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

Leerpad

Medewerker data-analist in SQL

4.7+
172 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

Basis van kansrekening in R

BasisVaardigheidsniveau
4.8+
445 reviews
4 u
In deze cursus leer je over de concepten van willekeurige variabelen, verdelingen en conditionering.

Cursus

Basis van kansrekening in Python

GemiddeldVaardigheidsniveau
4.8+
201 reviews
5 u
Leer de basisbegrippen van kansrekening, zoals willekeurige variabelen, gemiddelde en variantie, kansverdelingen en voorwaardelijke kansen.

Cursus

Data opschonen in PostgreSQL-databases

GemiddeldVaardigheidsniveau
4.8+
444 reviews
4 u
Leer hoe je je ruwe, rommelige data in een PostgreSQL-database kunt ordenen om nauwkeurige inzichten te krijgen.

Cursus

Vensterfuncties in Snowflake

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

Cursus

Intermediate Importing Data in R

GemiddeldVaardigheidsniveau
4.8+
269 reviews
3 u
Parse data in any format. Whether its flat files, statistical software, databases, or data right from the web.

Cursus

Omgaan met ontbrekende gegevens in R

BasisVaardigheidsniveau
4.7+
135 reviews
4 u
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: de arbeidsmarkt analyseren in Power BI

BasisVaardigheidsniveau
4.8+
319 reviews
4 u
Help een fictief bedrijf in deze interactieve Power BI-casestudy. Je gebruikt Power Query, DAX en dashboards om de meest gevraagde datataken te vinden!

Cursus

Tijdreeksen visualiseren in R

GemiddeldVaardigheidsniveau
4.8+
175 reviews
4 u
Leer hoe je tijdreeksen kunt visualiseren in R en oefen vervolgens met een casestudy over het selecteren van aandelen.

Cursus

Calculations in Sigma

BasisVaardigheidsniveau
4.9+
139 reviews
2 u
Build dynamic Sigma calculations to explore data, automate logic, and uncover trends with practical business examples.

Cursus

RNA-Seq met Bioconductor in R

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

Cursus

Je datavisualisaties verbeteren in Python

GemiddeldVaardigheidsniveau
4.7+
287 reviews
4 u
Leer hoe je boeiende en aantrekkelijke visualisaties kunt maken die helpen om resultaten efficiënt en effectief over te brengen.

Cursus

Visualizing Geospatial Data in Python

GemiddeldVaardigheidsniveau
4.7+
334 reviews
4 u
Learn how to make attractive visualizations of geospatial data in Python using the geopandas package and folium maps.

Cursus

Feature Engineering with PySpark

GevorderdVaardigheidsniveau
4.8+
287 reviews
4 u
Learn the gritty details that data scientists are spending 70-80% of their time on; data wrangling and feature engineering.

Cursus

Data Processing in Shell

GemiddeldVaardigheidsniveau
4.8+
488 reviews
4 u
Learn powerful command-line skills to download, process, and transform data, including machine learning pipeline.

Cursus

Factoranalyse in R

GevorderdVaardigheidsniveau
4.7+
150 reviews
4 u
Ontdek verborgen dingen, zoals persoonlijkheid, met behulp van verkennende en bevestigende factoranalyses.

Cursus

Anomaly Detection in Python

GemiddeldVaardigheidsniveau
4.8+
175 reviews
4 u
Detect anomalies in your data analysis and expand your Python statistical toolkit in this four-hour course.

Cursus

Bayesian Data Analysis in Python

GemiddeldVaardigheidsniveau
4.7+
252 reviews
4 u
Ontdek alle voordelen van Bayesiaanse data-analyse en pas het toe op allerlei echte situaties!

Cursus

Casestudy: e-commerceanalyse in Power BI

GemiddeldVaardigheidsniveau
4.8+
199 reviews
4 u
In ecommerce, increasing sales and reducing costs are key. Analyze data from an online pet supply company using Power BI.

Cursus

Casestudy: zorgdata analyseren in Power BI

GemiddeldVaardigheidsniveau
4.8+
267 reviews
4 u
Oefen met Power BI aan de hand van onze casestudy over de gezondheidszorg. Analyseer gegevens, ontdek inzichten over efficiëntie en bouw een dashboard.

Cursus

Tijdreeksanalyse in SQL Server

GemiddeldVaardigheidsniveau
4.7+
361 reviews
5 u
Ontdek manieren om met datum- en tijdgegevens te werken in SQL Server voor tijdreeksanalyse.

Cursus

Introductie tot netwerkanalyse in Python

GemiddeldVaardigheidsniveau
4.7+
210 reviews
4 u
Deze cursus leert je hoe je netwerken kunt analyseren, visualiseren en begrijpen met behulp van de NetworkX-bibliotheek.

Gerelateerde bronnen over Data Analysis

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How to Become a Data Analyst in 2026: 5 Steps to Start Your Career

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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.
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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.
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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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