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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

Foundations of Probability in Python

IntermediarNivel de competențe
4.8+
201 recenzii
5 h
Learn fundamental probability concepts like random variables, mean and variance, probability distributions, and conditional probabilities.

Curs

Foundations of Probability in R

De bazăNivel de competențe
4.7+
443 de recenzii
4 h
In this course, youll learn about the concepts of random variables, distributions, and conditioning.

Curs

Cleaning Data in PostgreSQL Databases

IntermediarNivel de competențe
4.8+
443 de recenzii
4 h
Learn to tame your raw, messy data stored in a PostgreSQL database to extract accurate insights.

Curs

Case Study: Analyzing Job Market Data in Power BI

De bazăNivel de competențe
4.8+
317 recenzii
4 h
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!

Curs

Intermediate Importing Data in R

IntermediarNivel de competențe
4.8+
268 de recenzii
3 h
Parse data in any format. Whether its flat files, statistical software, databases, or data right from the web.

Curs

Dealing With Missing Data in R

De bazăNivel de competențe
4.7+
135 de recenzii
4 h
Make it easy to visualize, explore, and impute missing data with naniar, a tidyverse friendly approach to missing data.

Curs

Window Functions in Snowflake

IntermediarNivel de competențe
4.8+
469 de recenzii
3 h
Discover Snowflake window functions to solve complex data problems with rankings, partitions, and rolling calculations.

Curs

Visualizing Time Series Data in R

IntermediarNivel de competențe
4.8+
174 de recenzii
4 h
Learn how to visualize time series in R, then practice with a stock-picking case study.

Curs

RNA-Seq with Bioconductor in R

IntermediarNivel de competențe
4.7+
138 de recenzii
4 h
Use RNA-Seq differential expression analysis to identify genes likely to be important for different diseases or conditions.

Curs

Calculations in Sigma

De bazăNivel de competențe
4.9+
135 de recenzii
2 h
Build dynamic Sigma calculations to explore data, automate logic, and uncover trends with practical business examples.

Curs

Data Processing in Shell

IntermediarNivel de competențe
4.8+
486 de recenzii
4 h
Learn powerful command-line skills to download, process, and transform data, including machine learning pipeline.

Curs

Feature Engineering with PySpark

AvansatNivel de competențe
4.8+
286 de recenzii
4 h
Learn the gritty details that data scientists are spending 70-80% of their time on; data wrangling and feature engineering.

Curs

Case Study: Analyzing Job Market Data in Tableau

De bazăNivel de competențe
4.7+
536 de recenzii
3 h
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.

Curs

Visualizing Geospatial Data in Python

IntermediarNivel de competențe
4.7+
333 de recenzii
4 h
Learn how to make attractive visualizations of geospatial data in Python using the geopandas package and folium maps.

Curs

Anomaly Detection in Python

IntermediarNivel de competențe
4.8+
174 de recenzii
4 h
Detect anomalies in your data analysis and expand your Python statistical toolkit in this four-hour course.

Curs

Factor Analysis in R

AvansatNivel de competențe
4.7+
145 de recenzii
4 h
Explore latent variables, such as personality, using exploratory and confirmatory factor analyses.

Curs

Bayesian Data Analysis in Python

IntermediarNivel de competențe
4.7+
252 de recenzii
4 h
Learn all about the advantages of Bayesian data analysis, and apply it to a variety of real-world use cases!

Curs

Case Study: Ecommerce Analysis in Power BI

IntermediarNivel de competențe
4.8+
199 de recenzii
4 h
In ecommerce, increasing sales and reducing costs are key. Analyze data from an online pet supply company using Power BI.

Curs

Introduction to Network Analysis in Python

IntermediarNivel de competențe
4.7+
208 recenzii
4 h
This course will equip you with the skills to analyze, visualize, and make sense of networks using the NetworkX library.

Curs

Time Series Analysis in SQL Server

IntermediarNivel de competențe
4.7+
361 de recenzii
5 h
Explore ways to work with date and time data in SQL Server for time series analysis

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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