BIG DATA USAGE AND BUSINESS PRACTICES

Available Dates & Locations

This course is offered exclusively as In-House or Virtual, with no public sessions currently available – please contact us for inquiries.

COURSE OVERVIEW

The course provides participants with a clear and practical understanding of what big data is and why it plays a critical role in modern business success. The course covers how large and diverse datasets are collected, stored, processed, analyzed, and explored to support smarter decisions, enhance performance, and uncover new opportunities. Participants will learn how organizations transform raw data into valuable insights that improve customer understanding, operational efficiency, and strategic planning. In addition, the course introduces essential concepts in big data processing, large-scale analytics, and data visualization to help participants interpret and communicate insights effectively. By the end of the course, learners will gain foundational knowledge and practical skills to confidently engage in big data initiatives and contribute to data-driven business improvement.

COURSE OBJECTIVES

By completely attending this course, participants will be able to:

Understand the fundamental concepts of big data analytics and its significance in various industries.
Utilize essential tools and technologies for data collection, storage, and preprocessing.
Perform exploratory data analysis to uncover patterns, trends, and outliers within datasets.
Apply statistical methods and machine learning techniques for predictive and prescriptive analysis.
Communicate data-driven insights effectively through data visualization and storytelling.
Collaborate in a team-based environment to solve real-world data challenges.
Develop critical thinking and problem-solving skills specific to big data scenarios.

NOTE

The course require using laptop running on Microsoft Windows OS with Excel and Power BI Desktop fully installed and with connection to internet. Participants must bring their own laptops.

TARGET COMPETENCIES

Big Data Fundamentals
Data Collection and preprocessing
Exploratory and statistical Data Analysis
Machine Learning Fundamentals
Predictive Analytics
Data Visualization
Big Data Technologies

This course is ideal for professionals looking for understanding big data to help organization utilize it in decision making. The course is suitable for Business analysts aiming to enhance their analytical capabilities and IT professionals interested in expanding their skill set to include big data technologies.

The course will be delivered through a combination of instructor-led lectures and demonstrations. Hands-on lab sessions to practice concepts using real-world datasets. Group discussions and case studies for practical application. Assignments and projects to reinforce learning.

INTRODUCTION TO BIG DATA ANALYTICS

Understanding the big data landscape
Role of data scientists in different industries
Exploring the data science workflow.

DATA COLLECTION AND PREPROCESSING

Data sources and types
Data cleaning and quality assessment
Data transformation and feature engineering

EXPLORATORY DATA ANALYSIS

Descriptive statistics and data distribution
Data visualization techniques
Identifying patterns and outliers

STATISTICAL ANALYSIS FOR DATA SCIENCE

Introduction to basic statistical concepts
Hypothesis testing and p-values
Correlation and causation.

INTRODUCTION TO MACHINE LEARNING

Supervised vs. unsupervised learning
Overview of popular machine learning algorithms
Model selection and evaluation

PREDICTIVE ANALYTICS WITH REGRESSION

Linear regression and its applications
Logistic regression for classification
Model evaluation metrics

DATA VISUALIZATION AND COMMUNICATION

Principles of effective data visualization
Creating plots and charts using Python libraries
Storytelling with data.

INTRODUCTION TO BIG DATA TECHNOLOGIES

Overview of Hadoop and MapReduce
Introduction to Apache Spark and distributed computing
Handling big data challenges

FUTURE TREND IN DATA ANALYTICS

Real-time Analytics Growth
AI-Driven Data Processing
Expansion of Data Privacy & Governance