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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

Understanding Excel

De bazăNivel de competențe
4.8+
1.214 recenzii
1 h
Master Excel basics quickly: navigate spreadsheets, apply formulas, analyze data, and create your first charts!

Curs

Intermediate Regression in R

IntermediarNivel de competențe
4.7+
764 de recenzii
4 h
Learn to perform linear and logistic regression with multiple explanatory variables.

Curs

Intermediate Power Query in Excel

IntermediarNivel de competențe
4.7+
1.049 de recenzii
4 h
Building on your foundational Power Query in Excel knowledge, this intermediate course takes you to the next level of data transformation mastery

Curs

Streamlined Data Ingestion with pandas

IntermediarNivel de competențe
4.8+
1.765 de recenzii
4 h
Learn to acquire data from common file formats and systems such as CSV files, spreadsheets, JSON, SQL databases, and APIs.

Curs

Data Analysis in Google Sheets

De bazăNivel de competențe
4.8+
1.184 de recenzii
3 h
Learn to use Google Sheets to clean, analyze, and draw insights from data. Discover how to sort, filter, and use VLOOKUP to combine data.

Curs

Introduction to SQL Querying with AI

De bazăNivel de competențe
4.8+
540 de recenzii
3 h
Learn SQL Querying with AI by writing prompts, generating queries, and analyzing data to solve real-world problems.

Curs

Joining Data with dplyr

De bazăNivel de competențe
4.7+
1.205 recenzii
4 h
Learn to combine data across multiple tables to answer more complex questions with dplyr.

Curs

Time Series Analysis in Python

IntermediarNivel de competențe
4.8+
134 de recenzii
4 h
In this four-hour course, you’ll learn the basics of analyzing time series data in Python.

Curs

Experimental Design in Python

IntermediarNivel de competențe
4.7+
1.757 de recenzii
4 h
Implement experimental design setups and perform robust statistical analyses to make precise and valid conclusions!

Curs

Cleaning Data in R

IntermediarNivel de competențe
4.7+
771 de recenzii
4 h
Learn to clean data as quickly and accurately as possible to help you move from raw data to awesome insights.

Curs

Sampling in R

IntermediarNivel de competențe
4.7+
824 de recenzii
4 h
Master sampling to get more accurate statistics with less data.

Curs

Creating PostgreSQL Databases

De bazăNivel de competențe
4.8+
602 recenzii
4 h
Learn how to create a PostgreSQL database and explore the structure, data types, and how to normalize databases.

Curs

Case Study: Analyzing Customer Churn in Tableau

De bazăNivel de competențe
4.8+
928 de recenzii
3 h
You will investigate a dataset from a fictitious company called Databel in Tableau, and need to figure out why customers are churning.

Curs

Data Manipulation in Snowflake

De bazăNivel de competențe
4.8+
975 de recenzii
2 h
Master data manipulation and analysis techniques such as CASE statements, subqueries, and CTEs in Snowflake.

Curs

ARIMA Models in R

De bazăNivel de competențe
4.8+
306 recenzii
4 h
Become an expert in fitting ARIMA (autoregressive integrated moving average) models to time series data using R.

Curs

Reshaping Data with tidyr

IntermediarNivel de competențe
4.8+
452 de recenzii
4 h
Transform almost any dataset into a tidy format to make analysis easier.

Curs

Introduction to KNIME

De bazăNivel de competențe
4.8+
529 de recenzii
3 h
Learn to use the KNIME Analytics Platform for data access, cleaning, and analysis with a no-code/low-code approach.

Curs

Connecting Data in Tableau

De bazăNivel de competențe
4.8+
1.102 recenzii
3 h
Learn to connect Tableau to different data sources and prepare the data for a smooth analysis.

Curs

Cleaning Data with PySpark

AvansatNivel de competențe
4.7+
466 de recenzii
4 h
Learn how to clean data with Apache Spark in Python.

Curs

Data Visualization in Tableau

De bazăNivel de competențe
4.8+
804 recenzii
6 h
Data visualization is one of the most desired skills for data analysts. This course allows you to present your findings better using Tableau.

Curs

Reshaping Data with pandas

IntermediarNivel de competențe
4.7+
782 de recenzii
4 h
Reshape DataFrames from a wide to long format, stack and unstack rows and columns, and wrangle multi-index DataFrames.

Curs

Time Series Analysis in R

IntermediarNivel de competențe
4.8+
88 de recenzii
4 h
Learn the core techniques necessary to extract meaningful insights from time series data.

Curs

Introduction to Databases in Python

IntermediarNivel de competențe
4.7+
264 de recenzii
4 h
In this course, youll learn the basics of relational databases and how to interact with them.

Curs

Data Transformation in Alteryx

De bazăNivel de competențe
4.8+
755 de recenzii
2 h
Unlock Alteryx for data transformation, mastering Crosstab, Transpose, and workflow optimization in this interactive course.

Curs

Pivot Tables in Google Sheets

De bazăNivel de competențe
4.8+
214 recenzii
2 h
Learn how to create pivot tables and quickly organize thousands of data points with just a few clicks.

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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