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Data Analytics and Visualization

Unleashing Insights through Data

Data Analytics and Visualization

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SC221
22.Dec.2024 to 26.Dec.2024
Online -
Cost 1250 £ GBP

Introduction

Welcome to the "Data Analytics and Visualization" training program. In today's data-driven world, the ability to extract meaningful insights from data is a crucial skill. This program is designed to equip participants with the knowledge and tools needed to analyze and visualize data effectively, enabling informed decision-making.

Course Objectives of Data Analytics and Visualization

Upon completing this program, participants will be able to:

  • Understand the fundamentals of data analytics and visualization.
  • Gain proficiency in using popular data analytics tools and platforms.
  • Learn to clean, process, and transform raw data into actionable insights.
  • Develop skills in creating compelling visualizations to communicate data findings.
  • Explore advanced analytics techniques for predictive and prescriptive analysis.
  • Apply data analytics skills to real-world scenarios through hands-on exercises.

Course Methodology of Data Analytics and Visualization

This program will employ a combination of engaging learning methods, including:

  • Lectures and Expert Insights: Leading industry experts will share their insights and best practices.
  • Case Studies: Analyze real-world talent acquisition challenges and solutions.
  • Group Discussions: Engage in meaningful discussions and share experiences with peers.
  • Role-Playing and Simulations: Practice scenarios to enhance skills.

Organizational Impact of Data Analytics and Visualization

This training program will have a positive impact on organizations by:

  • Improved data-driven decision-making processes.
  • Enhanced efficiency in extracting insights from large datasets.
  • Increased competitiveness through a data-savvy workforce.
  • Better identification of business opportunities and risks.

Personal Impact of Data Analytics and Visualization

Participants will experience personal growth and development, including:

  • Enhanced analytical and problem-solving skills.
  • Proficiency in using industry-standard data analytics tools.
  • Improved ability to communicate complex data findings through visualization.
  • Increased marketability in roles requiring data analytics expertise.

Who Should Attend

This training program is ideal for:

  • Data Analysts seeking to upgrade their skills.
  • Business Analysts interested in leveraging data for insights.
  • Managers and decision-makers aiming to enhance their data literacy.
  • Professionals transitioning into roles that involve data analytics.

Course Outline

Day 1

Introduction to Data Analytics

  • Understanding the Data Analytics Landscape
  • Basics of Descriptive and Inferential Statistics
  • Introduction to Data Exploration and Visualization

Day 2

Data Cleaning and Preprocessing

  • Techniques for Data Cleaning and Transformation
  • Handling Missing Data and Outliers
  • Exploratory Data Analysis (EDA) Techniques

Day 3

Tools and Platforms for Data Analytics

  • Overview of Popular Data Analytics Tools (e.g., Python, R, SQL)
  • Introduction to Data Visualization Tools (e.g., Tableau, Power BI)
  • Hands-on Session: Getting Started with a Data Analytics Tool

Day 4

Advanced Analytics Techniques

  • Predictive Analytics: Regression and Classification
  • Introduction to Machine Learning for Data Analytics
  • Time Series Analysis and Forecasting

Day 5

Data Visualization Best Practices

  • Principles of Effective Data Visualization
  • Creating Interactive Dashboards
  • Case Studies and Real-world Applications

Associations

SC221
22.Dec.2024 to 26.Dec.2024
Online -
Cost 1250 £ GBP