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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

Socialemediagegevens analyseren in R

GemiddeldVaardigheidsniveau
4 uur
110
Haal Twitter-gegevens op en laat ze zien, doe sentiment- en netwerkanalyses en breng de locatie van je tweets in kaart.

Cursus

Enquètegegevens analyseren in Python

GemiddeldVaardigheidsniveau
4 uur
109
Leer hoe je enquêtegegevens kunt analyseren met Python en ontdek wanneer het handig is om statistische tools te gebruiken die beschrijvend en inferentieel zijn.

Cursus

Intermediate Network Analysis in Python

GevorderdVaardigheidsniveau
4 uur
102
Analyze time series graphs, use bipartite graphs, and gain the skills to tackle advanced problems in network analytics.

Cursus

ChIP-seq with Bioconductor in R

GemiddeldVaardigheidsniveau
4 uur
101
Learn how to analyse and interpret ChIP-seq data with the help of Bioconductor using a human cancer dataset.

Cursus

Casestudy: Supply Chain-analytics in Tableau

GemiddeldVaardigheidsniveau
4 uur
97
Duik in onze Tableau-casestudy over supply chain-analyse. Pak verzending, voorraadbeheer en het maken van dashboards aan om je bedrijf te verbeteren.

Cursus

Bayesiaans modelleren met RJAGS

GevorderdVaardigheidsniveau
4 uur
81
In deze cursus leer je hoe je met RJAGS meer geavanceerde Bayesiaanse modellen kunt maken.

Cursus

Casestudies: netwerkanalyse in R

BasisVaardigheidsniveau
4 uur
81
Pas de basisprincipes van netwerkanalyse toe op grote datasets uit de praktijk in 4 verschillende casestudys.

Cursus

Casestudy: e-commerceanalyse in Tableau

GemiddeldVaardigheidsniveau
3 uur
80
In ecommerce, increasing sales and reducing expenses are top priorities. In this case study, youll investigate data from an online pet supply company.

Cursus

Analyzing US Census Data in R

GemiddeldVaardigheidsniveau
4 uur
77
Learn to rapidly visualize and explore demographic data from the United States Census Bureau using tidyverse tools.

Cursus

Casestudy: voorraad­analyse in Tableau

GemiddeldVaardigheidsniveau
2 uur
67
Verbeter je Tableau-vaardigheden met deze casestudy over voorraadanalyse. Bekijk een dataset, maak berekende velden en maak visualisaties.

Cursus

Programmeren met dplyr

GemiddeldVaardigheidsniveau
4 uur
66
Leer hoe je geavanceerde dplyr-transformaties kunt uitvoeren en dplyr- en ggplot2-code in functies kunt gebruiken.

Cursus

Pandas-joins voor spreadsheetgebruikers

GemiddeldVaardigheidsniveau
4 uur
60
Leer hoe je op een effectieve en efficiënte manier datasets in tabelvorm kunt samenvoegen met behulp van de Python Pandas-bibliotheek.

Cursus

Vraag naar producten voorspellen in R

GemiddeldVaardigheidsniveau
4 uur
58
Learn how to identify important drivers of demand, look at seasonal effects, and predict demand for a hierarchy of products from a real world example.

Cursus

Responsmodellen bouwen in R

GemiddeldVaardigheidsniveau
4 uur
57
Leer simpele modellen maken van hoe de markt reageert om je marketingplannen nog beter te maken.

Cursus

Introductie tot datavisualisatie met Julia

GemiddeldVaardigheidsniveau
4 uur
56
Word een expert in het visualiseren van gegevens in Julia. Leer hoe je mooie grafieken kunt maken en begrijp wanneer en hoe je ze moet gebruiken.

Cursus

Data manipulatie in Julia

BasisVaardigheidsniveau
4 uur
56
Leer de basisvaardigheden van datamanipulatie in Julia. Ontdek hoe je DataFrames kunt bekijken, veranderen, groeperen en visualiseren met echte datasets.

Cursus

Mixture Models in R

GemiddeldVaardigheidsniveau
4 uur
54
Leer over mengmodellen: een handig en formeel statistisch kader voor probabilistische clustering en classificatie.

Cursus

Kanspuzzels in R

BasisVaardigheidsniveau
4 uur
49
Leer strategieën om kansberekeningen in R op te lossen door verschillende kansberekeningspuzzels te doen.

Cursus

Predictive Analytics met netwerkgdata in R

GemiddeldVaardigheidsniveau
4 uur
30
Leer labels van knooppunten in netwerken te voorspellen met behulp van netwerkleren en door beschrijvende kenmerken uit het netwerk te halen.

Cursus

Data Transformation with Polars

GemiddeldVaardigheidsniveau
4 uur
26
Take Polars further with text manipulation, rolling statistics, DataFrame joins, and advanced analytics.

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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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