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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+
1 608 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

Baseball Data Visualization in Power BI

GrundläggandeKunskapsnivå
4.8+
182 recensioner
1 tim
Discover how to analyze and visualize baseball data using Power BI. Create scatter plots, tornado charts, and gauges to bring baseball insights alive.

Kurs

Case Study: Supply Chain Analytics in Power BI

GrundläggandeKunskapsnivå
4.8+
176 recensioner
4 tim
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.

Kurs

Analyzing Survey Data in R

MedelnivåKunskapsnivå
4.8+
209 recensioner
4 tim
Learn survey design using common design structures followed by visualizing and analyzing survey results.

Kurs

Introduction to Python in Power BI

MedelnivåKunskapsnivå
4.8+
142 recensioner
3 tim
Learn how to use Python scripts in Power BI for data prep, visualizations, and calculating correlation coefficients.

Kurs

Visualization Best Practices in R

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

Kurs

Case Study: Inventory Analysis in Power BI

MedelnivåKunskapsnivå
4.7+
165 recensioner
5 tim
This Power BI case study follows a real-world business use case on tackling inventory analysis using DAX and visualizations.

Kurs

Time Series Analysis in Power BI

MedelnivåKunskapsnivå
4.8+
254 recensioner
5 tim
Learn to analyze data over time with this practical course on Time Series Analysis in Power BI. Work with real datasets & practice common techniques.

Kurs

Web Scraping in R

MedelnivåKunskapsnivå
4.7+
89 recensioner
4 tim
Learn how to efficiently collect and download data from any website using R.

Kurs

Introduction to Linear Modeling in Python

MedelnivåKunskapsnivå
4.7+
213 recensioner
4 tim
Explore the concepts and applications of linear models with python and build models to describe, predict, and extract insight from data patterns.

Kurs

Data Transformation with Polars

MedelnivåKunskapsnivå
4.9+
37 recensioner
4 tim
Take Polars further with text manipulation, rolling statistics, DataFrame joins, and advanced analytics.

Kurs

Statistical Thinking in Python (Part 2)

MedelnivåKunskapsnivå
4.8+
245 recensioner
4 tim
Learn to perform the two key tasks in statistical inference: parameter estimation and hypothesis testing.

Kurs

A/B Testing in R

MedelnivåKunskapsnivå
4.8+
89 recensioner
4 tim
Learn the basics of A/B testing in R, including how to design experiments, analyze data, predict outcomes, and present results through visualizations.

Kurs

Inference for Numerical Data in R

AvanceradKunskapsnivå
4.8+
100 recensioner
4 tim
In this course youll learn techniques for performing statistical inference on numerical data.

Kurs

Survival Analysis in R

MedelnivåKunskapsnivå
4.7+
186 recensioner
4 tim
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!

Kurs

Network Analysis in R

MedelnivåKunskapsnivå
4.7+
120 recensioner
4 tim
Learn to analyze and visualize network data with the igraph package and create interactive network plots with threejs.

Kurs

Communicating with Data in the Tidyverse

GrundläggandeKunskapsnivå
4.8+
192 recensioner
4 tim
Leverage the power of tidyverse tools to create publication-quality graphics and custom-styled reports that communicate your results.

Kurs

Inference for Categorical Data in R

AvanceradKunskapsnivå
4.8+
107 recensioner
4 tim
In this course youll learn how to leverage statistical techniques for working with categorical data.

Kurs

Advanced Probability: Uncertainty in Data

AvanceradKunskapsnivå
4.8+
146 recensioner
2 tim
Develop a better intuition for advanced probability, risk assessment, and simulation techniques to make data-driven business decisions with confidence.

Kurs

Case Study: Exploratory Data Analysis in R

GrundläggandeKunskapsnivå
4.9+
48 recensioner
4 tim
Use data manipulation and visualization skills to explore the historical voting of the United Nations General Assembly.

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.
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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

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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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