Data Science with Tableau and R Programming Training Course

This course teaches you about human perception and how to leverage it to deliver the best insights. You will get familiar with design theory, including Gestalt Laws, pre-attentive attributes, and inclusivity. You will also understand the similarities and differences between exploratory and explanatory analysis. You will discover the usage of the charts and learn how to choose the most suitable one. At the end of the course, you will know how to implement the design principles is visualizations created using Tableau software.

Pelatihan langsung yang dipimpin instruktur di Indonesia (online atau di lokasi) ditujukan untuk ilmuwan data dan pengembang yang ingin menggunakan dan mengintegrasikan SQL, Python, dan Tableau untuk melakukan analisis, pemrosesan, dan pemrosesan data yang kompleks visualisasi.

Pada akhir pelatihan ini, peserta akan mampu:

• Siapkan lingkungan yang diperlukan untuk melakukan analisis data dengan SQL, Python, dan Tableau.
• Memahami konsep utama integrasi perangkat lunak (data, server, klien, API, titik akhir, dll.).
• Dapatkan penyegaran tentang dasar-dasar Python dan SQL.
• Lakukan teknik pra-pemrosesan data pada Python.
• Pelajari cara menghubungkan Python dan SQL untuk analisis data.
• Buat visualisasi data dan bagan yang mendalam dengan Tableau.

This is a Tableau user beginners course; it is intended for anyone who is looking to work with data and is designed to help you use the main functions in Tableau.

During the course you will be able to:

• Connect to your data.
• Edit and save a data source.
• Understand Tableau terminology.
• Use the Tableau interface / paradigm to effectively create powerful visualizations.
• Create basic calculations including basic arithmetic calculations, custom aggregations and ratios, date math, and quick table calculations.
• Represent your data using the following visualization types:
  • Cross tabs
  • Geographic maps
  • Heat maps
  • Tree maps
  • Pie charts and bar charts
  • Dual axis and combined charts with different mark types
  • Highlight Tables
  • Scatter Plots
• Build dashboards to share visualizations.

Tableau helps people see and understand data.

In this instructor-led, live training in Indonesia, participants will learn how to extend the capabilities of Tableau to fit the specific needs of their organization.

By the end of this training, participants will be able to:

• Install and configure Tableau (Desktop, Server, Online.)
• Understand the fundamentals of developing with Tableau.
• Create and publish data visualizations and interactions with Tableau.
• Use Tableau's developer tools and APIs to customize and extend the capabilities of Tableau for their organization.

This instructor-led, live training in Indonesia (online or onsite) is aimed at data analysts and data scientists who wish to search, analyze, and visualize data using Tableau.

By the end of this training, participants will be able to:

• Connect to your data.
• Edit and save a data source.
• Understand Tableau terminology.
• Use the Tableau interface / paradigm to effectively create powerful visualizations.
• Create calculations including arithmetic calculations, custom aggregations and ratios, date math, and table calculations.
• Represent your data using different visualization types.
• Build dashboards to share visualizations.

This instructor-led, live training in Indonesia (online or onsite) is aimed at data analysts who wish to prepare and shape data using Tableau Prep Builder.

By the end of this training, participants will be able to:

• Install Tableau Prep.
• Understand and implement a Data Science Workflow.
• Read data from a variety of sources, such as Excel and databases.
• Prepare, shape and sample data for analysis in Tableau Desktop.
• Explore and validate data.
• Create and publish Tableau Prep flows.

Tableau adalah alat intelijen bisnis dan visualisasi data. Python adalah bahasa pemrograman yang banyak digunakan yang menyediakan dukungan untuk berbagai teknik statistik dan pembelajaran mesin. Kekuatan visualisasi data Tableau dan kemampuan pembelajaran mesin Python, ketika digabungkan, membantu pengembang dengan cepat membangun aplikasi analitik data tingkat lanjut untuk berbagai kasus penggunaan bisnis.

Dalam pelatihan langsung yang dipimpin oleh instruktur ini, peserta akan mempelajari cara menggabungkan Tableau dan Python untuk melakukan analitik tingkat lanjut. Integrasi Tableau dan Python akan dilakukan melalui API TabPy.

Pada akhir pelatihan ini, peserta akan dapat:

• Mengintegrasikan Tableau dan Python menggunakan API TabPy
• Menggunakan integrasi Tableau dan Python untuk menganalisis skenario bisnis kompleks dengan beberapa baris kode Python

Target Peserta

• Pengembang
• Ilmuwan data

Format Kursus

• Sebagian kuliah, sebagian diskusi, latihan, dan praktik langsung yang intensif

This instructor-led, live training in Indonesia (online or onsite) is aimed at intermediate to advanced-level data architects who wish to learn skills for installing, configuring, managing, and maintaining a Tableau server.

By the end of this training, participants will be able to:

• Have an in-depth understanding of the Tableau Server architecture.
• Understand Tableau Server processes and functions.
• User Tableau Server to automate tasks.
• Configure and manage the Tableau Server.
• Set up Tableau Server for high availability and scalability.

This instructor-led, live training in Indonesia (online or onsite) is aimed at beginner to intermediate-level data scientists and analysts who wish to learn how to utilize Tableau tools for data visualization and analysis. By the end of this training, participants will be able to: Connect multiple sources of data. Create basic data visualizations. Use basic to advanced calculations for data analysis. Learn best practices for using graphs and visualizations.

This course is designed for the learner who has never used Tableau before, or who may need a refresher.  It will guide you through the steps necessary to create your first visualization from the beginning. You will also learn how to apply essential design principles to your Tableau visualizations. By the end of the course, you will be able to create and share your insights with the broader audience.

Tableau helps people see and understand data.

Tableau helps people see and understand data.

The Tidyverse is a collection of versatile R packages for cleaning, processing, modeling, and visualizing data. Some of the packages included are: ggplot2, dplyr, tidyr, readr, purrr, and tibble.

In this instructor-led, live training, participants will learn how to manipulate and visualize data using the tools included in the Tidyverse.

By the end of this training, participants will be able to:

• Perform data analysis and create appealing visualizations
• Draw useful conclusions from various datasets of sample data
• Filter, sort and summarize data to answer exploratory questions
• Turn processed data into informative line plots, bar plots, histograms
• Import and filter data from diverse data sources, including Excel, CSV, and SPSS files

Audience

• Beginners to the R language
• Beginners to data analysis and data visualization

Format of the course

• Part lecture, part discussion, exercises and heavy hands-on practice

Ini adalah kursus 4 hari yang menarik untuk Tableau pemula. Selama kursus ini, Anda akan memahami semua fitur Tableau dan mempelajari cara membuat dan berbagi visualisasi data dengan orang lain. Kursus ini akan memandu Anda melalui semua langkah, termasuk menghubungkan ke data, membuat kalkulasi, memilih bagan, membuat dasbor, dan menerbitkan karya Anda.

Kursus ini dibagi menjadi kuliah yang didedikasikan untuk setiap topik, diikuti dengan latihan praktis. Kursus akan diakhiri dengan tes 30 menit dan tugas proyek 60 menit.

Tonggak kursus:

Kenali antarmuka Tableau. Terhubung ke dan bekerja dengan data Anda. Gunakan fitur Tableau. Bangun visualisasi yang berwawasan. Bagikan pekerjaan Anda dengan audiens yang lebih luas.

Format Kursus:

Kuliah dan diskusi interaktif. Banyak latihan dan latihan. Implementasi langsung di lingkungan lab langsung. Tes pengetahuan dan proyek langsung di akhir kursus