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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

Advanced Probability: Uncertainty in Data

LanjutanTingkat Keterampilan
2 jam
235
Develop a better intuition for advanced probability, risk assessment, and simulation techniques to make data-driven business decisions with confidence.

Kursus

Manipulasi Data di KNIME

DasarTingkat Keterampilan
3 jam
225
Otomatiskan pengolahan data dengan KNIME, menguasai penggabungan data, agregasi, alur kerja basis data, dan penanganan file tingkat lanjut.

Kursus

A/B Testing in R

MenengahTingkat Keterampilan
4 jam
218
Learn the basics of A/B testing in R, including how to design experiments, analyze data, predict outcomes, and present results through visualizations.

Kursus

Analisis Faktor di R

LanjutanTingkat Keterampilan
4 jam
215
Jelajahi variabel laten, seperti kepribadian, menggunakan analisis faktor eksploratori dan konfiratori.

Kursus

Analisis Survival dengan Python

LanjutanTingkat Keterampilan
4 jam
211
Gunakan analisis kelangsungan hidup untuk mengolah data waktu hingga kejadian dan memprediksi waktu kelangsungan hidup.

Kursus

Format Bersyarat di Google Sheets

DasarTingkat Keterampilan
2 jam
190
Pelajari cara menggunakan pemformatan bersyarat pada data Anda melalui opsi bawaan dan dengan membuat rumus kustom.

Kursus

Inferensi untuk Data Numerik di R

LanjutanTingkat Keterampilan
4 jam
189
Dalam kursus ini, Anda akan mempelajari teknik-teknik untuk melakukan inferensi statistik pada data numerik.

Kursus

Analisis Keranjang Belanja di R

MenengahTingkat Keterampilan
4 jam
175
Jelajahi aturan asosiasi dalam analisis keranjang belanja menggunakan R dengan menganalisis data ritel dan membuat rekomendasi film.

Kursus

Analisis Deret Waktu di Tableau

MenengahTingkat Keterampilan
2 jam
175
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

Analisis Deret Waktu di PostgreSQL

MenengahTingkat Keterampilan
4 jam
174
Pelajari cara menggunakan PostgreSQL untuk mengelola analisis deret waktu secara efektif dan terapkan teknik-teknik ini pada data dunia nyata.

Kursus

Network Analysis in R

MenengahTingkat Keterampilan
4 jam
169
Learn to analyze and visualize network data with the igraph package and create interactive network plots with threejs.

Kursus

Inferensi untuk Data Kategorik di R

LanjutanTingkat Keterampilan
4 jam
156
Dalam kursus ini, Anda akan belajar cara memanfaatkan teknik statistik untuk bekerja dengan data kategorikal.

Kursus

Menangani Data Hilang dengan Imputasi di R

LanjutanTingkat Keterampilan
4 jam
146
Diagnosis, visualisasikan, dan atasi data yang hilang dengan berbagai teknik imputasi, disertai tips untuk meningkatkan hasil Anda.

Kursus

Studi Kasus dalam Pemikiran Statistik

MenengahTingkat Keterampilan
4 jam
140
Take vital steps towards mastery as you apply your statistical thinking skills to real-world data sets and extract actionable insights from them.

Kursus

Discrete Event Simulation in Python

LanjutanTingkat Keterampilan
4 jam
139
Discover the power of discrete-event simulation in optimizing your business processes. Learn to develop digital twins using Pythons SimPy package.

Kursus

Latihan Pertanyaan Wawancara Statistik di R

LanjutanTingkat Keterampilan
4 jam
119
In this course, youll prepare for the most frequently covered statistical topics from distributions to hypothesis testing, regression models, and much more.

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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