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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

Kurs

Analyzing Data in Tableau

GrundläggandeKunskapsnivå
4.8+
1 611 recensioner
8 tim
Take your Tableau skills up a notch with advanced analytics and visualizations.

Lärstig

Associate Data Analyst i SQL

4.7+
172 recensioner
39 tim
Få de SQL-färdigheter du behöver för att fråga en databas, analysera resultaten och bli en Data Analyst som behärskar SQL. Ingen tidigare kodningskunskap krävs!

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Utforska kurser och inlärningsvägar inom Data Analysis

Kurs

Foundations of Probability in R

GrundläggandeKunskapsnivå
4.7+
444 recensioner
4 tim
In this course, youll learn about the concepts of random variables, distributions, and conditioning.

Kurs

Statistical Techniques in Tableau

MedelnivåKunskapsnivå
4.8+
634 recensioner
4 tim
Take your reporting skills to the next level with Tableau’s built-in statistical functions.

Kurs

Intermediate Importing Data in R

MedelnivåKunskapsnivå
4.8+
268 recensioner
3 tim
Parse data in any format. Whether its flat files, statistical software, databases, or data right from the web.

Kurs

Window Functions in Snowflake

MedelnivåKunskapsnivå
4.8+
473 recensioner
3 tim
Discover Snowflake window functions to solve complex data problems with rankings, partitions, and rolling calculations.

Kurs

Dealing With Missing Data in R

GrundläggandeKunskapsnivå
4.7+
135 recensioner
4 tim
Make it easy to visualize, explore, and impute missing data with naniar, a tidyverse friendly approach to missing data.

Kurs

Case Study: Analyzing Job Market Data in Power BI

GrundläggandeKunskapsnivå
4.8+
318 recensioner
4 tim
Help a fictional company in this interactive Power BI case study. You’ll use Power Query, DAX, and dashboards to identify the most in-demand data jobs!

Kurs

Visualizing Time Series Data in R

MedelnivåKunskapsnivå
4.8+
175 recensioner
4 tim
Learn how to visualize time series in R, then practice with a stock-picking case study.

Kurs

RNA-Seq with Bioconductor in R

MedelnivåKunskapsnivå
4.7+
138 recensioner
4 tim
Use RNA-Seq differential expression analysis to identify genes likely to be important for different diseases or conditions.

Kurs

Calculations in Sigma

GrundläggandeKunskapsnivå
4.9+
136 recensioner
2 tim
Build dynamic Sigma calculations to explore data, automate logic, and uncover trends with practical business examples.

Kurs

Feature Engineering with PySpark

AvanceradKunskapsnivå
4.8+
286 recensioner
4 tim
Learn the gritty details that data scientists are spending 70-80% of their time on; data wrangling and feature engineering.

Kurs

Data Processing in Shell

MedelnivåKunskapsnivå
4.8+
488 recensioner
4 tim
Learn powerful command-line skills to download, process, and transform data, including machine learning pipeline.

Kurs

Case Study: Analyzing Job Market Data in Tableau

GrundläggandeKunskapsnivå
4.7+
537 recensioner
3 tim
In this case study, you’ll use visualization techniques to find out what skills are most in-demand for data scientists, data analysts, and data engineers.

Kurs

Visualizing Geospatial Data in Python

MedelnivåKunskapsnivå
4.7+
333 recensioner
4 tim
Learn how to make attractive visualizations of geospatial data in Python using the geopandas package and folium maps.

Kurs

Factor Analysis in R

AvanceradKunskapsnivå
4.7+
147 recensioner
4 tim
Explore latent variables, such as personality, using exploratory and confirmatory factor analyses.

Kurs

Anomaly Detection in Python

MedelnivåKunskapsnivå
4.8+
174 recensioner
4 tim
Detect anomalies in your data analysis and expand your Python statistical toolkit in this four-hour course.

Kurs

Bayesian Data Analysis in Python

MedelnivåKunskapsnivå
4.7+
252 recensioner
4 tim
Learn all about the advantages of Bayesian data analysis, and apply it to a variety of real-world use cases!

Kurs

Case Study: Ecommerce Analysis in Power BI

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

Kurs

Introduction to Network Analysis in Python

MedelnivåKunskapsnivå
4.7+
209 recensioner
4 tim
This course will equip you with the skills to analyze, visualize, and make sense of networks using the NetworkX library.

Relaterade resurser om Data Analysis

blogg

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

blogg

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

Handledning

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

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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