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

Program

Analis Data Asisten dalam SQL

4.7+
194 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

Manipulasi Data dengan data.table di R

DasarTingkat Keterampilan
4.7+
24 ulasan
4 jam
Menguasai konsep dasar tentang manipulasi data, seperti penyaringan, pemilihan, dan perhitungan statistik kelompok menggunakan data.table.

Kursus

Menganalisis Data Survei di R

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

Kursus

Generalized Linear Models di Python

LanjutanTingkat Keterampilan
4.7+
148 ulasan
5 jam
Extend your regression toolbox with the logistic and Poisson models and learn to train, understand, and validate them, as well as to make predictions.

Kursus

Pengujian A/B di R

MenengahTingkat Keterampilan
4.8+
97 ulasan
4 jam
Pelajari dasar-dasar pengujian A/B di R, termasuk cara merancang eksperimen, menganalisis data, memprediksi hasil, dan menyajikan hasil lewat visualisasi.

Kursus

Studi Kasus dalam Pemikiran Statistik

MenengahTingkat Keterampilan
4.8+
87 ulasan
4 jam
Terapkan keterampilan berpikir statistik Anda pada data dunia nyata untuk menguasai langkah-langkah penting dan menghasilkan wawasan yang dapat ditindaklanjuti.

Kursus

Manipulasi Data di KNIME

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

Kursus

Analisis Faktor di R

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

Kursus

Analisis Survival dengan Python

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

Kursus

Memvisualisasikan Data Deret Waktu di R

MenengahTingkat Keterampilan
4.8+
186 ulasan
4 jam
Pelajari cara memvisualisasikan data time series di R, lalu praktikkan dengan studi kasus pemilihan saham.

Kursus

Data Kategorikal di Tidyverse

DasarTingkat Keterampilan
4.8+
180 ulasan
4 jam
Siap untuk mengategorikan! Di kursus ini, Anda akan bekerja dengan data non-numerik, seperti jabatan atau respons survei, menggunakan Tidyverse.

Kursus

Analisis Deret Waktu di PostgreSQL

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

Kursus

Format Bersyarat di Google Sheets

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

Kursus

Analisis Deret Waktu di Tableau

MenengahTingkat Keterampilan
4.7+
163 ulasan
2 jam
Pelajari cara mengklasifikasi, memproses, dan menganalisis time series—kunci untuk berkembang sebagai profesional analytics.

Kursus

Studi Kasus: Analitik Rantai Pasok di Tableau

MenengahTingkat Keterampilan
4.7+
72 ulasan
4 jam
Dive into our Tableau case study on supply chain analytics. Tackle shipment, inventory management, and dashboard creation to drive business improvements.

Kursus

Menganalisis Data Survei di Python

MenengahTingkat Keterampilan
4.7+
57 ulasan
4 jam
Pelajari cara menganalisis data survei menggunakan Python dan temukan kapan tepatnya untuk menerapkan alat statistik yang bersifat deskriptif dan inferensial.

Kursus

Studi Kasus: Analisis Jaringan di R

DasarTingkat Keterampilan
4.7+
50 ulasan
4 jam
Terapkan konsep dasar analisis jaringan pada dataset dunia nyata yang besar dalam 4 studi kasus yang berbeda.

Kursus

Analisis Keranjang Belanja di R

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

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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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