Ga naar hoofdinhoud
Home

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.

Maak je gratis account aan

of

Door verder te gaan accepteer je onze Gebruiksvoorwaarden, ons Privacybeleid en dat je gegevens worden opgeslagen in de VS.
Group

Wil je 2 of meer mensen trainen?

Probeer DataCamp for Business

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!

Weet je niet waar je moet beginnen?

Doe Een Evaluatie

Bekijk Data Analysis cursussen en leerpaden

Cursus

Casestudy: Voorraadanalyse in Power BI

GemiddeldVaardigheidsniveau
5 uur
315
Deze Power BI-casestudy laat zien hoe je in het echte leven voorraadanalyse kunt aanpakken met DAX en visualisaties.

Cursus

Statisticale simulatie in Python

GemiddeldVaardigheidsniveau
4 uur
307
Leer steeds complexere problemen oplossen door simulaties te gebruiken om gegevens te genereren en te analyseren.

Cursus

Experimenteel ontwerp in R

GemiddeldVaardigheidsniveau
4 uur
307
In deze cursus leer je over basisprincipes van experimenteel ontwerp, een belangrijk onderdeel van elke data-analyse.

Cursus

Visualizations in Sigma

BasisVaardigheidsniveau
2 uur
305
Learn to build and customize Sigma charts to tell clear, compelling data stories—no coding required.

Cursus

Generalized Linear Models in R

GemiddeldVaardigheidsniveau
4 uur
298
De cursus Generalized Linear Model breidt je regressietoolbox uit met logistische en Poisson-regressie.

Cursus

Enquêtedata analyseren in R

GemiddeldVaardigheidsniveau
4 uur
280
Leer hoe je een enquête opzet met veelgebruikte ontwerpen, en daarna de resultaten bekijken en analyseren.

Cursus

Customer Analytics and A/B Testing in Python

GemiddeldVaardigheidsniveau
4 uur
277
Leer hoe je Python kunt gebruiken om A/B-tests te maken, uit te voeren en te analyseren, zodat je slimme zakelijke beslissingen kunt nemen.

Cursus

Basis van kansrekening in Python

GemiddeldVaardigheidsniveau
5 uur
274
Leer de basisbegrippen van kansrekening, zoals willekeurige variabelen, gemiddelde en variantie, kansverdelingen en voorwaardelijke kansen.

Cursus

Omgaan met ontbrekende gegevens in R

BasisVaardigheidsniveau
4 uur
270
Maak het makkelijk om ontbrekende gegevens te bekijken, te verkennen en in te vullen met naniar, een handige manier om met ontbrekende gegevens om te gaan.

Cursus

Casestudy: e-commerceanalyse in Power BI

GemiddeldVaardigheidsniveau
4 uur
268
In ecommerce, increasing sales and reducing costs are key. Analyze data from an online pet supply company using Power BI.

Cursus

Calculations in Sigma

BasisVaardigheidsniveau
2 uur
267
Build dynamic Sigma calculations to explore data, automate logic, and uncover trends with practical business examples.

Cursus

Georuimtelijke data visualiseren in R

GemiddeldVaardigheidsniveau
4 uur
259
Leer ruimtelijke gegevens lezen, verkennen en bewerken, en gebruik je vaardigheden om informatieve kaarten te maken met R.

Cursus

Fout en onzekerheid in Google Sheets

GemiddeldVaardigheidsniveau
4 uur
253
Learn to distinguish real differences from random noise, and explore psychological crutches we use that interfere with our rational decision making.

Cursus

Basis van inferentie in Python

GevorderdVaardigheidsniveau
4 uur
251
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

Marketinganalyse in Tableau

GemiddeldVaardigheidsniveau
6 uur
247
Word een expert in marketinganalyse met Tableau. Kijk hoe je presteert, vergelijk met anderen en verbeter je strategieën voor alle kanalen.

Cursus

Survivalanalyse in R

GemiddeldVaardigheidsniveau
4 uur
244
Learn to work with time-to-event data. The event may be death or finding a job after unemployment. Learn to estimate, visualize, and interpret survival models!

Cursus

Analyzing IoT Data in Python

GemiddeldVaardigheidsniveau
4 uur
243
Learn how to import, clean and manipulate IoT data in Python to make it ready for machine learning.

Cursus

Baseball-gegevens visualiseren in Power BI

BasisVaardigheidsniveau
1 uur
240
Discover how to analyze and visualize baseball data using Power BI. Create scatter plots, tornado charts, and gauges to bring baseball insights alive.

Cursus

Introductie tot netwerkanalyse in Python

GemiddeldVaardigheidsniveau
4 uur
240
Deze cursus leert je hoe je netwerken kunt analyseren, visualiseren en begrijpen met behulp van de NetworkX-bibliotheek.

Cursus

Geavanceerde kansrekening: Onzekerheid in data

GevorderdVaardigheidsniveau
2 uur
234
Develop a better intuition for advanced probability, risk assessment, and simulation techniques to make data-driven business decisions with confidence.

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.

    Andere technologieën en onderwerpen

    technologieën

    onderwerpen