiddeldVaardigheidsniveau
4.8+
93 reviews
4 u
Leer hoe je PostgreSQL gebruikt om time series analysis effectief uit te voeren en deze technieken toe te passen op praktijkdata.

Cursus

Tijdreeksanalyse in Tableau

GemiddeldVaardigheidsniveau
4.7+
159 reviews
2 u
In this course, you’ll learn to classify, treat and analyze time series; an absolute must, if you’re serious about stepping up as an analytics professional.

Cursus

Gegevens manipuleren met data.table in R

BasisVaardigheidsniveau
4.6+
22 reviews
4 u
Leer de belangrijkste dingen over het bewerken van data, zoals filteren, selecteren en groepsstatistieken maken met data.table.

Cursus

Generalized Linear Models in Python

GevorderdVaardigheidsniveau
4.7+
145 reviews
5 u
Breid je regressietoolbox uit met de logistieke en Poisson-modellen en leer hoe je ze kunt trainen, begrijpen en valideren, en hoe je voorspellingen kunt doen.

Cursus

Casestudy: Supply Chain-analytics in Tableau

GemiddeldVaardigheidsniveau
4.7+
72 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

Datamanipulatie in KNIME

BasisVaardigheidsniveau
4.8+
247 reviews
3 u
Automate data manipulation with KNIME, mastering merging, aggregation, database workflows, and advanced file handling.

Cursus

A/B-testen in R

GemiddeldVaardigheidsniveau
4.8+
91 reviews
4 u
Leer de basis van A/B-testen in R, zoals hoe je experimenten opzet, gegevens analyseert, resultaten voorspelt en uitkomsten laat zien met visualisaties.

Cursus

Programmeren met dplyr

GemiddeldVaardigheidsniveau
4.8+
50 reviews
4 u
Leer hoe je geavanceerde dplyr-transformaties kunt uitvoeren en dplyr- en ggplot2-code in functies kunt gebruiken.

Cursus

Gemiddelde netwerkanalyse in Python

GevorderdVaardigheidsniveau
4.8+
79 reviews
4 u
Analyseer tijdreeksgrafieken, gebruik bipartiete grafieken en ontwikkel de vaardigheden om geavanceerde problemen in netwerkanalyse aan te pakken.

Gerelateerde bronnen over Data Analysis

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 min

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 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.
Kurtis Pykes 's photo

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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