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In-Depth Data Analysis with Looker Studio

Navigate, Visualize, and Extract Valuable Insights from Your Data.

  • Schedule

    12 – 14 August 2024
    09.00 – 16.00 WIB

  • Algoritma Training Center

    RDTX Square 9th Floor, Jl. Prof. DR. Satrio No.164, Karet Semanggi, Setiabudi, Jakarta Selatan, 12930

  • Investment

    Rp. 5.550.000

15

Hours Course

WORKSHOP STARTS IN

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Overview:

This intensive training program is curated to empower participants with advanced proficiency in Looker, a leading data exploration and visualization tool. Designed for individuals of varying expertise, attendees will learn to create interactive dashboards, customize Looker for specific business needs, and effectively administer and scale Looker instances. 

Upon completion, participants will possess the skills to extract actionable insights, enabling data-driven decisions and enhancing their organization’s business intelligence capabilities significantly.

Course Syllabus

  • Overview of Looker Studio: Gain insights into the features and capabilities of Looker Studio for effective data analysis and visualization.
  • Key Terminology and Concepts: Familiarize yourself with essential terminologies and concepts within Looker, laying the foundation for in-depth understanding.
  • Navigating the Looker Interface: Learn to navigate the Looker interface, enabling seamless exploration of data and dashboards.
  • Understanding the Looker Workflow: Grasp the sequential steps involved in Looker’s workflow, ensuring a systematic approach to data analysis.
  • Elements of a Looker Dashboard: Explore the components that constitute a Looker dashboard, including visualizations and interactive elements.
  • Getting Started with Looker: Acquire fundamental skills to initiate analysis, empowering participants to dive into data exploration.
  • Looker Data Model: Get to know the basics of Looker’s data model, understanding how data is structured and connected for analysis.
  • Creating Connections to Data Sources: Master the art of linking Looker to different data sources, ensuring your analyses are always based on fresh and relevant data.
  • Building Data Models: Dive into building data models within Looker, giving you the power to explore and analyze your data in meaningful ways.
  • Modifying Data Attributes: Learn tricks to tweak data attributes, ensuring your data is just right for the analysis you want to perform.
  • Data Filtering in Looker: Delve into advanced data filtering techniques, refining datasets to focus on specific criteria.
  • Creating Date Filters: Understand date filtering methods to extract time-based insights, crucial for trend analysis and forecasting.
  • Sorting Data: Organize data effectively for clear insights.
  • Using Dimensions and Measures: Gain expertise in utilizing dimensions and measures effectively, enhancing the granularity of data analysis.
  • Creating Looker Explores: Extract insights from diverse datasets using Looker Explores.
  • Building Visualizations in Looker: Learn to create compelling visualizations, transforming raw data into insightful charts and graphs.
  • Creating Charts and Graphs: Explore different chart types for varied data representation.
  • Customizing Visualization Options: Explore customization features, allowing participants to tailor visualizations according to specific requirements.
  • Adding Filters and Parameters: Understand how filters and parameters enhance visualization interactivity, enabling dynamic data exploration.
  • Leveraging Data Visualization for Business Insights: Harness the power of visual data representation to extract meaningful business insights, aiding decision-making processes.
  • Interpreting Data Trends: Develop skills to interpret data trends, identifying patterns and anomalies crucial for strategic planning.
  • Identifying Key Metrics: Learn to pinpoint key metrics, enabling participants to focus on essential data points for actionable analysis.
  • Creating Actionable Insights: Techniques for transforming raw data into actionable insights, empowering participants to drive data-informed decisions within their organizations.
  • Exploring Data Trends with Time-Series Analysis: Master time-series analysis techniques, uncovering temporal patterns within datasets.
  • Analyzing Cohort Analysis: Dive into cohort analysis methodologies, understanding user behavior and segment-specific trends.
  • Creating Funnel Analysis: Explore funnel analysis to visualize user journeys, identifying bottlenecks and optimizing processes.
  • Utilizing Derived Tables for Advanced Analysis: Understand the utilization of derived tables for complex, in-depth data analysis, facilitating advanced insights extraction.
  • Building Looker Dashboards: Develop skills to construct visually appealing and informative dashboards, presenting data in an accessible manner.
  • Adding Interactivity with Filters and Parameters: Enhance dashboard interactivity by incorporating filters and parameters, enabling dynamic user engagement.
  • Creating Actionable Dashboards: Learn to design dashboards that drive actionable outcomes, facilitating data-driven decision-making.
  • Dashboard Best Practices: Explore best practices in dashboard design, ensuring clarity, effectiveness, and user engagement.
  • Deploying Looker at Scale: Understand the process of deploying Looker at scale, ensuring seamless integration into organizational workflows.
  • Managing Multi-Tenant Environments: Gain insights into managing multi-tenant environments within Looker, catering to diverse user groups.
  • Scaling Looker Infrastructure: Learn strategies to scale Looker infrastructure, ensuring optimal performance and efficiency in data analysis processes.
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Course Receivables:

  • Lecturer’s Notes

    Including Course Books (PDF), HTML files, course transcripts (if any).

  • Highly-accelerated Learning

    Learn under the assistance of mentorship of our lead instructor and a band of qualified teaching assistants throughout each course.

  • Certification of Completion

    Show current employer hat you’ve completed the course with a signed certificate of completion.

  • Quality Learning Environment

    We pay meticulous attention to the logistical details of our workshops: quality audio and visual setups, comfortable sitting arrangements, and small group size.

  • Refreshments & Coffee Break

    In our commitment to delivering a premium experience, we collaborate with leading catering services in Jakarta. Our aim is to ensure that all participants are served delectable lunches and revitalizing coffee breaks.

ABOUT THIS SERIES

Courses in this series cater to a diverse audience: from casual learners and working professionals to those venturing into data science and machine learning without a programming background.

We recognize that many students may not have prior expertise in statistics, mathematics, or algebra. Therefore, our courses are designed with a gentle learning curve, placing a strong emphasis on hands-on experience and individualized instruction. Our dedicated team of instructors and teaching assistants ensure personalized guidance every step of the way.

Teaching Methodology:

Students work through tons of real-life examples using sample datasets donated by our mentors and corporate partners. We believe in a learn-by-building approach, and we employ instructors who are uncompromisingly passionate about your growth and education.

Get In Touch

PT. Algoritma Data Indonesia.
RDTX Square, 9th Floor. Setiabudi, DKI Jakarta 12930.
WhatsApp: 0816-692-471
Email: community@algorit.ma

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