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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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Coba DataCamp for Business

Recommended for Data Analysis beginners

Build your Data Analysis skills with interactive courses, curated by real-world experts

Kursus

Menganalisis Data di Tableau

DasarTingkat Keterampilan
8 jam
3.3K

Program

Analis Data Asisten dalam SQL

39 jam
56.9K
Dapatkan keterampilan SQL yang Anda butuhkan untuk mengakses database, menganalisis hasilnya, dan menjadi Analis Data yang mahir dalam SQL. Tidak diperlukan pengalaman pemrograman sebelumnya!

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Kursus

Manipulasi Data di Alteryx

DasarTingkat Keterampilan
3 jam
518
Mengelola data menggunakan union, join, parsing, dan optimasi kinerja di Alteryx.

Kursus

Praktik Terbaik Visualisasi di R

DasarTingkat Keterampilan
4 jam
495
Learn to effectively convey your data with an overview of common charts, alternative visualization types, and perception-driven style enhancements.

Kursus

Intermediate Importing Data in R

MenengahTingkat Keterampilan
3 jam
495
Parse data in any format. Whether its flat files, statistical software, databases, or data right from the web.

Kursus

RNA-Seq dengan Bioconductor di R

MenengahTingkat Keterampilan
4 jam
491
Gunakan analisis ekspresi diferensial RNA-Seq untuk mengidentifikasi gen yang kemungkinan besar berperan penting dalam berbagai penyakit atau kondisi.

Kursus

Deteksi Anomali dengan Python

MenengahTingkat Keterampilan
4 jam
485
Deteksi anomali dalam analisis data Anda dan perluas koleksi alat statistik Python Anda dalam kursus berdurasi empat jam ini.

Kursus

Pengantar Spark SQL dalam Python

LanjutanTingkat Keterampilan
4 jam
482
Pelajari cara memanipulasi data dan membuat kumpulan fitur machine learning di Spark menggunakan SQL dalam Python.

Kursus

Studi Kasus: Analitik Rantai Pasok di Power BI

MenengahTingkat Keterampilan
4 jam
463
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.

Kursus

Teknik Statistik di Tableau

MenengahTingkat Keterampilan
4 jam
452
Tingkatkan keterampilan pelaporan Anda ke level berikutnya dengan fungsi statistik bawaan Tableau.

Kursus

Web Scraping di R

MenengahTingkat Keterampilan
4 jam
427
Pelajari cara mengumpulkan dan mengunduh data secara efisien dari situs web mana pun menggunakan R.

Kursus

Generalized Linear Models di Python

LanjutanTingkat Keterampilan
5 jam
425
Extend your regression toolbox with the logistic and Poisson models and learn to train, understand, and validate them, as well as to make predictions.

Kursus

Rekayasa Fitur dengan PySpark

LanjutanTingkat Keterampilan
4 jam
420
Pelajari detail-detail teknis yang memakan 70-80% waktu para ilmuwan data; pengolahan data dan rekayasa fitur.

Kursus

Data Kategorikal di Tidyverse

DasarTingkat Keterampilan
4 jam
404
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.

Kursus

Analisis Deret Waktu di Power BI

MenengahTingkat Keterampilan
5 jam
385
Learn to analyze data over time with this practical course on Time Series Analysis in Power BI. Work with real datasets & practice common techniques.

Kursus

Simulasi Monte Carlo di Python

MenengahTingkat Keterampilan
4 jam
373
Pelajari cara merancang dan menjalankan simulasi Monte Carlo Anda sendiri menggunakan Python!

Kursus

Dasar-dasar Inferensi di R

MenengahTingkat Keterampilan
4 jam
364
Pelajari cara menarik kesimpulan tentang suatu populasi dari sampel data melalui suatu proses yang dikenal sebagai inferensi statistik.

Kursus

Model ARIMA di R

DasarTingkat Keterampilan
4 jam
354
Jadilah ahli dalam menerapkan model ARIMA (Autoregressive Integrated Moving Average) pada data deret waktu menggunakan R.

Kursus

Pengantar Python di Power BI

MenengahTingkat Keterampilan
3 jam
351
Pelajari cara menggunakan skrip Python di Power BI untuk persiapan data, visualisasi, dan perhitungan koefisien korelasi.

Sumber daya terkait dengan Data Analysis

blogs

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 mnt

blogs

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 mnt

Tutorials

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 mnt

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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