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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
8 uur
3.2K

Leerpad

Medewerker data-analist in SQL

39 uur
56.8K
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

Lineaire algebra voor data science in R

GemiddeldVaardigheidsniveau
4 uur
817
Deze cursus is een inleiding tot lineaire algebra, een van de belangrijkste wiskundige onderwerpen die ten grondslag liggen aan datawetenschap.

Cursus

Vensterfuncties in Snowflake

GemiddeldVaardigheidsniveau
3 uur
816
Ontdek Snowflake-vensterfuncties om lastige dataproblemen op te lossen met ranglijsten, partities en doorlopende berekeningen.

Cursus

Introductie tot Oracle SQL

BasisVaardigheidsniveau
4 uur
807
Maak je Oracle SQL-vaardigheden nog beter, zoals de basis van SQL, gegevens samenvoegen, combineren en aanpassen.

Cursus

Draaitabellen in Google Sheets

BasisVaardigheidsniveau
2 uur
765
Leer hoe je draaitabellen kunt maken en snel duizenden gegevenspunten kunt ordenen met slechts een paar klikken.

Cursus

Berekeningen in Tableau

GevorderdVaardigheidsniveau
6 uur
723
In deze interactieve cursus leer je hoe je functies kunt gebruiken voor je Tableau-berekeningen en wanneer je ze moet gebruiken!

Cursus

Basis van kansrekening in R

BasisVaardigheidsniveau
4 uur
722
In deze cursus leer je over de concepten van willekeurige variabelen, verdelingen en conditionering.

Cursus

Gevorderde SQL-query’s met AI

BasisVaardigheidsniveau
3 uur
699
Leer SQL door AI-prompts te schrijven die queries maken voor het sorteren, groeperen, filteren en categoriseren van data.

Cursus

Datavisualisatie in Databricks

BasisVaardigheidsniveau
3 uur
679
Maak visualisaties en dynamische dashboards met Databricks, zodat je ruwe data omzet in duidelijke en bruikbare inzichten.

Cursus

Tijdreeksgegevens bewerken in R

GemiddeldVaardigheidsniveau
4 uur
634
Word een expert in het bewerken van tijdreeksgegevens in R, zoals importeren, samenvatten en subsets maken, met behulp van zoo, lubridate en xts.

Cursus

Introductie tot Bioconductor in R

GemiddeldVaardigheidsniveau
4 uur
634
Leer hoe je de belangrijkste Bioconductor-pakketten voor bio-informatica kunt gebruiken met datasets van virussen, schimmels, mensen en planten!

Cursus

Datatransformatie in Alteryx

BasisVaardigheidsniveau
2 uur
629
Ontdek Alteryx voor datatransformatie, leer Crosstab, Transpose en workflowoptimalisatie in deze interactieve cursus.

Cursus

Introductie tot Polars

BasisVaardigheidsniveau
3 uur
622
Leer hoe je gegevens efficiënt kunt transformeren, opschonen en analyseren met Polars, een Python-bibliotheek voor snelle gegevensmanipulatie.

Cursus

Data Processing in Shell

GemiddeldVaardigheidsniveau
4 uur
615
Learn powerful command-line skills to download, process, and transform data, including machine learning pipeline.

Cursus

Casestudy: zorgdata analyseren in Power BI

GemiddeldVaardigheidsniveau
4 uur
598
Oefen met Power BI aan de hand van onze casestudy over de gezondheidszorg. Analyseer gegevens, ontdek inzichten over efficiëntie en bouw een dashboard.

Cursus

Voorspellen in R

BasisVaardigheidsniveau
5 uur
582
Learn how to make predictions about the future using time series forecasting in R including ARIMA models and exponential smoothing methods.

Cursus

Introduction to Linear Modeling in Python

GemiddeldVaardigheidsniveau
4 uur
580
Explore the concepts and applications of linear models with python and build models to describe, predict, and extract insight from data patterns.

Cursus

Modelleren met data in de Tidyverse

GemiddeldVaardigheidsniveau
4 uur
572
Discover different types in data modeling, including for prediction, and learn how to conduct linear regression and model assessment measures in the Tidyverse.

Cursus

Gegevens manipuleren met data.table in R

BasisVaardigheidsniveau
4 uur
572
Leer de belangrijkste dingen over het bewerken van data, zoals filteren, selecteren en groepsstatistieken maken met data.table.

Cursus

Bayesian Data Analysis in Python

GemiddeldVaardigheidsniveau
4 uur
550
Ontdek alle voordelen van Bayesiaanse data-analyse en pas het toe op allerlei echte situaties!

Cursus

Data opschonen in PostgreSQL-databases

GemiddeldVaardigheidsniveau
4 uur
544
Leer hoe je je ruwe, rommelige data in een PostgreSQL-database kunt ordenen om nauwkeurige inzichten te krijgen.

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

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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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