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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

बुनियादीकौशल स्तर
8 hours
3.2K
Take your Tableau skills up a notch with advanced analytics and visualizations.

Track

Associate Data Analyst in SQL

39 hours
55.9K
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!

निश्चित नहीं हूं कि कहां से शुरुआत की जाए?

मूल्यांकन करें

Data Analysis पाठ्यक्रमों और ट्रैक को ब्राउज़ करें

course

Intermediate Importing Data in R

मध्यवर्तीकौशल स्तर
3 hours
508
Parse data in any format. Whether its flat files, statistical software, databases, or data right from the web.

course

Data Manipulation in Alteryx

बुनियादीकौशल स्तर
3 hours
504
Orchestrate data using unions, joins, parsing, and performance optimization in Alteryx.

course

Visualization Best Practices in R

बुनियादीकौशल स्तर
4 hours
500
Learn to effectively convey your data with an overview of common charts, alternative visualization types, and perception-driven style enhancements.

course

Anomaly Detection in Python

मध्यवर्तीकौशल स्तर
4 hours
478
Detect anomalies in your data analysis and expand your Python statistical toolkit in this four-hour course.

course

Time Series Analysis in SQL Server

मध्यवर्तीकौशल स्तर
5 hours
477
Explore ways to work with date and time data in SQL Server for time series analysis

course

Introduction to Spark SQL in Python

विकसितकौशल स्तर
4 hours
473
Learn how to manipulate data and create machine learning feature sets in Spark using SQL in Python.

course

RNA-Seq with Bioconductor in R

मध्यवर्तीकौशल स्तर
4 hours
472
Use RNA-Seq differential expression analysis to identify genes likely to be important for different diseases or conditions.

course

Fundamentals of Bayesian Data Analysis in R

मध्यवर्तीकौशल स्तर
4 hours
445
Learn what Bayesian data analysis is, how it works, and why it is a useful tool to have in your data science toolbox.

course

Statistical Techniques in Tableau

मध्यवर्तीकौशल स्तर
4 hours
444
Take your reporting skills to the next level with Tableau’s built-in statistical functions.

course

Case Study: Supply Chain Analytics in Power BI

मध्यवर्तीकौशल स्तर
4 hours
435
Learn how to use Power BI for supply chain analytics in this case study. Create a make vs. buy analysis tool, calculate costs, and analyze production volumes.

course

Generalized Linear Models in Python

विकसितकौशल स्तर
5 hours
426
Extend your regression toolbox with the logistic and Poisson models and learn to train, understand, and validate them, as well as to make predictions.

course

Case Study: Analyzing Job Market Data in Tableau

बुनियादीकौशल स्तर
3 hours
421
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.

course

Feature Engineering with PySpark

विकसितकौशल स्तर
4 hours
416
Learn the gritty details that data scientists are spending 70-80% of their time on; data wrangling and feature engineering.

course

Web Scraping in R

मध्यवर्तीकौशल स्तर
4 hours
408
Learn how to efficiently collect and download data from any website using R.

course

Categorical Data in the Tidyverse

बुनियादीकौशल स्तर
4 hours
395
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.

course

Improving Your Data Visualizations in Python

मध्यवर्तीकौशल स्तर
4 hours
374
Learn to construct compelling and attractive visualizations that help communicate results efficiently and effectively.

course

Supply Chain Analytics in Python

मध्यवर्तीकौशल स्तर
4 hours
371
Leverage the power of Python and PuLP to optimize supply chains.

course

Monte Carlo Simulations in Python

मध्यवर्तीकौशल स्तर
4 hours
371
Learn to design and run your own Monte Carlo simulations using Python!

course

Time Series Analysis in Power BI

मध्यवर्तीकौशल स्तर
5 hours
371
Learn to analyze data over time with this practical course on Time Series Analysis in Power BI. Work with real datasets & practice common techniques.

course

Case Study: Analyzing Sales Data in Alteryx

बुनियादीकौशल स्तर
2 hours
349
Explore Alteryx Designer in a retail data case study to boost sales analysis and strategic decision-making.

course

Introduction to Python in Power BI

मध्यवर्तीकौशल स्तर
3 hours
338
Learn how to use Python scripts in Power BI for data prep, visualizations, and calculating correlation coefficients.

course

ARIMA Models in R

बुनियादीकौशल स्तर
4 hours
337
Become an expert in fitting ARIMA (autoregressive integrated moving average) models to time series data using R.

course

Case Study: Exploratory Data Analysis in R

बुनियादीकौशल स्तर
4 hours
330
Use data manipulation and visualization skills to explore the historical voting of the United Nations General Assembly.

course

Foundations of Inference in R

मध्यवर्तीकौशल स्तर
4 hours
329
Learn how to draw conclusions about a population from a sample of data via a process known as statistical inference.

course

Visualizing Geospatial Data in Python

मध्यवर्तीकौशल स्तर
4 hours
316
Learn how to make attractive visualizations of geospatial data in Python using the geopandas package and folium maps.

Data Analysis पर संबंधित संसाधन

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 मि॰

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 मि॰

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 मि॰

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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