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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

Course

Analyzing Data in Tableau

BasicSkill Level
4.8+
1,828 reviews
8 hr
Take your Tableau skills up a notch with advanced analytics and visualizations.

Track

Associate Data Analyst in SQL

4.7+
193 reviews
39 hr
Gain the SQL skills you need to query a database, analyze the results, and become a SQL proficient Data Analyst. No prior coding experience required!

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Browse Data Analysis courses and tracks

Course

Modeling with Data in the Tidyverse

IntermediateSkill Level
4.8+
245 reviews
4 hr
Discover different types in data modeling, including for prediction, and learn how to conduct linear regression and model assessment measures in the Tidyverse.

Course

Manipulating Time Series Data in R

IntermediateSkill Level
4.8+
295 reviews
4 hr
Master time series data manipulation in R, including importing, summarizing and subsetting, with zoo, lubridate and xts.

Course

Feature Engineering with PySpark

AdvancedSkill Level
4.8+
310 reviews
4 hr
Learn the gritty details that data scientists are spending 70-80% of their time on; data wrangling and feature engineering.

Course

Introduction to Linear Modeling in Python

IntermediateSkill Level
4.7+
231 reviews
4 hr
Explore the concepts and applications of linear models with python and build models to describe, predict, and extract insight from data patterns.

Course

Case Study: Inventory Analysis in Power BI

IntermediateSkill Level
4.7+
184 reviews
5 hr
This Power BI case study follows a real-world business use case on tackling inventory analysis using DAX and visualizations.

Course

Generalized Linear Models in R

IntermediateSkill Level
4.8+
213 reviews
4 hr
The Generalized Linear Model course expands your regression toolbox to include logistic and Poisson regression.

Course

Survival Analysis in R

IntermediateSkill Level
4.7+
208 reviews
4 hr
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!

Course

Foundations of Probability in Python

IntermediateSkill Level
4.8+
210 reviews
5 hr
Learn fundamental probability concepts like random variables, mean and variance, probability distributions, and conditional probabilities.

Course

Web Scraping in R

IntermediateSkill Level
4.7+
100 reviews
4 hr
Learn how to efficiently collect and download data from any website using R.

Course

Case Study: Ecommerce Analysis in Power BI

IntermediateSkill Level
4.8+
213 reviews
4 hr
In ecommerce, increasing sales and reducing costs are key. Analyze data from an online pet supply company using Power BI.

Course

Marketing Analytics in Tableau

IntermediateSkill Level
4.8+
95 reviews
6 hr
Master marketing analytics using Tableau. Analyze performance, benchmark metrics, and optimize strategies across channels.

Course

Advanced Probability: Uncertainty in Data

AdvancedSkill Level
4.8+
167 reviews
2 hr
Develop a better intuition for advanced probability, risk assessment, and simulation techniques to make data-driven business decisions with confidence.

Course

Statistical Simulation in Python

IntermediateSkill Level
4.9+
30 reviews
4 hr
Learn to solve increasingly complex problems using simulations to generate and analyze data.

Course

Analyzing Survey Data in R

IntermediateSkill Level
4.8+
225 reviews
4 hr
Learn survey design using common design structures followed by visualizing and analyzing survey results.

Course

ARIMA Models in R

BasicSkill Level
4.8+
323 reviews
4 hr
Become an expert in fitting ARIMA (autoregressive integrated moving average) models to time series data using R.

Course

Error and Uncertainty in Google Sheets

IntermediateSkill Level
4.7+
157 reviews
4 hr
Learn to distinguish real differences from random noise, and explore psychological crutches we use that interfere with our rational decision making.

Course

Intermediate Network Analysis in Python

AdvancedSkill Level
4.8+
89 reviews
4 hr
Analyze time series graphs, use bipartite graphs, and gain the skills to tackle advanced problems in network analytics.

Course

Foundations of Inference in Python

AdvancedSkill Level
4.8+
231 reviews
4 hr
Get hands-on experience making sound conclusions based on data in this four-hour course on statistical inference in Python.

Course

Discrete Event Simulation in Python

AdvancedSkill Level
4.7+
80 reviews
4 hr
Discover the power of discrete-event simulation in optimizing your business processes. Learn to develop digital twins using Pythons SimPy package.

Course

Visualizing Geospatial Data in R

IntermediateSkill Level
4.6+
90 reviews
4 hr
Learn to read, explore, and manipulate spatial data then use your skills to create informative maps using R.

Course

Factor Analysis in R

AdvancedSkill Level
4.7+
164 reviews
4 hr
Explore latent variables, such as personality, using exploratory and confirmatory factor analyses.

Course

Categorical Data in the Tidyverse

BasicSkill Level
4.8+
177 reviews
4 hr
Get ready to categorize! In this course, you will work with non-numerical data, such as job titles or survey responses, using the Tidyverse landscape.

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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