Combine datasets using KNIME’s merging techniques, which include concatenation, lookups, and joins. These methods reduce manual errors and ensure consistent data preparation. You will learn to automate these workflows, saving time and effort.

Konkatenasi, Lookup, dan Join

Opsi

Concatenation

Lookup

Tugas Konkatenasi dan Lookup

Praktik penggabungan data di KNIME

Menggabungkan tabel dengan konkatenasi

Lookup dengan Dictionary

Menggabungkan data yang berbeda

Concatenation, Lookups, and Joins

Master aggregation and pivoting to summarize and restructure data for deeper insights. Explore advanced tools to manage multiple files, automate processes, and handle large datasets.

Introduction to Aggregating and Pivoting

Calculate the total sales with Row Aggregator

Aggregate data with GroupBy and Pivot nodes

Simple aggregations

Multi-level aggregations

Complex aggregations

Explore advanced tools to manage multiple files, automate processes, and handle large datasets.

Advanced data reading and writing with KNIME

Choosing the correct file writing node in KNIME

Hands-on advanced data reading and writing

Importing multiple CSV files

Writing data KNIME's .table

Transferring files

Advanced Data Reading and Writing

Use database operations to filter, join, and update data at the source to ensure speed and accuracy. Optimize your workflows, and keep your data ready for analysis and reporting.

Introduction to database operations in KNIME

Manipulating data in databases

Hands-on database tasks in KNIME

Connecting to databases

Filtering data in databases

Joining two database tables

Writing back to databases

Congratulations!

Introduction to Database Operations

Exercises and Datasets

DataCamp vs. Local Experience

Siap merevolusi alur kerja data Anda dan menghilangkan tugas manual yang rawan kesalahan? Kursus ini dirancang bagi para profesional yang ingin mengotomatisasi manipulasi data menggunakan KNIME, bahkan tanpa pengalaman pemrograman. Anda akan mempelajari cara menggabungkan dan mentransformasi data dari berbagai sumber, mengagregasi wawasan dengan pivot, memperlancar penanganan file, dan berinteraksi secara efisien dengan basis data. Pada akhir kursus, Anda akan memiliki keterampilan untuk membangun alur kerja yang andal guna menghemat waktu, meningkatkan akurasi, dan mendorong produktivitas. Cocok untuk analis, citizen data scientists, dan siapa pun yang bekerja dengan data!


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    <p>In today’s fast-paced world, data professionals need tools to automate repetitive tasks and handle diverse datasets efficiently. KNIME provides a no-code platform to transform, analyze, and manage data seamlessly. This course is designed to empower you with practical KNIME skills, from basic data merging to advanced database operations, enabling you to enhance productivity and accuracy.</p>

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    <h2>Master data merging and aggregation</h2>

    <p>Start your journey by learning to merge datasets using concatenation, lookups, and joins. You’ll build workflows that ensure consistent and accurate data handling. Progress to aggregation techniques like pivots and groupings, unlocking valuable insights by restructuring and summarizing your data.</p>

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    <h2>Streamline file handling and database management</h2>

    <p>Dive into advanced data input and output workflows, including importing multiple files, automating file management with Utility nodes, and writing data in formats like Excel, CSV, and KNIME-native .table. Discover the power of database-level operations, such as filtering and joining, to process data with speed and precision.</p>

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    <h2>Build confidence in data automation</h2>

    <p>By the end of this course, you will advance your KNIME skills to confidently automate workflows, streamline data processes, and tackle complex datasets effectively. Whether you’re an analyst, citizen data scientist, or data engineer, this course provides the skills to boost productivity and easily uncover insights.</p>  

Data Transformation in KNIME

Permudah manipulasi data dengan KNIME: kuasai penggabungan, agregasi, alur kerja basis data, dan otomatisasi.

Manipulasi Data di KNIME

Otomatiskan pengolahan data dengan KNIME, menguasai penggabungan data, agregasi, alur kerja basis data, dan penanganan file tingkat lanjut.

KNIME Fundamentals

Menumpuk dua tabel data penjualan regional

Menambahkan data penjualan bulan baru ke laporan penjualan yang sudah ada

Menggabungkan beberapa himpunan data survei pelanggan

Menggabungkan detail produk dengan data penjualan menggunakan ID produk

Menambahkan informasi pelanggan ke data transaksi berdasarkan ID pelanggan

Mengambil data harga ke tabel produk menggunakan nomor produk bersama

Tugas Konkatenasi dan Lookup

Manipulasi Data di KNIME

Latihan interaktif praktis