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7 Courses

Advanced Data Analysis with Pivot Tables and Dynamic Dashboards
Business Intelligence
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Business Intelligence

Advanced Data Analysis with Pivot Tables and Dynamic Dashboards

HRDC Registration Number: 10001392221
Duration: 14 Hours (2 Days)


Course Overview

This course provides hands-on training for leveraging Microsoft Excel to analyze large datasets and create dynamic dashboards. Participants will master advanced pivot tables, visualization techniques, and interactive dashboards to gain insights into business performance. Designed for experienced Excel users, this program equips attendees with the tools to slice and dice data effectively and make informed decisions.


Who Should Attend

Industries:

  • Finance
  • Marketing
  • Operations
  • Any data-driven environments

Participants:

  • Advanced Microsoft Excel users.
  • Professionals needing to create interactive dashboards and reports.

Why Choose This Course

This HRDC-claimable course (Reg. No: 10001392221) empowers participants to transform Excel into a robust business intelligence tool, enabling effective data visualization and decision-making.


Learning Outcomes

Participants will:

  • Understand dashboard design principles and avoid common mistakes.
  • Create and enhance pivot tables for dynamic data analysis.
  • Apply advanced charting techniques to visualize trends and performance.
  • Use sparklines and conditional formatting for impactful reporting.
  • Build interactive dashboards using Excel’s form controls and named ranges.

Prerequisites

  • Basic knowledge of Excel charts, pivot tables, functions, and formulas.

Lab Setup

  • Microsoft Excel installed on participant computers.

Teaching Methodology

  • Instructor-led lectures with demonstrations.
  • Hands-on labs and practical exercises.
  • Real-world case studies.
  • Q&A sessions for personalized guidance.

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  • Advanced Excel for Business Intelligence
    Business Intelligence
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    Business Intelligence

    Advanced Excel for Business Intelligence

    HRDC Registration Number: 10001468113
    Duration: 14 Hours (2 Days)


    Course Overview

    This course provides participants with advanced Excel skills tailored for Business Intelligence (BI). It focuses on data manipulation, analysis, and visualization using Excel’s features like Power Query, Power Pivot, and advanced charting. Participants will learn to automate tasks, create dynamic dashboards, and integrate Excel with other BI tools, enabling data-driven decision-making in a business context.


    Who Should Attend

    Industries:

    • Finance
    • Marketing
    • Operations
    • Data-driven environments

    Participants:

    • Business Analysts
    • Data Analysts
    • BI Professionals
    • Anyone seeking advanced Excel skills for BI applications

    Why Choose This Course

    This HRDC-claimable course (Reg. No: 10001468113) equips participants with practical skills to transform Excel into a powerful BI tool, enhancing data analysis and visualization capabilities.


    Learning Outcomes

    Participants will:

    • Apply advanced Excel functions for business intelligence.
    • Use Power Query to clean and transform data.
    • Build complex data models and analyze data with Power Pivot.
    • Design dynamic dashboards with advanced charting tools.
    • Automate repetitive tasks using macros and VBA scripting.
    • Integrate Excel with external data sources and BI tools.

    Prerequisites

    • Basic to intermediate knowledge of Excel.
    • Familiarity with basic data analysis concepts.

    Lab Setup

    • Computers with the latest version of Excel installed.
    • Access to Power Query and Power Pivot add-ins.
    • Sample datasets for hands-on practice.

    Teaching Methodology

    • Instructor-led lectures with demonstrations.
    • Hands-on labs and exercises.
    • Real-world case studies and group activities.
    • Q&A and interactive discussions.

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  • Analyzing Data with Microsoft Power BI
    Business Intelligence
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    Business Intelligence

    Analyzing Data with Microsoft Power BI

    HRDC Course Number: 10001307160
    Duration: 14 Hours (2 Days)


    Course Overview

    This course equips participants with the skills to model, visualize, and analyze data using Microsoft Power BI. Attendees will learn to access and process data from various sources, implement security standards, and manage and deploy reports for effective sharing and collaboration.


    Who Should Attend

    Industries:

    • Any industry requiring data analysis and visualization for decision-making.

    Participants:

    • Data Analysts
    • Business Analysts
    • IT Professionals
    • Individuals interested in Microsoft Power BI for data-driven insights

    Why Choose This Course

    This HRDC-claimable course (No: 10001307160) provides practical expertise in Power BI, enabling participants to handle data effectively and deliver impactful insights through dynamic reports and dashboards.


    Learning Outcomes

    Participants will:

    • Understand the role of data analytics and the Power BI portfolio.
    • Prepare, clean, and transform data for analysis.
    • Design and optimize data models for performance.
    • Use DAX for advanced calculations and real-time analytics.
    • Create professional reports and dashboards.
    • Identify patterns and trends using AI-powered visuals.
    • Manage and refresh datasets efficiently.

    Prerequisites

    • Understanding of core data concepts.
    • Familiarity with relational and non-relational data in the cloud.
    • Basic knowledge of data analysis and visualization concepts.

    Lab Setup

    • Software: Microsoft Power BI Desktop.
    • Resources: Sample datasets for practical exercises.

    Teaching Methodology

    • Interactive lectures and demonstrations.
    • Hands-on labs with Power BI.
    • Group activities and collaborative projects.
    • Real-world case studies and Q&A sessions.

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  • Data Scraping and Data Mining with Python
    Business Intelligence
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    Business Intelligence

    Data Scraping and Data Mining with Python

    HRDC Registration Number: 10001466994
    Duration: 21 Hours (3 Days)


    Course Overview

    This hands-on course provides a comprehensive introduction to data scraping and mining using Python. Participants will explore libraries like Beautiful Soup, Scrapy, and Selenium for data scraping, as well as data mining techniques like clustering, classification, and association rules. By the end of the course, attendees will have the skills to automate data extraction, clean data for analysis, and extract actionable insights for various applications.


    Who Should Attend

    Industries:

    • Technology
    • Finance
    • Marketing
    • Research
    • Data-driven industries

    Participants:

    • Data Analysts
    • Data Scientists
    • Software Developers
    • Researchers
    • Professionals seeking automation in data collection and analysis

    Why Choose This Course

    This HRDC-claimable course (Reg. No: 10001466994) offers practical skills in data scraping and mining, empowering participants to automate data workflows and analyze datasets for informed decision-making.


    Learning Outcomes

    Participants will:

    • Understand the fundamentals of data scraping and data mining.
    • Utilize Python libraries like Beautiful Soup, Scrapy, and Selenium for web scraping.
    • Apply clustering, classification, and association rule techniques in data mining.
    • Process and clean data for analysis using Python.
    • Automate data extraction and analysis workflows.
    • Gain insights from real-world datasets through practical applications.

    Prerequisites

    • Basic Python programming knowledge.
    • Familiarity with HTML and web page structures.
    • Basic understanding of data analysis concepts.

    Lab Setup

    • Software: Python environment (Anaconda or similar), Jupyter Notebook.
    • Libraries: Beautiful Soup, Scrapy, Selenium, Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn.
    • Internet access for live data scraping exercises.

    Teaching Methodology

    • Interactive lectures with demonstrations.
    • Hands-on coding sessions and exercises.
    • Real-world case studies and projects.
    • Continuous assessments through quizzes and challenges.

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  • Data Visualization with Power BI
    Business Intelligence
    Preview Course

    Business Intelligence

    Data Visualization with Power BI

    HRDC Registration Number: 10001465517
    Duration: 21 Hours (3 Days)


    Course Overview

    This comprehensive course introduces participants to Microsoft Power BI, covering data visualization, interactive dashboards, and reporting techniques. Participants will learn to connect and transform data, build data models, and use DAX formulas. The program focuses on creating impactful visualizations that enable data-driven decisions and effective reporting across organizations.


    Who Should Attend

    Industries:

    • Suitable for any industry requiring data-driven decision-making and reporting.

    Participants:

    • Data Analysts
    • Business Analysts
    • IT Professionals
    • Anyone interested in learning data visualization with Power BI

    Why Choose This Course

    This HRDC-claimable course (Reg. No: 10001465517) provides practical skills to transform raw data into actionable insights using Power BI, enabling participants to design professional dashboards and reports.


    Learning Outcomes

    Participants will:

    • Understand Power BI components and workflow.
    • Connect, transform, and clean data using Power Query.
    • Build interactive dashboards and reports with effective visualizations.
    • Develop data models and relationships for analysis.
    • Utilize DAX formulas for calculated columns and measures.
    • Apply data visualization best practices for impactful reporting.
    • Share and publish reports securely across the organization.

    Prerequisites

    • Basic understanding of data analysis concepts.
    • Familiarity with Microsoft Excel or other data visualization tools is beneficial but not required.

    Lab Setup

    • Software: Power BI Desktop installed.
    • Resources: Sample datasets provided, internet access for online data sources and publishing.

    Teaching Methodology

    • Interactive lectures with demonstrations.
    • Hands-on labs and exercises after each module.
    • Group activities for collaborative learning.
    • Real-world case studies and projects.

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  • Introduction to Business Intelligence and Data Analysis
    Business Intelligence
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    Business Intelligence

    Introduction to Business Intelligence and Data Analysis

    HRDC Registration Number: 10001465518
    Duration: 14 Hours (2 Days)


    Course Overview

    This course provides a foundational understanding of Business Intelligence (BI) and Data Analysis. Participants will explore BI processes, tools, and techniques to analyze and visualize data effectively. Practical applications and real-world examples will empower attendees to make data-driven decisions that support business performance and strategy.


    Who Should Attend

    Industries:

    • Finance
    • Marketing
    • Retail
    • Manufacturing
    • Healthcare

    Participants:

    • Business professionals exploring BI and data analysis.
    • Aspiring data analysts and business analysts.
    • Managers and decision-makers leveraging data for strategic decisions.

    Why Choose This Course

    This HRDC-claimable course (Reg. No: 10001465518) equips participants with essential skills to harness BI tools, generate meaningful insights, and drive strategic business decisions through data visualization and analysis.


    Learning Outcomes

    Participants will:

    • Understand Business Intelligence concepts and their role in business.
    • Identify and utilize components of the BI process, including data collection and visualization.
    • Analyze data using BI tools to extract meaningful insights.
    • Apply best practices in data visualization to communicate findings effectively.
    • Make informed decisions driven by data analysis.

    Prerequisites

    • Basic understanding of business operations and terminology.
    • Familiarity with Microsoft Excel or similar spreadsheet tools.

    Lab Setup

    • Hardware: Computers with internet access.
    • Software: BI tools such as Microsoft Power BI or Tableau.
    • Sample datasets for hands-on exercises.

    Teaching Methodology

    • Instructor-led presentations and discussions.
    • Hands-on exercises using BI tools.
    • Group activities and real-world case studies.
    • Interactive Q&A sessions.

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  • Introduction to Python & Basic Statistics
    Business Intelligence
    Preview Course

    Business Intelligence

    Introduction to Python & Basic Statistics

    HRDC Registration Number: 10001465520
    Duration: 21 Hours (3 Days)


    Course Overview

    This beginner-friendly course introduces Python programming and fundamental statistical concepts. Participants will learn Python basics, data manipulation, and visualization using libraries like NumPy, Pandas, and Matplotlib. The course also covers essential statistics topics such as descriptive analysis, probability, hypothesis testing, and correlation, equipping participants with the skills to perform data analysis using Python.


    Who Should Attend

    Industries:

    • Open to all industries, particularly relevant for individuals in data-driven roles.

    Participants:

    • Beginners with no prior programming experience.
    • Students, professionals, or individuals interested in Python and basic statistics for data analysis.

    Why Choose This Course

    This HRDC-claimable course (Reg. No: 10001465520) provides foundational skills in Python programming and statistics, empowering participants to analyze and visualize data effectively, a critical skill in today's data-driven world.


    Learning Outcomes

    Participants will:

    • Understand Python programming fundamentals and their applications in data analysis.
    • Write and execute Python scripts for basic programming tasks.
    • Manipulate and visualize data using Python libraries (NumPy, Pandas, Matplotlib).
    • Perform descriptive statistical analysis and interpret results.
    • Apply probability and hypothesis testing concepts in Python.
    • Analyze relationships between variables using correlation techniques.

    Prerequisites

    • No prior programming experience required.
    • Basic understanding of high school-level mathematics.

    Lab Setup

    • Hardware: A computer or laptop with Python installed (Anaconda distribution recommended).
    • Software: Jupyter Notebook or any Python IDE.
    • Internet access for additional library installations.

    Teaching Methodology

    • Instructor-led lectures with hands-on coding exercises.
    • Live coding demonstrations and group discussions.
    • Practical assignments and projects to reinforce learning.
    • Interactive quizzes and assessments.

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