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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

Datamanipulatie in KNIME

BasisVaardigheidsniveau
3 uur
225
Automate data manipulation with KNIME, mastering merging, aggregation, database workflows, and advanced file handling.

Cursus

Tijdreeksen visualiseren in R

GemiddeldVaardigheidsniveau
4 uur
222
Leer hoe je tijdreeksen kunt visualiseren in R en oefen vervolgens met een casestudy over het selecteren van aandelen.

Cursus

A/B-testen in R

GemiddeldVaardigheidsniveau
4 uur
215
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

Factoranalyse in R

GevorderdVaardigheidsniveau
4 uur
212
Ontdek verborgen dingen, zoals persoonlijkheid, met behulp van verkennende en bevestigende factoranalyses.

Cursus

Analyzing Social Media Data in Python

GemiddeldVaardigheidsniveau
4 uur
210
In this course, youll learn how to collect Twitter data and analyze Twitter text, networks, and geographical origin.

Cursus

Survivalanalyse in Python

GevorderdVaardigheidsniveau
4 uur
208
Gebruik overlevingsanalyse om met tijd-tot-gebeurtenisgegevens te werken en de overlevingstijd te voorspellen.

Cursus

Market Basket-analyse in R

GemiddeldVaardigheidsniveau
4 uur
178
Ontdek associatieregels in marktmandanalyse met R door retailgegevens te analyseren en filmaanbevelingen te maken.

Cursus

Time Series Analysis in PostgreSQL

GemiddeldVaardigheidsniveau
4 uur
175
Learn how to use PostgreSQL to handle time series analysis effectively and apply these techniques to real-world data.

Cursus

Tijdreeksanalyse in Tableau

GemiddeldVaardigheidsniveau
2 uur
172
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

Politie-activiteit analyseren met pandas

GemiddeldVaardigheidsniveau
4 uur
172
Check de dataset van het Stanford Open Policing Project en kijk met pandas hoe gender invloed heeft op hoe de politie zich gedraagt.

Cursus

Netwerkanalyse in R

GemiddeldVaardigheidsniveau
4 uur
168
Leer netwerkgegevens analyseren en visualiseren met het igraph-pakket en maak interactieve netwerkgrafieken met threejs.

Cursus

Casestudies in statistisch denken

GemiddeldVaardigheidsniveau
4 uur
140
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

Casestudy: Zorgdata analyseren in Tableau

GemiddeldVaardigheidsniveau
3 uur
136
Oefen met Tableau aan de hand van onze casestudy over de gezondheidszorg. Analyseer gegevens, ontdek inzichten over efficiëntie en bouw een dashboard.

Cursus

Discrete Event Simulation in Python

GevorderdVaardigheidsniveau
4 uur
136
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

Introductie tot anomaliedetectie in R

GemiddeldVaardigheidsniveau
4 uur
121
Leer statistische tests om uitschieters te vinden en hoe je slimme algoritmes voor het scoren van afwijkingen kunt gebruiken.

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30 Data Analytics Projects for All Levels in 2026

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13 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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