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

Program

Analis Data Asisten dalam SQL

4.7+
172 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

Pengantar Analisis Jaringan di Python

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

Kursus

Pengantar Python di Power BI

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

Kursus

Analyzing Survey Data in R

MenengahTingkat Keterampilan
4.8+
212 ulasan
4 jam
Learn survey design using common design structures followed by visualizing and analyzing survey results.

Kursus

Praktik Terbaik Visualisasi di R

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

Kursus

Analisis Deret Waktu di Power BI

MenengahTingkat Keterampilan
4.8+
258 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

Studi Kasus: Analitik Rantai Pasok di Power BI

DasarTingkat Keterampilan
4.8+
178 ulasan
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

Web Scraping di R

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

Kursus

Data Transformation with Polars

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

Kursus

Studi Kasus: Analisis Persediaan di Power BI

MenengahTingkat Keterampilan
4.7+
166 ulasan
5 jam
Studi kasus Power BI ini menguraikan penerapan nyata dalam bisnis untuk menganalisis persediaan menggunakan DAX dan visualisasi.

Kursus

Pengantar Pemodelan Linear di Python

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

Kursus

A/B Testing in R

MenengahTingkat Keterampilan
4.8+
90 ulasan
4 jam
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 Survival di R

MenengahTingkat Keterampilan
4.7+
188 ulasan
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

Berkomunikasi dengan Data di Tidyverse

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

Kursus

Network Analysis in R

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

Kursus

Inferensi untuk Data Numerik di R

LanjutanTingkat Keterampilan
4.8+
101 ulasan
4 jam
Dalam kursus ini, Anda akan mempelajari teknik-teknik untuk melakukan inferensi statistik pada data numerik.

Kursus

Advanced Probability: Uncertainty in Data

LanjutanTingkat Keterampilan
4.8+
147 ulasan
2 jam
Develop a better intuition for advanced probability, risk assessment, and simulation techniques to make data-driven business decisions with confidence.

Kursus

Inferensi untuk Data Kategorik di R

LanjutanTingkat Keterampilan
4.8+
107 ulasan
4 jam
Dalam kursus ini, Anda akan belajar cara memanfaatkan teknik statistik untuk bekerja dengan data kategorikal.

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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