Data Analysis Training Courses in Indonesia

Data Analysis Training Courses

Online or onsite, instructor-led live Data Analysis (Analysis of Data or Data Analytics) training courses demonstrate through discussion and hands-on practice the programming languages and methodologies used to perform Data Analysis.

Data Analysis training is available as "online live training" or "onsite live training". Online live training (aka "remote live training") is carried out by way of an interactive, remote desktop. Onsite live Data Analysis trainings in Indonesia can be carried out locally on customer premises or in NobleProg corporate training centers.

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Data Analysis Course Outlines in Indonesia

Course Name
Duration
Overview
Course Name
Duration
Overview
21 hours
This instructor-led, live training in Indonesia (online or onsite) is aimed at beginner-level data engineers, analysts, and scientists who wish to understand how to use dbt Cloud to manage their data warehousing and transformation projects in the cloud. By the end of this training, participants will be able to:
  • Create and manage projects on dbt Cloud.
  • Use the dbt Cloud interface to schedule and run data transformations.
  • Collaborate on projects with team members.
  • Deploy their dbt projects to production.
  • Debug and troubleshoot dbt projects.
14 hours
This instructor-led, live training in Indonesia (online or onsite) is aimed at data engineers and analysts who wish to learn beginner to intermediate-level knowledge of using AWS Glue to set up a data pipeline. By the end of this training, participants will be able to:
  • Understand the fundamentals of AWS Glue.
  • Set up an AWS Glue pipeline.
  • Set up AWS Glue crawlers and jobs.
  • Learn how to use AWS Glue transformations.
35 hours
This instructor-led, live training in Indonesia (online or onsite) is aimed at data analysts and anyone who is interested to learn how to use and integrate Tableau, Python, R, and SQL for data visualization and analysis. By the end of this training, participants will be able to:
  • Perform data analysis using Python, R, and SQL.
  • Create insights through data visualization with Tableau.
  • Make data-driven decisions for business operations.
21 hours
This instructor-led, live training in Indonesia (online or onsite) is aimed at analysts who wish to use TM1 to analyze and customize reports and templates for data in a database. By the end of this training, participants will be able to:
  • Learn how to analyze data using IBM Planning Analytics.
  • Create custom views of the data in a database.
  • Build reports and forms that communicate with TM1.
14 hours
This instructor-led, live training in Indonesia (online or onsite) is aimed at data analysts and data scientists who wish to use the MongoDB Aggregation Framework to perform data analysis while simplifying complex operations and aggregation pipelines. By the end of this training, participants will be able to:
  • Install and configure MongoDB for data analysis.
  • Understand the concepts and stages of the MongoDB Aggregation Framework.
  • Learn about the basic structure, syntax, and operations for aggregation.
  • Learn how to handle advanced operations in aggregation.
  • Apply some optimization tools and techniques to improve aggregation performance.
14 hours
This instructor-led, live training in Indonesia (online or onsite) is aimed at developers and system administrators who wish to learn and use Sisense for big data manipulation and visualization. By the end of this training, participants will be able to:
  • Learn the fundamental concepts of Sisense and how it works.
  • Create a Sisense dashboard to visualize big data and execute data-driven business decisions.
  • Merge and manage data from multiple sources.
  • Utilize Sisense for quick data manipulation and visualization.
14 hours
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.
14 hours
This instructor-led, live training in Indonesia (online or onsite) is aimed at business professionals who wish to learn intermediate-level skills for managing organizational charts using OrgPlus 6. By the end of this training, participants will be able to:
  • Handle large data sets with sophisticated formatting tools.
  • Create data visualization reports and directories.
  • Use OrgPlus printing, exporting, and publishing features.
  • Navigate complex charts with ease.
14 hours
This instructor-led, live training in Indonesia (online or onsite) is aimed at data analysts or anyone who wishes to use AWS QuickSight data analysis and visualization. By the end of this training, participants will be able to:
  • Understand the basic concepts of AWS QuickSight.
  • Use AWS QuickSight to create data analysis, reports, and insights.
  • Use AWS to create relationships between data for enhanced analysis.
  • Learn different types of visualizations in understanding data.
14 hours
This instructor-led, live training in Indonesia (online or onsite) is aimed at data scientists and developers who wish to use and integrate SQL, Python, and Tableau to perform complex data analysis, processing, and visualization. By the end of this training, participants will be able to:
  • Set up the necessary environment to perform data analysis with SQL, Python, and Tableau.
  • Understand the key concepts of software integration (data, servers, clients, APIs, endpoints, etc.).
  • Get a refresher on the fundamentals of Python and SQL.
  • Perform data pre-processing techniques in Python.
  • Learn how to connect Python and SQL for data analysis.
  • Create insightful data visualizations and charts with Tableau.
14 hours
This instructor-led, live training in Indonesia (online or onsite) is aimed at beginner to advanced-level MicroStrategy architects who wish to develop schemas, change management, and use modeling tools to manage the development cycle of MicroStrategy apps. By the end of this training, participants will be able to:
  • Fully understand the concepts and architecture of data warehousing.
  • Understand how to use analytics, desktop objects, and schemas.
  • Build and maintain MicroStrategy projects.
14 hours
This instructor-led, live training in Indonesia (online or onsite) is aimed at data scientists and data analysts who wish to learn how to use each tool in the developer tool palette in Alteryx Designer. By the end of this training, participants will be able to:
  • Learn to use and configure all the tools in the developer tab.
  • Design efficient workflows in Alteryx using the dynamic, validation, and testing tools.
  • Learn how to use API tools to download and parse web data.
  • Use Alteryx scripting tools, including Python and R.
7 hours
This instructor-led, live training in Indonesia (online or onsite) is aimed at data analysts who wish to perform product and user analysis using Mixpanel. By the end of this training, participants will be able to:
  • Learn how to use Mixpanel as a web analytics tool.
  • Understand the Mixpanel concepts and implementation.
  • Understand and interpret event data.
14 hours
This instructor-led, live training in Indonesia (online or onsite) is aimed at analysts who wish to use Matomo to perform web analytics tasks such as generating a detailed report on the usage of a website. By the end of this training, participants will be able to:
  • Understand how Matomo works in analyzing web data.
  • Learn how data is collected and tracked with Matomo.
  • Understand and interpret Matomo reports.
7 hours
This instructor-led, live training in Indonesia (online or onsite) is aimed at developers who wish to learn how Datadog works in monitoring servers, databases, and cloud-based applications and services. By the end of this training, participants will be able to:
  • Learn and understand how the Datadog monitoring tool works.
  • Understand the Datadog core concepts and features.
  • Configure Datadog for infrastructure monitoring and account management.
  • Use Datadog Application Performance Monitoring (APM) and continuous profiling.
14 hours
This instructor-led, live training in Indonesia (online or onsite) is aimed at data scientists and developers who wish to set up, deploy, and manage data analytics solutions using Databricks. By the end of this training, participants will be able to:
  • Set up and configure Databricks.
  • Understand how Databricks and Apache Spark work together.
  • Learn how to load and transform data in Databricks.
14 hours
This instructor-led, live training in Indonesia (online or onsite) is aimed at data analysts or anyone who wishes to use SPSS Modeler to perform data mining activities. By the end of this training, participants will be able to:
  • Understand the fundamentals of data mining.
  • Learn how to import and assess data quality with the Modeler.
  • Develop, deploy, and evaluate data models efficiently.
35 hours
Participants who complete this instructor-led, live training in Indonesia will gain a practical, real-world understanding of Big Data and its related technologies, methodologies and tools. Participants will have the opportunity to put this knowledge into practice through hands-on exercises. Group interaction and instructor feedback make up an important component of the class. The course starts with an introduction to elemental concepts of Big Data, then progresses into the programming languages and methodologies used to perform Data Analysis. Finally, we discuss the tools and infrastructure that enable Big Data storage, Distributed Processing, and Scalability.
21 hours
R is a very popular, open source environment for statistical computing, data analytics and graphics. This course introduces R programming language to students.  It covers language fundamentals, libraries and advanced concepts.  Advanced data analytics and graphing with real world data. Audience Developers / data analytics Duration 3 days Format Lectures and Hands-on
14 hours
This instructor-led, live training in Indonesia is aimed at software developers who wish to build search and analytics solutions using Elasticsearch. The training starts with a discussion of the Elasticsearch architecture, including its distributed model and search API. This is followed by an explanation of Elasticsearch's functionality and how to best integrate it into an existing application. Hands-on exercises make up an important part of the training, and give participants a chance to put into practice their knowledge while receiving feedback on their implementation and progress.
7 hours
This course covers how to use Hive SQL language (AKA: Hive HQL, SQL on Hive, HiveQL) for people who extract data from Hive
35 hours
In the first part of this training, we cover the fundamentals of MATLAB and its function as both a language and a platform.  Included in this discussion is an introduction to MATLAB syntax, arrays and matrices, data visualization, script development, and object-oriented principles. In the second part, we demonstrate how to use MATLAB for data mining, machine learning and predictive analytics. To provide participants with a clear and practical perspective of MATLAB's approach and power, we draw comparisons between using MATLAB and using other tools such as spreadsheets, C, C++, and Visual Basic. In the third part of the training, participants learn how to streamline their work by automating their data processing and report generation. Throughout the course, participants will put into practice the ideas learned through hands-on exercises in a lab environment. By the end of the training, participants will have a thorough grasp of MATLAB's capabilities and will be able to employ it for solving real-world data science problems as well as for streamlining their work through automation. Assessments will be conducted throughout the course to gauge progress. Format of the Course
  • Course includes theoretical and practical exercises, including case discussions, sample code inspection, and hands-on implementation.
Note
  • Practice sessions will be based on pre-arranged sample data report templates. If you have specific requirements, please contact us to arrange.
14 hours
Audience Analysts, researchers, scientists, graduates and students and anyone who is interested in learning how to facilitate statistical analysis in Microsoft Excel. Course Objectives This course will help improve your familiarity with Excel and statistics and as a result increase the effectiveness and efficiency of your work or research. This course describes how to use the Analysis ToolPack in Microsoft Excel, statistical functions and how to perform basic statistical procedures. It will explain what Excel limitation are and how to overcome them.
35 hours
Participants who complete this training will gain a practical, real-world understanding of Data Science and its related technologies, methodologies and tools. Participants will have the opportunity to put this knowledge into practice through hands-on exercises. Group interaction and instructor feedback make up an important component of the class. The course starts with an introduction to elemental concepts of Data Science, then progresses into the tools and methodologies used in Data Science. Audience
  • Developers
  • Technical analysts
  • IT consultants
Format of the Course
  • Part lecture, part discussion, exercises and heavy hands-on practice
Note
  • To request a customized training for this course, please contact us to arrange.
7 hours
This instructor-led, live training in Indonesia (online or onsite) is aimed at data analysts who wish to learn techniques for preparing data in Excel, then visualizing it in Power BI. By the end of this training, participants will be able to:
  • Understand the principles of data analysis, objectives of data analysis, and approaches for data analysis.
  • Use DAX formulas in Power BI for complex calculations.
  • Create and use visualizations and charts for particular analysis cases.
  • Import with Power View to move from Excel based Power BI to independent Power BI.
42 hours
Data analytics is a crucial tool in business today. We will focus throughout on developing skills for practical hands on data analysis. The aim is to help delegates to give evidence-based answers to questions:  What has happened?
  • processing and analyzing data
  • producing informative data visualizations
What will happen?
  • forecasting future performance
  • evaluating forecasts
What should happen?
  • turning data into evidence-based business decisions
  • optimizing processes
The course itself can be delivered either as a 6 day classroom course or remotely over a period of weeks if preferred. We can work with you to deliver the course to best suit your needs.
14 hours
Pandas is a Python package that provides data structures for working with structured (tabular, multidimensional, potentially heterogeneous) and time series data.
21 hours
It is estimated that unstructured data accounts for more than 90 percent of all data, much of it in the form of text. Blog posts, tweets, social media, and other digital publications continuously add to this growing body of data. This instructor-led, live course centers around extracting insights and meaning from this data. Utilizing the R Language and Natural Language Processing (NLP) libraries, we combine concepts and techniques from computer science, artificial intelligence, and computational linguistics to algorithmically understand the meaning behind text data. Data samples are available in various languages per customer requirements. By the end of this training participants will be able to prepare data sets (large and small) from disparate sources, then apply the right algorithms to analyze and report on its significance.
Format of the Course
  • Part lecture, part discussion, heavy hands-on practice, occasional tests to gauge understanding
14 hours
This instructor-led, live training (online or onsite) is aimed at HR professionals and recruitment specialists who wish to use analytical methods improve organisational performance. This course covers qualitative as well as quantitative, empirical and statistical approaches. Format of the Course
  • Interactive lecture and discussion.
  • Lots of exercises and practice.
Course Customization Options
  • To request a customized training for this course, please contact us to arrange.
28 hours
R is a popular programming language in the financial industry. It is used in financial applications ranging from core trading programs to risk management systems. In this instructor-led, live training, participants will learn how to use R to develop practical applications for solving a number of specific finance related problems. By the end of this training, participants will be able to:
  • Understand the fundamentals of the R programming language
  • Select and utilize R packages and techniques to organize, visualize, and analyze financial data from various sources (CSV, Excel, databases, web, etc.)
  • Build applications that solve problems related to asset allocation, risk analysis, investment performance and more
  • Troubleshoot, integrate deploy and optimize an R application
Audience
  • Developers
  • Analysts
  • Quants
Format of the course
  • Part lecture, part discussion, exercises and heavy hands-on practice
Note
  • This training aims to provide solutions for some of the principle problems faced by finance professionals. However, if you have a particular topic, tool or technique that you wish to append or elaborate further on, please please contact us to arrange.

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