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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+
1.719 ulasan
8 jam
Tingkatkan keterampilan Tableau Anda dengan analitik lanjutan dan visualisasi.

Program

Analis Data Asisten dalam SQL

4.7+
181 ulasan
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

Pemrosesan Data di Shell

MenengahTingkat Keterampilan
4.8+
516 ulasan
4 jam
Pelajari keterampilan command-line yang kuat untuk mengunduh, memproses, dan mengubah data, termasuk pipeline machine learning.

Kursus

Analisis Deret Waktu di SQL Server

MenengahTingkat Keterampilan
4.8+
386 ulasan
5 jam
Jelajahi cara bekerja dengan data tanggal dan waktu di SQL Server untuk analisis deret waktu

Kursus

Praktik Terbaik Visualisasi di R

DasarTingkat Keterampilan
4.8+
334 ulasan
1 jam
Pelajari cara menyampaikan data Anda secara efektif dengan gambaran umum bagan umum, jenis visualisasi alternatif, dan peningkatan gaya berbasis persepsi.

Kursus

Calculations in Sigma

DasarTingkat Keterampilan
4.8+
169 ulasan
2 jam
Build dynamic Sigma calculations to explore data, automate logic, and uncover trends with practical business examples.

Kursus

Analisis Deret Waktu dengan R

MenengahTingkat Keterampilan
4.8+
90 ulasan
4 jam
Pelajari teknik-teknik inti yang diperlukan untuk mengekstrak wawasan yang bermakna dari data deret waktu.

Kursus

Analisis Data Bayesian dengan Python

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

Kursus

Pengantar Analisis Jaringan di Python

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

Kursus

RNA-Seq dengan Bioconductor di R

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

Kursus

Pengantar Python di Power BI

MenengahTingkat Keterampilan
4.8+
147 ulasan
3 jam
Pelajari cara menggunakan skrip Python di Power BI untuk persiapan data, visualisasi, dan perhitungan koefisien korelasi.

Kursus

Dasar-dasar Analisis Data Bayesian di R

MenengahTingkat Keterampilan
4.8+
219 ulasan
4 jam
Pelajari apa itu analisis data Bayesian, cara kerjanya, dan mengapa ini alat yang berguna di kotak peralatan data science Anda.

Kursus

Analisis Deret Waktu di Power BI

MenengahTingkat Keterampilan
4.7+
273 ulasan
5 jam
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

Dasar-Dasar Probabilitas di Python

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

Kursus

Simulasi Monte Carlo di Python

MenengahTingkat Keterampilan
4.7+
166 ulasan
4 jam
Pelajari cara merancang dan menjalankan simulasi Monte Carlo Anda sendiri menggunakan Python!

Kursus

Analisis Faktor di R

LanjutanTingkat Keterampilan
4.7+
159 ulasan
4 jam
Jelajahi variabel laten, seperti kepribadian, menggunakan analisis faktor eksploratori dan konfiratori.

Kursus

Memanipulasi Data Deret Waktu di R

MenengahTingkat Keterampilan
4.8+
291 ulasan
4 jam
Menguasai manipulasi data time series di R, termasuk mengimpor, merangkum, dan memotong data, menggunakan paket zoo, lubridate, dan xts.

Kursus

Deteksi Anomali dengan Python

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

Kursus

Peramalan di R

DasarTingkat Keterampilan
4.9+
52 ulasan
5 jam
Pelajari cara membuat prediksi tentang masa depan menggunakan analisis deret waktu dalam R, termasuk model ARIMA dan metode smoothing eksponensial.

Kursus

Pemrosesan Bahasa Lisan dengan Python

MenengahTingkat Keterampilan
4.8+
276 ulasan
4 jam
Pelajari cara memuat, mengolah, dan mentranskrip ucapan dari berkas audio mentah menggunakan Python.

Kursus

Rekayasa Fitur dengan PySpark

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

Kursus

Pemodelan dengan Data di Tidyverse

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

Kursus

Menganalisis Data Survei di R

MenengahTingkat Keterampilan
4.8+
220 ulasan
4 jam
Pelajari desain survei menggunakan struktur desain umum, lalu visualisasikan dan analisis hasil survei.

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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