Business Analytics 360 Certification

This course provides a comprehensive foundation in business intelligence (BI) and data analytics, covering essential programming, statistics, data manipulation, visualization and predictive modeling techniques.

It aims to develop skills needed to analyze data and extract insights that drive business decision‑making across sales, marketing, operations, and executive management. The course includes hands‑on learning with tools such as Excel, SQL, R and Python, as well as advanced analytics methods like machine learning and regression techniques.

Module 1: Introduction to Analytics Foundations

• Introduction to programming concepts and statistical foundations for analytics.
• Overview of RDBMS and SQL basics.



Module 2: Data Analytics with Excel & Tableau

• Using Excel for data manipulation and visualization.
• Creating analytics visualizations with Tableau.



Module 3: SQL and VBA Analytics

• Performing data analytics using SQL and VBA.



Module 4: Data Analytics with R

• Importing and exporting data with R.
• Data manipulation and visualization with R.
• Connecting R with databases.



Module 5: Python for Data Analytics

• Core essentials of Python programming for analytics.
• Data cleansing, analysis and visualization using Python.



Module 6: Advanced Analytics Techniques

• Introduction to Machine Learning algorithms (supervised, unsupervised).
• Statistical hypothesis testing and advanced visualization tools.



Module 7: Predictive Modeling

• Linear regression techniques for regression problems.
• Logistic regression for classification problems.



Module 8: Industrial & Functional Analytics Sessions

• Real‑world case studies and functional analytics applications.

• This is a beginner‑to‑intermediate level course, typically suited to learners from Engineering, Science, Statistics, Mathematics or related quantitative backgrounds.
• Basic familiarity with spreadsheets (Excel) and logical reasoning is helpful but not mandatory.
• No formal programming background is required, as foundational concepts are included.

• Aspiring Data Analysts and BI Professionals seeking hands‑on analytics skills.
• Project Managers and Business stakeholders needing data‑driven decision support.
• IT Developers and Testers who want to enhance data analysis competencies.
• Data Scientists and Analysts aiming to broaden their toolkit with business context.
• Anyone interested in entering the analytics field or strengthening BI capabilities.

• 20 multiple-choice questions covering all course modules.
• Passing requirement: at least 15 correct answers.
• Two attempts allowed to achieve a passing score.
• Certificate issued upon successful completion of the exam.

Obtaining the Business Analytics 360 Certification with training equips professionals with both the practical skills and structured knowledge needed to turn raw data into meaningful business insights. This training goes beyond introductory concepts by teaching participants how to apply analytics techniques - including data exploration, visualization, predictive modelling and KPI measurement - using real‑world tools and scenarios. With hands‑on exercises and guided frameworks, learners gain the ability to analyse business problems, interpret data patterns, build dashboards and support decision‑making across functions such as marketing, finance, operations and strategy. This prepares participants to not only understand data but also to use it effectively to drive performance improvements and organisational outcomes.

From a career and financial perspective, earning this certification with guided training can significantly enhance professional credibility, employability and earning potential. Analytics skills are in high demand in nearly every industry - including finance, healthcare, technology, retail and consulting - where organisations rely on data‑driven decisions to compete. Depending on experience and role, certified professionals - such as Business Analysts, Data Analysts, BI Specialists or Analytics Managers - can command annual salaries ranging from $75,000 to $115,000, with senior or specialised roles in enterprise analytics or data strategy often exceeding $130,000. By combining a recognised certification with practical, application‑focused training, participants not only validate their analytics expertise but also position themselves for career growth and strategic impact in data‑driven organisations.

He is an experienced business analytics and data strategy professional with extensive expertise in transforming data into actionable insights that drive organizational performance. With a strong background in analytics tools, statistical modeling and business intelligence, he brings practical, real‑world experience to help learners confidently navigate the analytics lifecycle from data collection and visualization to predictive modeling and strategic decision‑making. Known for his clear and engaging training style, he breaks down complex analytical concepts into practical steps that participants can apply immediately. His guidance equips professionals to harness data effectively, solve business challenges and accelerate their careers in analytics and data‑driven roles.

Learning Outcomes:

• Acquire practical skills in data analytics using Excel, SQL, R and Python.
• Understand foundational programming concepts and statistical methods for analytics.
• Perform data cleaning, manipulation and transformation.
• Create effective data visualizations and business dashboards to communicate insights.
• Apply core Machine Learning algorithms including supervised and unsupervised learning.
• Perform predictive analytics using regression models (linear and logistic).
• Integrate analytics with real‑world business problems and decision‑making scenarios.
• Develop capabilities to support BI functions across departments such as marketing, operations and leadership.