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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
4.8+
3.1K
8 jam
Tingkatkan keterampilan Tableau Anda dengan analitik lanjutan dan visualisasi.

Program

Analis Data Asisten dalam SQL

51.9K
39 jam
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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Cari Kursus dan Track Data Analysis

Kursus

Dasar-dasar Inferensi di R

MenengahTingkat Keterampilan
4.7+
501
4 jam
Pelajari cara menarik kesimpulan tentang suatu populasi dari sampel data melalui suatu proses yang dikenal sebagai inferensi statistik.

Kursus

Analisis Data Bayesian dengan Python

MenengahTingkat Keterampilan
4.7+
494
4 jam
Pelajari semua tentang keunggulan analisis data Bayesian, dan terapkan pada berbagai kasus nyata di dunia nyata!

Kursus

Visualizations in Sigma

DasarTingkat Keterampilan
4.8+
482
2 jam
Learn to build and customize Sigma charts to tell clear, compelling data stories—no coding required.

Kursus

Web Scraping di R

MenengahTingkat Keterampilan
4.7+
480
4 jam
Pelajari cara mengumpulkan dan mengunduh data secara efisien dari situs web mana pun menggunakan R.

Kursus

Studi Kasus: Analitik Rantai Pasok di Power BI

DasarTingkat Keterampilan
4.8+
475
4 jam
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

RNA-Seq dengan Bioconductor di R

MenengahTingkat Keterampilan
4.7+
475
4 jam
Gunakan analisis ekspresi diferensial RNA-Seq untuk mengidentifikasi gen yang kemungkinan besar berperan penting dalam berbagai penyakit atau kondisi.

Kursus

Menangani Data Hilang di R

DasarTingkat Keterampilan
4.7+
472
4 jam
Jadikan lebih mudah untuk memvisualisasikan, mengeksplorasi, dan mengisi data yang hilang dengan naniar, pendekatan yang ramah tidyverse untuk data yang hilang.

Kursus

Manipulasi Data dengan data.table di R

DasarTingkat Keterampilan
4.7+
472
4 jam
Menguasai konsep dasar tentang manipulasi data, seperti penyaringan, pemilihan, dan perhitungan statistik kelompok menggunakan data.table.

Kursus

Data Processing in Shell

MenengahTingkat Keterampilan
4.8+
463
4 jam
Learn powerful command-line skills to download, process, and transform data, including machine learning pipeline.

Kursus

Praktik Terbaik Visualisasi di R

DasarTingkat Keterampilan
4.8+
458
4 jam
Learn to effectively convey your data with an overview of common charts, alternative visualization types, and perception-driven style enhancements.

Kursus

Pengantar Spark SQL dalam Python

LanjutanTingkat Keterampilan
4.7+
458
4 jam
Pelajari cara memanipulasi data dan membuat kumpulan fitur machine learning di Spark menggunakan SQL dalam Python.

Kursus

Pengantar Pemodelan Linear di Python

MenengahTingkat Keterampilan
4.7+
458
4 jam
Jelajahi konsep dan penerapan model linier dengan Python, dan bangun model untuk menggambarkan, memprediksi, dan mengekstrak wawasan dari pola data.

Kursus

Rekayasa Fitur dengan PySpark

LanjutanTingkat Keterampilan
4.8+
454
4 jam
Pelajari detail-detail teknis yang memakan 70-80% waktu para ilmuwan data; pengolahan data dan rekayasa fitur.

Kursus

Intermediate Importing Data in R

MenengahTingkat Keterampilan
4.8+
444
3 jam
Parse data in any format. Whether its flat files, statistical software, databases, or data right from the web.

Kursus

Berkomunikasi dengan Data di Tidyverse

DasarTingkat Keterampilan
4.8+
430
4 jam
Leverage the power of tidyverse tools to create publication-quality graphics and custom-styled reports that communicate your results.

Kursus

Perancangan Eksperimen di R

MenengahTingkat Keterampilan
4.7+
428
4 jam
Dalam kursus ini, Anda akan mempelajari tentang desain eksperimen dasar, yang merupakan bagian penting dari analisis data.

Kursus

Menangani Data Hilang di Python

MenengahTingkat Keterampilan
4.8+
426
4 jam
Pelajari cara mengidentifikasi, menganalisis, menghapus, dan mengisi data yang hilang dalam Python.

Kursus

Dasar-Dasar Probabilitas di Python

MenengahTingkat Keterampilan
4.8+
419
5 jam
Pelajari konsep dasar probabilitas seperti variabel acak, rata-rata dan varians, distribusi probabilitas, dan probabilitas bersyarat.

Kursus

Generalized Linear Models di Python

LanjutanTingkat Keterampilan
4.7+
410
5 jam
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

Visualizing Geospatial Data in Python

MenengahTingkat Keterampilan
4.7+
406
4 jam
Learn how to make attractive visualizations of geospatial data in Python using the geopandas package and folium maps.

Kursus

Deteksi Anomali dengan Python

MenengahTingkat Keterampilan
4.8+
394
4 jam
Deteksi anomali dalam analisis data Anda dan perluas koleksi alat statistik Python Anda dalam kursus berdurasi empat jam ini.

Kursus

Pengantar Analisis Jaringan di Python

MenengahTingkat Keterampilan
4.7+
384
4 jam
Kursus ini akan membekali Anda dengan keterampilan untuk menganalisis, memvisualisasikan, dan memahami jaringan menggunakan perpustakaan NetworkX.

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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