Course Schedules

Classroom 7 Sessions
Online / Live
Live

Introduction

Data Science & Big Data Analytics Training Course provides professionals with the essential knowledge and practical skills to harness the power of data for business growth and efficiency. The Complete Course on Data Science & Big Data Analytics Training Course focuses on helping organizations identify valuable patterns, detect anomalies, and generate accurate forecasts to support better decision-making.

Participants will explore key principles of Big Data and Data Science, including data collection, analysis, and interpretation. The course highlights how advanced analytics can improve operational performance, reduce delays, and minimize costs across various business functions.

This Big Data Analytics Course also covers modern analytical techniques, tools, and models used in real-world scenarios. By the end of the training course, participants will be able to apply data-driven strategies effectively, enabling their organizations to stay competitive and achieve sustainable success in a rapidly evolving digital environment.

What are the Goals?

Data Science & Big Data Analytics Training Course Objectives focus on developing strong analytical capabilities and practical knowledge of data-driven decision-making. This training course ensures participants gain the skills required to leverage Big Data effectively.

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

  • Identify various Big Data sources and methods for data collection
  • Apply Data Science and analytics techniques to extract meaningful insights
  • Use analytical models such as clustering, forecasting, and unstructured data analysis
  • Communicate the benefits of Big Data Analytics to stakeholders effectively
  • Utilize data-driven approaches to enhance team and organizational performance
  • Implement structured data analytics processes for improved decision-making

Who is this Training Course for?

Big Data Analytics Course is designed for professionals seeking to enhance their expertise in data analysis, Data Science, and advanced analytics techniques. This training course is ideal for individuals aiming to leverage data for strategic and operational success.

This training course is suitable for:

  • Professionals working in Data Science and data analytics roles
  • Statistical and research analysts handling complex datasets
  • Application development and data research personnel
  • Technology engineers and senior IT leadership roles
  • Strategic development and planning professionals
  • Team leaders, supervisors, and operational managers
  • Technical professionals across engineering and production environments
  • IT specialists involved in data systems and analytics

How will this Training Course be Presented?

Data Science & Big Data Analytics Training Course uses a structured and practical learning approach to ensure effective knowledge transfer and skill development. This training course combines theoretical concepts with real-world applications to enhance understanding and retention.

Participants will engage in instructor-led sessions covering Big Data concepts, analytical models, and data lifecycle processes. Case studies are used to demonstrate how organizations apply data analytics to solve business challenges and improve outcomes.

Interactive discussions encourage participants to explore current trends, tools, and best practices in Data Science and Big Data Analytics. Practical exercises allow learners to apply analytical techniques such as clustering, regression, and data visualization.

This comprehensive learning methodology ensures participants gain the confidence and expertise to implement data analytics strategies and deliver measurable business value.

Course Content

Day 1

Big Data Analytics

  • Current Practices and trends in Big Data Analytics
  • Business Intelligence v Data Science
  • Analytical Architecture for Big Data
  • Roles for Big Data within the Technology and Commercial Enterprise
  • Key Drivers for Big Data Analytics
  • Case Study and Summary
Day 2

Data Analytics Models and Lifecycle

  • Data Analytics Lifecycle
    • Stage 1 - Discovery
    • Stage 2 - Preparation of Data
    • Stage 3 - Model Planning and Review
    • Stage 4 - Model Creation
    • Stage 5 - Communication Plan
    • Stage 6 - From Planning to Operation
  • Case Study and Summary
Day 3

Data Analytical Methods and Programs Overview

  • Overview of R Framework
  • Overview of Big Data Analytics
  • Exploratory Data Analysis
  • Statistical methods of Evaluation
  • Advanced Methods of Clustering
  • Advanced Theory and Methods of Association Rules
  • Advanced Theory and Methods of Regression
  • Case Study and Summary
Day 4

Advanced Theory and Methods Overview

  • Advanced Analytical Theory of Classification
  • Advanced Analytical Theory of Time Series Analysis
  • Advanced Analytical Theory of Textual Analysis
  • Technology and Tools for Advanced Data Analytics
  • Use Case and Assessment
  • Case Study and Summary
Day 5

Technology, Tools and Achieving Results

  • Unstructured Data Analytics
  • Advanced Analytical Tools in Database Analytics
  • How integrate Data Analytics
  • Current Best Practice Management and Approach for Project Delivery
  • Data Visualization Overview
  • Summary ad Case Study

The Certificate

Recognition
  • Anderson Certificate of Completion for delegates who attend and complete the training course
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