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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

Curs

Analizarea datelor în Tableau

De bazăNivel de competențe
4.8+
1.608 recenzii
8 h
Du-ți abilitățile Tableau la nivelul următor cu analize și vizualizări avansate.

Traseu de învățare

Analist de date asociat în SQL

4.7+
172 de recenzii
39 h
Dobândește abilitățile SQL de care ai nevoie pentru a interoga o bază de date, a analiza rezultatele și a deveni un Data Analyst proficient în SQL. Nu este necesară nicio experiență anterioară de programare!

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Navighează cursurile și traseele Data Analysis

Curs

Baseball Data Visualization in Power BI

De bazăNivel de competențe
4.8+
182 de recenzii
1 h
Discover how to analyze and visualize baseball data using Power BI. Create scatter plots, tornado charts, and gauges to bring baseball insights alive.

Curs

Case Study: Supply Chain Analytics in Power BI

De bazăNivel de competențe
4.8+
176 de recenzii
4 h
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.

Curs

Analyzing Survey Data in R

IntermediarNivel de competențe
4.8+
209 recenzii
4 h
Learn survey design using common design structures followed by visualizing and analyzing survey results.

Curs

Introduction to Python in Power BI

IntermediarNivel de competențe
4.8+
142 de recenzii
3 h
Learn how to use Python scripts in Power BI for data prep, visualizations, and calculating correlation coefficients.

Curs

Visualization Best Practices in R

De bazăNivel de competențe
4.8+
302 recenzii
1 h
Learn to effectively convey your data with an overview of common charts, alternative visualization types, and perception-driven style enhancements.

Curs

Case Study: Inventory Analysis in Power BI

IntermediarNivel de competențe
4.7+
165 de recenzii
5 h
This Power BI case study follows a real-world business use case on tackling inventory analysis using DAX and visualizations.

Curs

HR Analytics: Exploring Employee Data in R

IntermediarNivel de competențe
4.8+
36 de recenzii
5 h
Learn how to manipulate, visualize, and perform statistical tests through a series of HR analytics case studies.

Curs

Time Series Analysis in Power BI

IntermediarNivel de competențe
4.8+
254 de recenzii
5 h
Learn to analyze data over time with this practical course on Time Series Analysis in Power BI. Work with real datasets & practice common techniques.

Curs

Web Scraping in R

IntermediarNivel de competențe
4.7+
89 de recenzii
4 h
Learn how to efficiently collect and download data from any website using R.

Curs

Introduction to Linear Modeling in Python

IntermediarNivel de competențe
4.7+
213 recenzii
4 h
Explore the concepts and applications of linear models with python and build models to describe, predict, and extract insight from data patterns.

Curs

Data Transformation with Polars

IntermediarNivel de competențe
4.9+
37 de recenzii
4 h
Take Polars further with text manipulation, rolling statistics, DataFrame joins, and advanced analytics.

Curs

Statistical Thinking in Python (Part 2)

IntermediarNivel de competențe
4.8+
245 de recenzii
4 h
Learn to perform the two key tasks in statistical inference: parameter estimation and hypothesis testing.

Curs

A/B Testing in R

IntermediarNivel de competențe
4.8+
89 de recenzii
4 h
Learn the basics of A/B testing in R, including how to design experiments, analyze data, predict outcomes, and present results through visualizations.

Curs

Inference for Numerical Data in R

AvansatNivel de competențe
4.8+
100 de recenzii
4 h
In this course youll learn techniques for performing statistical inference on numerical data.

Curs

Survival Analysis in R

IntermediarNivel de competențe
4.7+
186 de recenzii
4 h
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!

Curs

Network Analysis in R

IntermediarNivel de competențe
4.7+
120 de recenzii
4 h
Learn to analyze and visualize network data with the igraph package and create interactive network plots with threejs.

Curs

Communicating with Data in the Tidyverse

De bazăNivel de competențe
4.8+
192 de recenzii
4 h
Leverage the power of tidyverse tools to create publication-quality graphics and custom-styled reports that communicate your results.

Curs

Inference for Categorical Data in R

AvansatNivel de competențe
4.8+
107 recenzii
4 h
In this course youll learn how to leverage statistical techniques for working with categorical data.

Curs

Advanced Probability: Uncertainty in Data

AvansatNivel de competențe
4.8+
146 de recenzii
2 h
Develop a better intuition for advanced probability, risk assessment, and simulation techniques to make data-driven business decisions with confidence.

Curs

Case Study: Exploratory Data Analysis in R

De bazăNivel de competențe
4.9+
48 de recenzii
4 h
Use data manipulation and visualization skills to explore the historical voting of the United Nations General Assembly.

Resurse conexe despre Data Analysis

articol de 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.

articol de 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.

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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