Business Intelligence

HRDC Reg. No: 10001545231
Course Duration: 14 Hours (2 Days)

Course Overview

This hands-on course equips participants with the skills to explore, analyze, and visualize data using Python. The program covers data manipulation with Pandas and NumPy, and visualization with Matplotlib, Seaborn, and Plotly. Whether you are a beginner or a professional, this course will help you extract insights and communicate findings effectively through interactive dashboards and reports.

Who Should Attend

• Data Analysts seeking to transition from Excel or basic tools to Python.

• Business Analysts aiming to derive actionable insights from raw data.

• Researchers and academics in need of robust data exploration tools.

• Fresh graduates and entry-level professionals in data science or analytics.

• Software developers transitioning into data-focused roles.

Why Choose This Course

HRDC Claimable (Registration No. 10001545231)
Benefit from a claimable course under the Human Resource Development Corporation (HRDC) for upskilling in the highly in-demand field of data analysis and visualization.

Learning Outcomes

Participants will learn to:

• Write Python scripts for data analysis.

• Manipulate and clean datasets using Pandas and NumPy.

• Conduct statistical and mathematical analyses on real-world data.

• Create static and interactive visualizations with Matplotlib, Seaborn, and Plotly.

• Deliver complete data analysis projects in Jupyter Notebook with strong visual storytelling.

Prerequisites

• Basic understanding of programming (variables, functions, loops).

• Familiarity with Excel or spreadsheets is beneficial.

• No prior Python experience required but advantageous.

Teaching Methodology

1. Hands-on Learning: Live coding, guided exercises, mini-projects.

2. Project-Based Approach: Capstone project with real-world data.

3. Interactive Learning: Jupyter Notebook for real-time code execution and visual feedback.

4. Instructor Demonstrations: Step-by-step walk-throughs of real scenarios.

Business Intelligence

HRDC Reg. No: 10001545231
Course Duration: 14 Hours (2 Days)

Course Overview

This hands-on course equips participants with practical skills to explore, manipulate, analyze, and visualize data using Python. Participants will work with Pandas and NumPy for data manipulation and use Matplotlib, Seaborn, and Plotly to create compelling visualizations and interactive dashboards. Ideal for both beginners and professionals, the course emphasizes real-world data storytelling and interactive exploration through Jupyter Notebooks.

Who Should Attend

• Data Analysts transitioning from Excel to Python

• Business Analysts seeking to generate actionable insights from raw data

• Researchers and Academics working on data exploration and visualization

• Fresh Graduates or Entry-Level Professionals in data science or analytics

• Software Developers upskilling for data-centric roles

Why Choose This Course

HRDC Claimable (ID: 10001545231)
Participants gain industry-relevant skills for transforming data into clear visual stories. Applications span:

• Banking & Financial Services: Risk analysis, segmentation, fraud detection

• Retail & E-Commerce: Sales trends, inventory optimization, customer insights

• Healthcare & Pharmaceuticals: Clinical data analysis, patient trends, epidemiology

• Telecommunications: Network performance, customer behavior trends

• Manufacturing & Engineering: Quality control, sensor data interpretation, process optimization

Learning Outcomes

By the end of the course, participants will be able to:

• Write Python scripts for data analysis

• Manipulate and clean datasets using Pandas and NumPy

• Perform statistical and mathematical analysis

• Create impactful static and interactive visualizations with Matplotlib, Seaborn, and Plotly

• Deliver a complete data analysis project within Jupyter Notebook

Prerequisites

• Basic programming concepts (variables, functions, loops)

• Familiarity with Excel or spreadsheets is helpful

• No prior Python experience required

Lab Setup

• Python and Jupyter Notebook installation

• Libraries: Pandas, NumPy, Matplotlib, Seaborn, Plotly

• Real-world datasets for project work

Teaching Methodology

• Hands-On Approach: Live coding, guided exercises, mini-projects

• Project-Based Learning: Complete end-to-end data analysis project

• Interactive Learning: Real-time code execution and feedback via Jupyter Notebooks

• Instructor-Led Demonstrations: Step-by-step walkthroughs of complex concepts

Business Intelligence

HRDC Reg. No: 10001510655

Duration: 14 Hours (2 Days) 

Course Overview

This course equips participants with essential data analytics skills using Python. It covers data cleaning, manipulation, visualization, and statistical analysis. Through hands-on coding exercises, learners will gain practical experience working with real-world datasets.

Who Should Attend?

• Data analysts and business analysts
• IT professionals and software developers
• Researchers and students interested in data analytics
• Anyone looking to improve data-driven decision-making skills

Why Choose This Course?

This HRDC-claimable course (HRDC Reg. No: 10001510655) provides a hands-on approach to Python for data analytics, using Jupyter Notebooks, Pandas, NumPy, Matplotlib, Seaborn, and SciPy.

Learning Outcomes

By the end of the course, participants will be able to:

Perform data cleaning and pre-processing tasks using Python
Analyze and manipulate data using Pandas
Visualize data effectively using Matplotlib, Seaborn, and Plotly
Understand basic statistical analysis and hypothesis testing

Pre-requisites

• Basic knowledge of Python programming

Lab Setup

• Operating System: Windows 11
• Software Tool: Jupyter Notebooks

Teaching Methodology

Instructor-led Lectures – Comprehensive explanations of concepts with real-world use cases.
Hands-on Coding Exercises – Practical implementation of concepts using Python.
Interactive Discussions – Engaging Q&A sessions to reinforce understanding.
Group Activities & Case Studies – Real-world applications to enhance problem-solving skills.
Step-by-Step Guided Projects – Application of all learned concepts in a final capstone project.

Business Intelligence

HRDC Reg. No: 10001392674
Duration: 14 hours (2 Days)

Course Overview

This course provides a solid foundation in data analysis by integrating computer science, statistics, and domain expertise to extract insights from data. Participants will learn key data analysis concepts and how to leverage data to make informed business decisions using Python.

Who Should Attend?

• Data analysts and business analysts
• IT professionals and software developers
• Researchers and students interested in data science
• Anyone looking to develop skills in Python for data analysis and visualization

Why Choose This Course?

This HRDC-claimable course (HRDC Reg. No: 10001392674) offers hands-on experience with Python, Pandas, NumPy, Matplotlib, and Seaborn for effective data analysis and visualization.

Learning Outcomes

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

Understand basic Python programming concepts.
Work with DataFrames and datasets using Pandas.
Perform data computations and statistical analysis.
Organize and manipulate data efficiently.
Utilize NumPy for numerical data processing.
Create stunning data visualizations using Matplotlib and Seaborn.
Perform data cleaning and transformation.

Prerequisites

• Basic understanding of programming concepts is helpful but not required.
• No prior knowledge of Python is necessary.

Lab Setup

• Computer with Python installed
• Jupyter Notebook or any Python IDE (e.g., PyCharm, VS Code)
• Required libraries: Pandas, NumPy, Matplotlib, Seaborn

Teaching Methodology

Hands-on coding exercises
Interactive lectures with real-world examples
Group discussions and case studies
Data visualization projects

Business Intelligence

HRDC Reg. No: 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.

Business Intelligence

HRDC Reg. No: 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.

Business Intelligence

HRDC Reg. No: 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.

Business Intelligence

HRDC Reg. No: 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.

Business Intelligence

HRDC Reg. No: 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.

Business Intelligence

HRDC Reg. No: 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.

Business Intelligence

HRDC Reg. No: 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.