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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+
1.840 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

Peramalan di R

DasarTingkat Keterampilan
4.8+
56 ulasan
5 jam
Pelajari cara membuat prediksi tentang masa depan menggunakan analisis deret waktu dalam R, termasuk model ARIMA dan metode smoothing eksponensial.

Kursus

Calculations in Sigma

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

Kursus

Dasar-dasar Inferensi di R

MenengahTingkat Keterampilan
4.7+
58 ulasan
4 jam
Pelajari cara menarik kesimpulan tentang suatu populasi dari sampel data melalui suatu proses yang dikenal sebagai inferensi statistik.

Kursus

Teknik Statistik di Tableau

MenengahTingkat Keterampilan
4.8+
702 ulasan
4 jam
Tingkatkan keterampilan pelaporan Anda ke level berikutnya dengan fungsi statistik bawaan Tableau.

Kursus

Pengantar Python di Power BI

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

Kursus

Fungsi Window di Snowflake

MenengahTingkat Keterampilan
4.8+
575 ulasan
3 jam
Temukan fungsi jendela Snowflake untuk menyelesaikan masalah data kompleks dengan peringkat, partisi, dan perhitungan bergulir.

Kursus

Analisis Data Bayesian dengan Python

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

Kursus

Analisis Deret Waktu di Power BI

MenengahTingkat Keterampilan
4.7+
288 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+
196 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

Simulasi Monte Carlo di Python

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

Kursus

Visualisasi Data Baseball di Power BI

DasarTingkat Keterampilan
4.8+
219 ulasan
1 jam
Discover how to analyze and visualize baseball data using Power BI. Create scatter plots, tornado charts, and gauges to bring baseball insights alive.

Kursus

Analisis Deret Waktu dengan R

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

Kursus

RNA-Seq dengan Bioconductor di R

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

Kursus

Menganalisis Data Media Sosial dengan Python

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

Kursus

Dasar-dasar Analisis Data Bayesian di R

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

Kursus

Deteksi Anomali dengan Python

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

Kursus

Perancangan Eksperimen di R

MenengahTingkat Keterampilan
4.7+
365 ulasan
4 jam
Dalam kursus ini, Anda akan mempelajari tentang desain eksperimen dasar, yang merupakan bagian penting dari analisis data.

Kursus

Pemodelan dengan Data di Tidyverse

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

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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