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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

Gegevens manipuleren in Alteryx

BasisVaardigheidsniveau
3 uur
510
Gebruik unions, joins, parsing en prestatie-optimalisatie in Alteryx om gegevens te organiseren.

Cursus

Intermediate Importing Data in R

GemiddeldVaardigheidsniveau
3 uur
499
Parse data in any format. Whether its flat files, statistical software, databases, or data right from the web.

Cursus

Best practices voor visualisaties in R

BasisVaardigheidsniveau
4 uur
497
Learn to effectively convey your data with an overview of common charts, alternative visualization types, and perception-driven style enhancements.

Cursus

RNA-Seq met Bioconductor in R

GemiddeldVaardigheidsniveau
4 uur
487
Gebruik RNA-Seq differentiële expressieanalyse om genen te vinden die waarschijnlijk belangrijk zijn voor verschillende ziekten of aandoeningen.

Cursus

Tijdreeksanalyse in SQL Server

GemiddeldVaardigheidsniveau
5 uur
482
Ontdek manieren om met datum- en tijdgegevens te werken in SQL Server voor tijdreeksanalyse.

Cursus

Anomaly Detection in Python

GemiddeldVaardigheidsniveau
4 uur
481
Detect anomalies in your data analysis and expand your Python statistical toolkit in this four-hour course.

Cursus

Introductie tot Spark SQL in Python

GevorderdVaardigheidsniveau
4 uur
478
Leer hoe je gegevens kunt bewerken en machine learning-functiesets kunt maken in Spark met behulp van SQL in Python.

Cursus

Casestudy: Supply Chain Analytics in Power BI

GemiddeldVaardigheidsniveau
4 uur
457
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

Statistische technieken in Tableau

GemiddeldVaardigheidsniveau
4 uur
452
Til je rapportagevaardigheden naar een hoger niveau met de ingebouwde statistische functies van Tableau.

Cursus

Generalized Linear Models in Python

GevorderdVaardigheidsniveau
5 uur
425
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

Webscraping in R

GemiddeldVaardigheidsniveau
4 uur
424
Leer hoe je met R makkelijk gegevens van elke website kunt verzamelen en downloaden.

Cursus

Feature Engineering with PySpark

GevorderdVaardigheidsniveau
4 uur
421
Learn the gritty details that data scientists are spending 70-80% of their time on; data wrangling and feature engineering.

Cursus

Categorische gegevens in de Tidyverse

BasisVaardigheidsniveau
4 uur
401
Get ready to categorize! In this course, you will work with non-numerical data, such as job titles or survey responses, using the Tidyverse landscape.

Cursus

Tijdreeksanalyse in Power BI

GemiddeldVaardigheidsniveau
5 uur
386
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

Je datavisualisaties verbeteren in Python

GemiddeldVaardigheidsniveau
4 uur
366
Leer hoe je boeiende en aantrekkelijke visualisaties kunt maken die helpen om resultaten efficiënt en effectief over te brengen.

Cursus

Basis van inferentie in R

GemiddeldVaardigheidsniveau
4 uur
361
Leer hoe je conclusies kunt trekken over een populatie op basis van een steekproef van gegevens via een proces dat statistische inferentie heet.

Cursus

ARIMA-modellen in R

BasisVaardigheidsniveau
4 uur
356
Word een expert in het toepassen van ARIMA-modellen (autoregressive integrated moving average) op tijdreeksgegevens met behulp van R.

Cursus

Introductie tot Python in Power BI

GemiddeldVaardigheidsniveau
3 uur
347
Leer hoe je Python-scripts in Power BI kunt gebruiken voor het voorbereiden van gegevens, visualisaties en het berekenen van correlatiecoëfficiënten.

Cursus

Casestudy: Exploratory Data Analysis in R

BasisVaardigheidsniveau
4 uur
327
Gebruik je vaardigheden in het bewerken en visualiseren van gegevens om de stemgeschiedenis van de Algemene Vergadering van de Verenigde Naties te bekijken.

Cursus

Visualizing Geospatial Data in Python

GemiddeldVaardigheidsniveau
4 uur
317
Learn how to make attractive visualizations of geospatial data in Python using the geopandas package and folium maps.

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Alteryx Tutorial: A Comprehensive Hands-On Guide for Data Analytics

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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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