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

Leerpad

Medewerker data-analist in SQL

4.7+
181 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

Visualizing Geospatial Data in Python

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

Cursus

Baseball-gegevens visualiseren in Power BI

BasisVaardigheidsniveau
4.8+
197 reviews
1 u
Discover how to analyze and visualize baseball data using Power BI. Create scatter plots, tornado charts, and gauges to bring baseball insights alive.

Cursus

Casestudy: Supply Chain Analytics in Power BI

BasisVaardigheidsniveau
4.8+
185 reviews
4 u
Learn how to use Power BI for supply chain analytics in this case study. Create a make vs. buy analysis tool, calculate costs, and analyze production volumes.

Cursus

Casestudy: e-commerceanalyse in Power BI

GemiddeldVaardigheidsniveau
4.8+
206 reviews
4 u
In e-commerce zijn meer omzet en lagere kosten essentieel. Analyseer data van een online dierenbenodigdhedenbedrijf met Power BI.

Cursus

Casestudy: Voorraadanalyse in Power BI

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

Cursus

ARIMA-modellen in R

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

Cursus

Survivalanalyse in R

GemiddeldVaardigheidsniveau
4.7+
198 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

Webscraping in R

GemiddeldVaardigheidsniveau
4.7+
99 reviews
4 u
Leer hoe je met R makkelijk gegevens van elke website kunt verzamelen en downloaden.

Cursus

Generalized Linear Models in R

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

Cursus

Casestudy: Exploratory Data Analysis in R

BasisVaardigheidsniveau
4.9+
49 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

Analyzing Social Media Data in Python

GemiddeldVaardigheidsniveau
4.8+
33 reviews
4 u
In this course, youll learn how to collect Twitter data and analyze Twitter text, networks, and geographical origin.

Cursus

Geavanceerde kansrekening: Onzekerheid in data

GevorderdVaardigheidsniveau
4.8+
155 reviews
2 u
Develop a better intuition for advanced probability, risk assessment, and simulation techniques to make data-driven business decisions with confidence.

Cursus

Categorische gegevens in de Tidyverse

BasisVaardigheidsniveau
4.7+
174 reviews
4 u
Maak je klaar om te categoriseren! In deze cursus werk je met niet-numerieke data, zoals functietitels of enquêteantwoorden, met het Tidyverse-landschap.

Cursus

Fout en onzekerheid in Google Sheets

GemiddeldVaardigheidsniveau
4.7+
153 reviews
4 u
Learn to distinguish real differences from random noise, and explore psychological crutches we use that interfere with our rational decision making.

Cursus

Analyzing IoT Data in Python

GemiddeldVaardigheidsniveau
4.8+
108 reviews
4 u
Learn how to import, clean and manipulate IoT data in Python to make it ready for machine learning.

Cursus

Netwerkanalyse in R

GemiddeldVaardigheidsniveau
4.7+
122 reviews
4 u
Leer netwerkgegevens analyseren en visualiseren met het igraph-pakket en maak interactieve netwerkgrafieken met threejs.

Cursus

Tijdreeksen visualiseren in R

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

Cursus

Omgaan met missende data met imputaties in R

GevorderdVaardigheidsniveau
4.7+
104 reviews
4 u
Diagnoseer, visualiseer en behandel ontbrekende gegevens met verschillende imputatietechnieken en tips om je resultaten te verbeteren.

Cursus

Communiceren met data in de Tidyverse

BasisVaardigheidsniveau
4.8+
198 reviews
4 u
Gebruik de kracht van tidyverse-tools om grafieken van publicatiekwaliteit en op maat gemaakte rapporten te maken die je resultaten goed laten zien.

Cursus

Market Basket-analyse in R

GemiddeldVaardigheidsniveau
4.8+
95 reviews
4 u
Ontdek associatieregels in marktmandanalyse met R door retailgegevens te analyseren en filmaanbevelingen te maken.

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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