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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

Data Visualization in Databricks

GrundläggandeKunskapsnivå
4.7+
579 recensioner
3 tim
Create visualizations and dynamic dashboards with Databricks, turning raw data into clear and actionable insights.

Kurs

Data Manipulation in Alteryx

GrundläggandeKunskapsnivå
4.8+
625 recensioner
3 tim
Orchestrate data using unions, joins, parsing, and performance optimization in Alteryx.

Kurs

Manipulating Time Series Data in R

MedelnivåKunskapsnivå
4.8+
283 recensioner
4 tim
Master time series data manipulation in R, including importing, summarizing and subsetting, with zoo, lubridate and xts.

Kurs

Introduction to Statistics in Google Sheets

GrundläggandeKunskapsnivå
4.8+
577 recensioner
4 tim
Learn how to leverage statistical techniques using spreadsheets to more effectively work with and extract insights from your data.

Kurs

Modeling with Data in the Tidyverse

MedelnivåKunskapsnivå
4.8+
227 recensioner
4 tim
Discover different types in data modeling, including for prediction, and learn how to conduct linear regression and model assessment measures in the Tidyverse.

Kurs

A/B Testing in Python

MedelnivåKunskapsnivå
4.7+
353 recensioner
4 tim
Learn the practical uses of A/B testing in Python to run and analyze experiments. Master p-values, sanity checks, and analysis to guide business decisions.

Kurs

Calculations in Tableau

AvanceradKunskapsnivå
4.7+
643 recensioner
6 tim
In this interactive course, you’ll learn how to use functions for your Tableau calculations and when you should use them!

Kurs

Introduction to Oracle SQL

GrundläggandeKunskapsnivå
4.8+
245 recensioner
4 tim
Sharpen your skills in Oracle SQL including SQL basics, aggregating, combining, and customizing data.

Kurs

Introduction to Bioconductor in R

MedelnivåKunskapsnivå
4.7+
112 recensioner
4 tim
Learn to use essential Bioconductor packages for bioinformatics using datasets from viruses, fungi, humans, and plants!

Kurs

Forecasting in R

GrundläggandeKunskapsnivå
4.9+
51 recensioner
5 tim
Learn how to make predictions about the future using time series forecasting in R including ARIMA models and exponential smoothing methods.

Kurs

Intermediate Google Sheets

GrundläggandeKunskapsnivå
4.8+
802 recensioner
4 tim
Expand your Google Sheets vocabulary by diving deeper into data types, including numeric data, logical data, and missing data.

Kurs

Intermediate SQL Querying with AI

GrundläggandeKunskapsnivå
4.8+
220 recensioner
3 tim
Build SQL skills by writing AI prompts that generate queries for sorting, grouping, filtering, and categorizing data.

Kurs

Linear Algebra for Data Science in R

MedelnivåKunskapsnivå
4.7+
133 recensioner
4 tim
This course is an introduction to linear algebra, one of the most important mathematical topics underpinning data science.

Kurs

Visualizations in Sigma

GrundläggandeKunskapsnivå
4.8+
173 recensioner
2 tim
Learn to build and customize Sigma charts to tell clear, compelling data stories—no coding required.

Kurs

Foundations of Inference in R

MedelnivåKunskapsnivå
4.7+
50 recensioner
4 tim
Learn how to draw conclusions about a population from a sample of data via a process known as statistical inference.

Kurs

Introduction to Spark SQL in Python

AvanceradKunskapsnivå
4.7+
142 recensioner
4 tim
Learn how to manipulate data and create machine learning feature sets in Spark using SQL in Python.

Kurs

Introduction to Polars

GrundläggandeKunskapsnivå
4.8+
391 recensioner
3 tim
Learn how to efficiently transform, clean, and analyze data using Polars, a Python library for fast data manipulation.

Kurs

Data Types and Functions in Snowflake

MedelnivåKunskapsnivå
4.8+
470 recensioner
3 tim
Learn Snowflake data types and functions to manipulate text, numbers, and dates while building custom functions and pivot tables.

Kurs

Generalized Linear Models in R

MedelnivåKunskapsnivå
4.8+
190 recensioner
4 tim
The Generalized Linear Model course expands your regression toolbox to include logistic and Poisson regression.

Kurs

Experimental Design in R

MedelnivåKunskapsnivå
4.7+
320 recensioner
4 tim
In this course youll learn about basic experimental design, a crucial part of any data analysis.

Kurs

Statistical Techniques in Tableau

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

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.
Abid Ali Awan's photo

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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