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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

Analisis Survival di R

MenengahTingkat Keterampilan
4.7+
248
4 jam
Learn to work with time-to-event data. The event may be death or finding a job after unemployment. Learn to estimate, visualize, and interpret survival models!

Kursus

Analitik Pemasaran di Tableau

MenengahTingkat Keterampilan
4.8+
244
6 jam
Menguasai analisis pemasaran menggunakan Tableau. Analisis kinerja, bandingkan metrik, dan optimalkan strategi di berbagai saluran.

Kursus

Analyzing IoT Data in Python

MenengahTingkat Keterampilan
4.8+
235
4 jam
Learn how to import, clean and manipulate IoT data in Python to make it ready for machine learning.

Kursus

Network Analysis in R

MenengahTingkat Keterampilan
4.7+
235
4 jam
Learn to analyze and visualize network data with the igraph package and create interactive network plots with threejs.

Kursus

Kesalahan dan Ketidakpastian di Google Sheets

MenengahTingkat Keterampilan
4.7+
234
4 jam
Learn to distinguish real differences from random noise, and explore psychological crutches we use that interfere with our rational decision making.

Kursus

Analisis Deret Waktu di Tableau

MenengahTingkat Keterampilan
4.7+
227
2 jam
In this course, you’ll learn to classify, treat and analyze time series; an absolute must, if you’re serious about stepping up as an analytics professional.

Kursus

Manipulasi Data di KNIME

DasarTingkat Keterampilan
4.8+
226
3 jam
Otomatiskan pengolahan data dengan KNIME, menguasai penggabungan data, agregasi, alur kerja basis data, dan penanganan file tingkat lanjut.

Kursus

Simulasi Statistik di Python

MenengahTingkat Keterampilan
4.8+
225
4 jam
Belajar untuk memecahkan masalah yang semakin kompleks dengan menggunakan simulasi untuk menghasilkan dan menganalisis data.

Kursus

Menganalisis Data Media Sosial dengan Python

MenengahTingkat Keterampilan
4.8+
215
4 jam
Dalam kursus ini, Anda akan belajar cara mengumpulkan data Twitter dan menganalisis teks Twitter, jaringan, serta asal geografisnya.

Kursus

Analisis Survival dengan Python

LanjutanTingkat Keterampilan
4.7+
193
4 jam
Gunakan analisis kelangsungan hidup untuk mengolah data waktu hingga kejadian dan memprediksi waktu kelangsungan hidup.

Kursus

Memvisualisasikan Data Geospasial di R

MenengahTingkat Keterampilan
4.5+
191
4 jam
Pelajari cara membaca, mengeksplorasi, dan memanipulasi data spasial, lalu gunakan keterampilan Anda untuk membuat peta informatif menggunakan R.

Kursus

Dasar-dasar Inferensi di Python

LanjutanTingkat Keterampilan
4.8+
189
4 jam
Dapatkan pengalaman praktis dalam membuat kesimpulan yang akurat berdasarkan data dalam kursus empat jam ini tentang inferensi statistik menggunakan Python.

Kursus

Format Bersyarat di Google Sheets

DasarTingkat Keterampilan
4.8+
185
2 jam
Pelajari cara menggunakan pemformatan bersyarat pada data Anda melalui opsi bawaan dan dengan membuat rumus kustom.

Kursus

Analisis Deret Waktu di PostgreSQL

MenengahTingkat Keterampilan
4.8+
181
4 jam
Pelajari cara menggunakan PostgreSQL untuk mengelola analisis deret waktu secara efektif dan terapkan teknik-teknik ini pada data dunia nyata.

Kursus

Analisis Keranjang Belanja di R

MenengahTingkat Keterampilan
4.8+
177
4 jam
Jelajahi aturan asosiasi dalam analisis keranjang belanja menggunakan R dengan menganalisis data ritel dan membuat rekomendasi film.

Kursus

Data Transformation with Polars

MenengahTingkat Keterampilan
4.9+
170
4 jam
Take Polars further with text manipulation, rolling statistics, DataFrame joins, and advanced analytics.

Kursus

Menangani Data Hilang dengan Imputasi di R

LanjutanTingkat Keterampilan
4.7+
161
4 jam
Diagnosis, visualisasikan, dan atasi data yang hilang dengan berbagai teknik imputasi, disertai tips untuk meningkatkan hasil Anda.

Kursus

Studi Kasus: Analisis E-niaga di Tableau

MenengahTingkat Keterampilan
4.7+
145
3 jam
In ecommerce, increasing sales and reducing expenses are top priorities. In this case study, youll investigate data from an online pet supply company.

Kursus

Menganalisis Data Media Sosial dengan R

MenengahTingkat Keterampilan
4.8+
135
4 jam
Ekstrak dan visualisasikan data Twitter, lakukan analisis sentimen dan jaringan, serta peta lokasi geografis tweet Anda.

Kursus

Discrete Event Simulation in Python

LanjutanTingkat Keterampilan
4.7+
135
4 jam
Discover the power of discrete-event simulation in optimizing your business processes. Learn to develop digital twins using Pythons SimPy package.

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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