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Productivity
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Data Science

Impact Refinement for Jr. Data Visualization Specialists

Who is it for :
Jr. Data Visualizati...
Trusted by Industry Leaders Worldwide: Our Clients

Initiative Components: Holistic Coverage Across the Dimensions!

AntWalk Productivity Initiative Advantage
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Consulting Led Success Profile Building

One single platform to do a seamless 30-60-90 day onboarding journey across learning, practice, assessment & application tracking of learning to on-the-ground everyday actions

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SP Content Creation

Ability to build a curated learning journey with org. specific content along with role specific content

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Customer Success

Drive large scale deployment systematically and seamlessly even with a lean L&D team

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Key Competencies to be Assessed

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Curriculum

Module 1

Basic Visual Design Skills

  • Introduction to Basic Design Tools: Learn the fundamentals of design software and tools for creating visual content
  • Understanding Core Design Principles: Explore essential design principles for creating clean and functional visualizations
  • Creating Simple and Functional Visualizations: Focus on crafting straightforward visualizations for effective communication
  • Applying Key Features of Design Software: Master essential features of design tools to enhance your visual projects
  • User and Accessibility Requirements in Design: Understand and incorporate user experience and accessibility standards into design work
  • Module 2

    Data Visualization 101

  • Fundamentals of Data Visualization: Learn the basic principles of creating clear and effective visual representations
  • Visualizing Multidimensional Data: Gain skills in visualizing complex, multidimensional datasets using basic tools
  • Temporal Data Visualization: Focus on techniques for creating visual representations of time-based data
  • Geospatial Data Visualization: Learn to create effective visualizations for geographic and spatial data
  • Using Basic Tools and Techniques: Apply fundamental tools and techniques for effective data visualization across various disciplines
  • Module 3

    Data Visualization Collaboration Tools & Frameworks

  • Foundational Knowledge in Collaboration Platforms: Learn the basics of collaboration tools that facilitate teamwork in visualization projects
  • Understanding Version Control Systems: Acquire foundational skills in version control to manage changes and collaborate effectively on visualizations
  • Introduction to Visualization Frameworks: Explore basic visualization frameworks that support the creation and manipulation of visual data
  • Supporting Basic Visualization Tasks: Focus on how these tools and frameworks can assist in performing fundamental visualization tasks
  • Integrating Tools for Effective Visualization: Learn to combine collaboration platforms, version control, and visualization frameworks for enhanced workflow
  • Module 4

    Visualization Development and Deployment

  • Acquiring Foundational Skills in Design Tools: Learn the basics of essential design tools in a structured environment
  • Understanding Core Design Principles: Focus on fundamental design principles for creating effective visual content
  • Applying Basic Techniques in Controlled Settings: Practice and apply design techniques in controlled and guided environments
  • Building Confidence with Design Tools: Gain hands-on experience with foundational tools to enhance your design capabilities
  • Learning Basic User and Accessibility Requirements: Understand the importance of user experience and accessibility in early-stage design
  • Module 5

    AWS Data Analytics and Visualization

  • Data Preparation and Visualization in QuickSight: Learn to prepare and visualize data using Amazon QuickSight for effective analysis
  • Understanding Elasticsearch Concepts: Grasp Elasticsearch fundamentals, including deploying clusters, ingesting data, and performing queries
  • Amazon Athena for Querying S3 Data: Understand how to use Amazon Athena to query S3 data, write SQL queries, and manage partitions
  • Real-Time Data Streaming with Amazon Kinesis Analytics: Learn to configure Amazon Kinesis data streams and process data using simple queries for real-time insights
  • Monitoring Elasticsearch Performance: Focus on monitoring and optimizing the performance of Elasticsearch clusters
  • Module 6

    Data Visualization using Power BI

  • Connecting Data in Power BI: Learn how to connect to various data sources using Power BI
  • Basic Data Visualization in Power BI: Understand and apply basic visualization techniques to represent data effectively
  • Performing Elementary Data Transformations: Learn to perform simple data transformations for analysis in Power BI
  • Creating Basic Reports in Power BI: Develop basic reports to present insights from your data
  • Publishing Data in Power BI: Learn how to publish and share your data visualizations and reports
  • Module 7

    Transform Data: Tableau

  • Introduction to Tableau: Learn the basic functionalities of Tableau for data visualization
  • Setting Up Data Connections: Understand how to connect Tableau to various data sources
  • Creating Simple Dashboards: Develop skills to create and customize basic dashboards in Tableau
  • Foundational Data Visualization Techniques: Acquire the fundamental techniques for visualizing data in Tableau
  • Navigating Tableau Interface: Learn to navigate Tableau's interface efficiently to enhance productivity
  • Module 8

    Data Visualization using AWS Quicksight

  • Introduction to AWS QuickSight Interface: Gain a foundational understanding of the AWS QuickSight interface and its features
  • Connecting Data in QuickSight: Learn how to connect various data sources to AWS QuickSight for analysis
  • Basic Visualization Techniques: Develop skills to create visualizations using common chart types in QuickSight
  • Preparing Data for Visualization: Understand how to import and prepare data for effective visualization
  • Publishing and Managing Access: Learn how to share and publish dashboards while managing access permissions
  • Module 9

    QlikView: Data Analysis

  • Introduction to QlikView Interface: Gain a foundational understanding of QlikView's interface and navigation
  • Data Loading in QlikView: Learn the basics of loading data into QlikView for analysis
  • Basic Visualization Techniques: Develop skills to create simple visualizations using QlikView's basic capabilities
  • Creating Simple Data Models: Build basic data models to support your visualizations
  • Initial Data Transformations: Perform initial data transformations to prepare for advanced analysis
  • Key tools Covered

    Gain Insights From Our  Experts

    Client Testimonials

    Intelligent and adaptive content , superb platform and brilliant resources. It was an excellent experience working with the Antwalk team,

    S

    Samar Banerjee

    Star Cement

    AntWalk invested a lot of time in the first project, even before we had signed up. This went a long way in showing their commitment to this partnership. The cherry on the cake was that they'd done exceptionally detailed work!

    V

    Varsha Gandhi

    Kotak Mahindra Bank Ltd

    Very well planned and well-coordinated Program. Liked the proactive approach of the team. The idea of recording the session and giving it to the participants was highly useful.

    S

    Subhashish Biswas

    Balrampur Chini Mills

    All your queries Answered

    How does AntWalk help in assessing employee skills?
    Can AntWalk be used across different industries?
    What types of functions and subfunctions can AntWalk assess?
    Can AntWalk help in onboarding new employees?
    What support does AntWalk offer to clients?
    How can AntWalk help with training needs analysis?
    Can AntWalk be integrated with our existing HR or LMS systems?
    Can the platform be white labeled?
    Is AntWalk suitable for small and medium-sized enterprises (SMEs)?
    I don't want to run any assessments right away, but I want to get the competency framework done for some of the roles in the organization. Would you be able to do that?
    How does AntWalk know which competencies are required for which roles in my organization?
    Is it possible for me to add /modify / delete any competency from the already created framework.
    A particular competency may be relevant for a junior role as well as a senior role, albeit in a more advanced way. How do you manage that.
    I am looking at a large-scale deployment. Do you support that?
    Do you also support providing training?
    Do you provide support in delivering the program?
    I want to explore AntWalk Offerings. How do I get in touch with you?
    AntWalk can create customized assessments tailored to specific industries, functions, and subfunctions. These assessments help in evaluating the current skill levels of employees and identifying areas where improvement is needed.

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