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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

Baseball-gegevens visualiseren in Power BI

BasisVaardigheidsniveau
4.8+
183 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

Introductie tot Python in Power BI

GemiddeldVaardigheidsniveau
4.8+
143 reviews
3 u
Leer hoe je Python-scripts in Power BI kunt gebruiken voor het voorbereiden van gegevens, visualisaties en het berekenen van correlatiecoëfficiënten.

Cursus

Casestudy: Supply Chain Analytics in Power BI

BasisVaardigheidsniveau
4.8+
176 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

Best practices voor visualisaties in R

BasisVaardigheidsniveau
4.8+
302 reviews
1 u
Learn to effectively convey your data with an overview of common charts, alternative visualization types, and perception-driven style enhancements.

Cursus

Enquêtedata analyseren in R

GemiddeldVaardigheidsniveau
4.8+
211 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+
165 reviews
5 u
Deze Power BI-casestudy laat zien hoe je in het echte leven voorraadanalyse kunt aanpakken met DAX en visualisaties.

Cursus

Tijdreeksanalyse in Power BI

GemiddeldVaardigheidsniveau
4.8+
255 reviews
5 u
Learn to analyze data over time with this practical course on Time Series Analysis in Power BI. Work with real datasets & practice common techniques.

Cursus

Webscraping in R

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

Cursus

Data Transformation with Polars

GemiddeldVaardigheidsniveau
4.9+
37 reviews
4 u
Take Polars further with text manipulation, rolling statistics, DataFrame joins, and advanced analytics.

Cursus

Introduction to Linear Modeling in Python

GemiddeldVaardigheidsniveau
4.7+
214 reviews
4 u
Explore the concepts and applications of linear models with python and build models to describe, predict, and extract insight from data patterns.

Cursus

A/B-testen in R

GemiddeldVaardigheidsniveau
4.8+
90 reviews
4 u
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

Survivalanalyse in R

GemiddeldVaardigheidsniveau
4.7+
188 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

Customer Analytics and A/B Testing in Python

GemiddeldVaardigheidsniveau
4.7+
103 reviews
4 u
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

Netwerkanalyse in R

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

Cursus

Communiceren met data in de Tidyverse

BasisVaardigheidsniveau
4.8+
193 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

Geavanceerde kansrekening: Onzekerheid in data

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

Cursus

Inferentie voor numerieke data in R

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

Cursus

Casestudy: Exploratory Data Analysis in R

BasisVaardigheidsniveau
4.9+
48 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

Tijdreeksanalyse in Tableau

GemiddeldVaardigheidsniveau
4.7+
153 reviews
2 u
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.

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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