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

Leerpad

Junior data-analist in SQL

4.7+
199 reviews
39 u
Ontwikkel de SQL-vaardigheden die je nodig hebt om databases te doorzoeken, resultaten te analyseren en een data-analist te worden die vaardig is in SQL. Je hebt geen eerdere programmeerervaring nodig!

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Bekijk Data Analysis cursussen en leerpaden

Cursus

Vensterfuncties in Snowflake

GemiddeldVaardigheidsniveau
4.8+
602 reviews
3 u
Ontdek Snowflake-vensterfuncties om lastige dataproblemen op te lossen met ranglijsten, partities en doorlopende berekeningen.

Cursus

RNA-Seq met Bioconductor in R

GemiddeldVaardigheidsniveau
4.7+
160 reviews
4 u
Gebruik RNA-Seq differentiële expressieanalyse om genen te vinden die waarschijnlijk belangrijk zijn voor verschillende ziekten of aandoeningen.

Cursus

Survivalanalyse in R

GemiddeldVaardigheidsniveau
4.7+
225 reviews
4 u
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

ARIMA-modellen in R

BasisVaardigheidsniveau
4.8+
342 reviews
4 u
Word een expert in het toepassen van ARIMA-modellen (autoregressive integrated moving average) op tijdreeksgegevens met behulp van R.

Cursus

Generalized Linear Models in R

GemiddeldVaardigheidsniveau
4.8+
221 reviews
4 u
De cursus Generalized Linear Model breidt je regressietoolbox uit met logistische en Poisson-regressie.

Cursus

Georuimtelijke data visualiseren in R

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

Cursus

Statisticale simulatie in Python

GemiddeldVaardigheidsniveau
4.9+
33 reviews
4 u
Leer steeds complexere problemen oplossen door simulaties te gebruiken om gegevens te genereren en te analyseren.

Cursus

Feature Engineering met PySpark

GevorderdVaardigheidsniveau
4.8+
328 reviews
4 u
Leer de fijne kneepjes die data scientists 70-80% van hun tijd besteden aan: data wrangling en feature engineering.

Cursus

Basis van inferentie in Python

GevorderdVaardigheidsniveau
4.8+
259 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

Enquêtedata analyseren in R

GemiddeldVaardigheidsniveau
4.8+
235 reviews
4 u
Leer hoe je een enquête opzet met veelgebruikte ontwerpen, en daarna de resultaten bekijken en analyseren.

Cursus

Casestudy: Voorraadanalyse in Power BI

GemiddeldVaardigheidsniveau
4.7+
194 reviews
5 u
Deze Power BI-casestudy laat zien hoe je in het echte leven voorraadanalyse kunt aanpakken met DAX en visualisaties.

Cursus

Datatransformatie in KNIME

BasisVaardigheidsniveau
4.8+
319 reviews
2 u
Versterk je KNIME-vaardigheden met onze cursus over datatransformatie, kolombewerkingen en workflowoptimalisatie.

Cursus

Geavanceerde kansrekening: Onzekerheid in data

GevorderdVaardigheidsniveau
4.8+
188 reviews
2 u
Neem vol vertrouwen datagedreven bedrijfsbeslissingen met intuïtie voor geavanceerde kansrekening, risicobeoordeling en simulatietechnieken.

Cursus

Casestudy: Exploratory Data Analysis in R

BasisVaardigheidsniveau
4.9+
51 reviews
4 u
Gebruik je vaardigheden in het bewerken en visualiseren van gegevens om de stemgeschiedenis van de Algemene Vergadering van de Verenigde Naties te bekijken.

Cursus

Gegevens manipuleren met data.table in R

BasisVaardigheidsniveau
4.7+
25 reviews
4 u
Leer de belangrijkste dingen over het bewerken van data, zoals filteren, selecteren en groepsstatistieken maken met data.table.

Cursus

Socialemediagegevens analyseren in R

GemiddeldVaardigheidsniveau
4.8+
100 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

Generalized Linear Models in Python

GevorderdVaardigheidsniveau
4.7+
154 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

Inferentie voor numerieke data in R

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

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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