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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

Introduction to Power BI

GrundläggandeKunskapsnivå
4.8+
19 319 recensioner
4 tim
Master the Power BI basics and learn to use the data visualization software to build impactful reports.

Kurs

Introduction to SQL

GrundläggandeKunskapsnivå
4.8+
53 993 recensioner
2 tim
Learn how to create and query relational databases using SQL in just two hours.
AI Tutor

Kurs

SQL för medelnivå

GrundläggandeKunskapsnivå
4.8+
35 418 recensioner
4 tim
Med praktiska övningsfrågor i varje steg lär du dig allt du behöver för att analysera data med din egen SQL-kod redan idag!
AI Tutor

Kurs

Introduction to Excel

GrundläggandeKunskapsnivå
4.8+
9 350 recensioner
4 tim
Master the Excel basics and learn to use this spreadsheet tool to conduct impactful analysis.

Kurs

Joining Data in SQL

GrundläggandeKunskapsnivå
4.8+
21 818 recensioner
4 tim
Level up your SQL knowledge and learn to join tables together, apply relational set theory, and work with subqueries.
AI Tutor

Kurs

Data Manipulation in SQL

GrundläggandeKunskapsnivå
4.8+
2 529 recensioner
4 tim
Master the complex SQL queries necessary to answer a wide variety of data science questions and prepare robust data sets for analysis in PostgreSQL.

Kurs

Data Manipulation with pandas

GrundläggandeKunskapsnivå
4.8+
14 111 recensioner
4 tim
Learn how to import and clean data, calculate statistics, and create visualizations with pandas.
AI Tutor

Kurs

Introduction to DAX in Power BI

GrundläggandeKunskapsnivå
4.8+
11 283 recensioner
3 tim
Enhance your Power BI knowledge, by learning the fundamentals of Data Analysis Expressions (DAX) such as calculated columns, tables, and measures.

Kurs

Introduction to Statistics

GrundläggandeKunskapsnivå
4.8+
8 527 recensioner
4 tim
Learn the fundamentals of statistics, including measures of center and spread, probability distributions, and hypothesis testing with no coding involved!

Kurs

Data Visualization in Power BI

GrundläggandeKunskapsnivå
4.8+
9 594 recensioner
3 tim
Power BI is a powerful data visualization tool that can be used in reports and dashboards.

Kurs

Introduction to Tableau

GrundläggandeKunskapsnivå
4.8+
5 087 recensioner
6 tim
Start your Tableau journey with our Introduction to Tableau course. Discover Tableau basics such as its features and dashboards.

Kurs

Introduktion till statistik i Python

MedelnivåKunskapsnivå
4.7+
7 933 recensioner
4 tim
Utveckla dina statistiska färdigheter och lär dig samla in, analysera och dra korrekta slutsatser från data med Python.

Kurs

Exploratory Data Analysis in SQL

MedelnivåKunskapsnivå
4.7+
4 520 recensioner
4 tim
Learn how to explore whats available in a database: the tables, relationships between them, and data stored in them.

Kurs

Data Preparation in Excel

GrundläggandeKunskapsnivå
4.8+
6 503 recensioner
3 tim
Understand how to prepare Excel data through logical functions, nested formulas, lookup functions, and PivotTables.

Kurs

Joining Data with pandas

MedelnivåKunskapsnivå
4.8+
8 750 recensioner
4 tim
Learn to combine data from multiple tables by joining data together using pandas.

Kurs

Exploratory Data Analysis in Python

MedelnivåKunskapsnivå
4.8+
6 967 recensioner
4 tim
Learn how to explore, visualize, and extract insights from data using exploratory data analysis (EDA) in Python.

Kurs

Data Preparation in Power BI

GrundläggandeKunskapsnivå
4.8+
7 776 recensioner
3 tim
In this interactive Power BI course, you’ll learn how to use Power Query Editor to transform and shape your data to be ready for analysis.

Kurs

Data Modeling in Power BI

GrundläggandeKunskapsnivå
4.8+
6 975 recensioner
3 tim
Learn the key concepts of data modeling on Power BI.

Kurs

Case Study: Analyzing Customer Churn in Power BI

GrundläggandeKunskapsnivå
4.8+
6 650 recensioner
3 tim
You will investigate a dataset from a fictitious company called Databel in Power BI, and need to figure out why customers are churning.

Kurs

Introduction to Importing Data in Python

GrundläggandeKunskapsnivå
4.8+
1 378 recensioner
3 tim
Learn to import data into Python from various sources, such as Excel, SQL, SAS and right from the web.

Kurs

Data Visualization in Excel

GrundläggandeKunskapsnivå
4.8+
4 105 recensioner
3 tim
Learn how to create a range of visualizations in Excel for different data layouts, ensuring you incorporate best practices to help you build dashboards.

Kurs

Introduction to Power Query in Excel

GrundläggandeKunskapsnivå
4.8+
2 255 recensioner
3 tim
Explore Excel Power Query for advanced data transformation and cleansing to boost your decision-making and analysis.

Kurs

Introduction to Alteryx

GrundläggandeKunskapsnivå
4.8+
2 298 recensioner
2 tim
Enter the world of Alteryx Designer and learn how to navigate the tool to load, prepare, and aggregate data.

Kurs

Cleaning Data in Python

MedelnivåKunskapsnivå
4.7+
4 739 recensioner
4 tim
Learn to diagnose and treat dirty data and develop the skills needed to transform your raw data into accurate insights!

Relaterade resurser om Data Analysis

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How to Become a Data Analyst in 2026: 5 Steps to Start Your Career

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Elena Kosourova

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30 Data Analytics Projects for All Levels in 2026

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Alteryx Tutorial: A Comprehensive Hands-On Guide for Data Analytics

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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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