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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

Data Analysis in Google Sheets

DasarTingkat Keterampilan
4.8+
1.6K
3 jam
Learn to use Google Sheets to clean, analyze, and draw insights from data. Discover how to sort, filter, and use VLOOKUP to combine data.

Kursus

Regresi Tingkat Menengah di R

MenengahTingkat Keterampilan
4.7+
1.6K
4 jam
Pelajari cara melakukan regresi linier dan logistik dengan beberapa variabel penjelas.

Kursus

Pengantar SQL dengan AI

DasarTingkat Keterampilan
4.8+
1.6K
3 jam
Pelajari SQL dengan AI dengan menulis prompt, menghasilkan kueri, dan menganalisis data untuk memecahkan masalah dunia nyata.

Kursus

Persiapan Data di Alteryx

DasarTingkat Keterampilan
4.8+
1.6K
3 jam
Menguasai persiapan, pembersihan, dan analisis data master di Alteryx Designer, baik Anda seorang analis pemula maupun berpengalaman.

Kursus

Power Query Menengah di Excel

MenengahTingkat Keterampilan
4.7+
1.5K
4 jam
Berdasarkan pengetahuan dasar Anda tentang Power Query di Excel, kursus menengah ini akan membawa Anda ke tingkat berikutnya dalam menguasai transformasi data.

Kursus

Memahami Excel

DasarTingkat Keterampilan
4.8+
1.5K
1 jam
Pelajari dasar-dasar Excel dengan cepat: navigasi lembar kerja, terapkan rumus, analisis data, dan buat grafik pertama Anda!

Kursus

Pemasukan Data yang Efisien dengan pandas

MenengahTingkat Keterampilan
4.8+
1.4K
4 jam
Pelajari cara mengumpulkan data dari format file dan sistem umum seperti file CSV, spreadsheet, JSON, basis data SQL, dan API.

Kursus

Mengubah Bentuk Data dengan pandas

MenengahTingkat Keterampilan
4.8+
1.3K
4 jam
Ubah format DataFrame dari format lebar ke format panjang, susun dan urutkan baris dan kolom, serta olah DataFrame dengan indeks ganda.

Kursus

Analisis Deret Waktu dengan Python

MenengahTingkat Keterampilan
4.8+
1.2K
4 jam
Dalam kursus berdurasi empat jam ini, Anda akan mempelajari dasar-dasar analisis data deret waktu menggunakan Python.

Kursus

Membersihkan Data di R

MenengahTingkat Keterampilan
4.7+
1.2K
4 jam
Pelajari cara membersihkan data dengan cepat dan akurat agar Anda dapat beralih dari data mentah menjadi wawasan yang luar biasa.

Kursus

Reshaping Data with tidyr

MenengahTingkat Keterampilan
4.8+
1.1K
4 jam
Transform almost any dataset into a tidy format to make analysis easier.

Kursus

Membuat Database PostgreSQL

DasarTingkat Keterampilan
4.8+
1.1K
4 jam
Pelajari cara membuat basis data PostgreSQL dan jelajahi strukturnya, jenis data, serta cara menormalisasi basis data.

Kursus

Menganalisis Kampanye Pemasaran dengan pandas

DasarTingkat Keterampilan
4.7+
1K
4 jam
Asah keterampilan Anda dalam mengelola data dan jawab pertanyaan pemasaran dengan menggabungkan, memotong, memvisualisasikan, dan banyak lagi!

Kursus

Introduction to KNIME

DasarTingkat Keterampilan
4.8+
1K
3 jam
Learn to use the KNIME Analytics Platform for data access, cleaning, and analysis with a no-code/low-code approach.

Kursus

Sampling di R

MenengahTingkat Keterampilan
4.7+
989
4 jam
Menguasai teknik sampling untuk mendapatkan statistik yang lebih akurat dengan data yang lebih sedikit.

Kursus

Manipulasi Data di Snowflake

DasarTingkat Keterampilan
4.8+
949
2 jam
Menguasai teknik manipulasi dan analisis data utama seperti pernyataan CASE, subquery, dan CTEs di Snowflake.

Kursus

Analisis Deret Waktu dengan R

MenengahTingkat Keterampilan
4.8+
940
4 jam
Pelajari teknik-teknik inti yang diperlukan untuk mengekstrak wawasan yang bermakna dari data deret waktu.

Kursus

Pengantar Statistik di Google Sheets

DasarTingkat Keterampilan
4.8+
934
4 jam
Learn how to leverage statistical techniques using spreadsheets to more effectively work with and extract insights from your data.

Kursus

Data Visualization in Tableau

DasarTingkat Keterampilan
4.7+
928
6 jam
Data visualization is one of the most desired skills for data analysts. This course allows you to present your findings better using Tableau.

Kursus

Model ARIMA di R

DasarTingkat Keterampilan
4.8+
883
4 jam
Jadilah ahli dalam menerapkan model ARIMA (Autoregressive Integrated Moving Average) pada data deret waktu menggunakan R.

Kursus

Menghubungkan Data di Tableau

DasarTingkat Keterampilan
4.8+
864
3 jam
Pelajari cara menghubungkan Tableau ke berbagai sumber data dan mempersiapkan data untuk analisis yang lancar.

Kursus

Memanipulasi Data Deret Waktu di R

MenengahTingkat Keterampilan
4.8+
823
4 jam
Menguasai manipulasi data time series di R, termasuk mengimpor, merangkum, dan memotong data, menggunakan paket zoo, lubridate, dan xts.

Kursus

Perhitungan di Tableau

LanjutanTingkat Keterampilan
4.7+
789
6 jam
Dalam kursus interaktif ini, Anda akan belajar cara menggunakan fungsi untuk perhitungan Tableau Anda dan kapan Anda harus menggunakannya!

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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