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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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Kursus

Pivot Table di Google Sheets

DasarTingkat Keterampilan
4.8+
775
2 jam
Pelajari cara membuat tabel pivot dan dengan cepat mengorganisir ribuan titik data hanya dengan beberapa klik.

Kursus

A/B Testing in Python

MenengahTingkat Keterampilan
4.7+
759
4 jam
Learn the practical uses of A/B testing in Python to run and analyze experiments. Master p-values, sanity checks, and analysis to guide business decisions.

Kursus

Transformasi Data di Alteryx

DasarTingkat Keterampilan
4.8+
756
2 jam
Buka potensi Alteryx untuk transformasi data, menguasai Crosstab, Transpose, dan optimasi alur kerja dalam kursus interaktif ini.

Kursus

Pengantar Basis Data di Python

MenengahTingkat Keterampilan
4.7+
737
4 jam
Dalam kursus ini, Anda akan mempelajari dasar-dasar basis data relasional dan cara berinteraksi dengannya.

Kursus

Peramalan di R

DasarTingkat Keterampilan
4.8+
732
5 jam
Pelajari cara membuat prediksi tentang masa depan menggunakan analisis deret waktu dalam R, termasuk model ARIMA dan metode smoothing eksponensial.

Kursus

Manipulasi Data di Alteryx

DasarTingkat Keterampilan
4.8+
716
3 jam
Mengelola data menggunakan union, join, parsing, dan optimasi kinerja di Alteryx.

Kursus

Pemodelan dengan Data di Tidyverse

MenengahTingkat Keterampilan
4.8+
704
4 jam
Pelajari berbagai jenis pemodelan data, termasuk untuk prediksi, dan pelajari cara melakukan regresi linier serta pengukuran penilaian model dalam Tidyverse.

Kursus

Dasar-dasar Probabilitas di R

DasarTingkat Keterampilan
4.8+
671
4 jam
Dalam kursus ini, Anda akan mempelajari konsep-konsep variabel acak, distribusi, dan pengkondisian.

Kursus

Google Sheets Tingkat Menengah

DasarTingkat Keterampilan
4.8+
669
4 jam
Perluas pengetahuan Anda tentang Google Sheets dengan memahami lebih dalam tentang jenis data, termasuk data numerik, data logis, dan data yang hilang.

Kursus

Visualisasi Data di Databricks

DasarTingkat Keterampilan
4.7+
657
3 jam
Buat visualisasi dan dasbor dinamis dengan Databricks, mengubah data mentah menjadi wawasan yang jelas dan dapat ditindaklanjuti.

Kursus

Bekerja dengan Data Geospasial di Python

MenengahTingkat Keterampilan
4.8+
655
4 jam
Kursus ini akan menunjukkan kepada Anda cara mengintegrasikan data spasial ke dalam alur kerja Data Science Python Anda.

Kursus

Aljabar Linear untuk Data Science di R

MenengahTingkat Keterampilan
4.7+
650
4 jam
Mata kuliah ini merupakan pengenalan terhadap aljabar linier, salah satu topik matematika paling penting yang mendasari ilmu data.

Kursus

SQL Menengah untuk Kueri dengan AI

DasarTingkat Keterampilan
4.9+
625
3 jam
Kembangkan keterampilan SQL dengan menulis prompt AI yang menghasilkan kueri untuk mengurutkan, mengelompokkan, menyaring, dan mengkategorikan data.

Kursus

Pengantar Oracle SQL

DasarTingkat Keterampilan
4.8+
597
4 jam
Asah keterampilan Anda dalam Oracle SQL, termasuk dasar-dasar SQL, pengelompokan data, penggabungan data, dan penyesuaian data.

Kursus

Tipe Data dan Fungsi di Snowflake

MenengahTingkat Keterampilan
4.8+
590
3 jam
Pelajari tipe data dan fungsi Snowflake untuk memanipulasi teks, angka, dan tanggal saat membangun fungsi kustom dan tabel pivot.

Kursus

Pengantar Polars

DasarTingkat Keterampilan
4.8+
587
3 jam
Pelajari cara mengolah, membersihkan, dan menganalisis data secara efisien menggunakan Polars, sebuah perpustakaan Python untuk manipulasi data yang cepat.

Kursus

Fungsi Window di Snowflake

MenengahTingkat Keterampilan
4.8+
578
3 jam
Temukan fungsi jendela Snowflake untuk menyelesaikan masalah data kompleks dengan peringkat, partisi, dan perhitungan bergulir.

Kursus

Pengantar Bioconductor di R

MenengahTingkat Keterampilan
4.8+
538
4 jam
Pelajari cara menggunakan paket Bioconductor yang penting untuk bioinformatika menggunakan dataset dari virus, jamur, manusia, dan tumbuhan!

Kursus

Teknik Statistik di Tableau

MenengahTingkat Keterampilan
4.8+
515
4 jam
Tingkatkan keterampilan pelaporan Anda ke level berikutnya dengan fungsi statistik bawaan Tableau.

Kursus

Model Linear Tergeneralisasi di R

MenengahTingkat Keterampilan
4.8+
510
4 jam
Mata kuliah Model Linier Umum memperluas kotak alat regresi Anda untuk mencakup regresi logistik dan regresi Poisson.

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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