Analytics & Data Management

A 1-day advanced Power BI course for enterprise BI teams. Learn advanced DAX, scalable modeling, security and governance, performance optimization, and deployment pipelines—ending with an enterprise reporting lab.

This 1-day SQL Intermediate with MySQL course teaches analysts how to build advanced, scalable queries using subqueries, CASE statements, window functions, and performance optimization for business analytics.

This 2-day Python for Data Analysis and Visualization course teaches professionals how to clean, analyze, and visualize data using Pandas, NumPy, Matplotlib, and Seaborn—replacing manual spreadsheets with scalable analytics workflows.

The Enterprise Data Management (3 Days) course empowers professionals to design and implement effective data governance structures across their organizations. Participants will learn to build enterprise-wide frameworks for data capture, storage, sharing, and compliance using Microsoft Excel and Azure environments. Through practical discussions and case-based learning, the course explores data lifecycle management, risk mitigation, and policy alignment with internal and regulatory standards. Designed for data managers, IT professionals, and compliance officers, this program builds a comprehensive understanding of data governance best practices — equipping participants to lead secure, compliant, and efficient data ecosystems that support strategic business outcomes.

The Basic Statistics and Data Analytics (3 Days) course introduces beginners to the essential skills needed to analyze and visualize data effectively. Participants will learn how to use Python, Pandas, Matplotlib, and Seaborn to clean, transform, and explore datasets. The program covers descriptive statistics, exploratory data analysis (EDA), and regression fundamentals, enabling learners to extract meaningful insights and present them visually. Designed for professionals, students, and aspiring data analysts, this hands-on course provides practical experience using real-world datasets, building a solid foundation for future learning in data analytics, machine learning, and AI.

Data is at the core of every business decision today. The 2-day Advanced Data Analytics and Visualization course equips participants with practical skills to analyze, interpret, and visualize data for actionable insights. Using tools like Microsoft Excel, Power BI, Python, and Tableau, participants will explore key analytics concepts, from data cleaning and basic statistics to dashboard creation and predictive insights. The program blends theory with hands-on exercises to help learners understand data storytelling, KPI monitoring, and trend analysis. Ideal for professionals and executives, this course builds confidence in transforming raw data into compelling visuals that drive better decision-making across any organization.

This 2-day Power BI Intermediate course helps users build scalable models, write DAX measures, design interactive dashboards, and optimize performance—ending with a professional multi-page analytics project.

This 1-day SQL Fundamentals with MySQL course teaches professionals how to retrieve, filter, aggregate, and join database data to generate KPIs and business insights—without relying on IT teams.

This 3-day Foundation of Statistics for Data Analytics course equips participants with the statistical foundations and applied modelling skills needed to extract business insights from data. Learners will cover exploratory data analysis, hypothesis testing, clustering and decision-tree techniques, prototype algorithm development, and methods for validating predictive models. Emphasis is placed on translating statistical outputs into actionable recommendations and interactive visual storytelling. Through hands-on case examples and model prototyping, participants will learn to identify meaningful patterns, build simple predictive models, and communicate findings that support business decisions. The program is ideal for aspiring data analysts, BI professionals, and managers who want a practical bridge from statistics to data-driven outcomes.

The Business Performance Analytics (5 Days) course equips managers and analysts with the tools and frameworks to design, implement, and manage organizational performance systems. Participants will learn to align departmental KPIs with strategic objectives using techniques such as Balanced Scorecard and OKR, supported by analytics tools like Excel and Power BI. Through hands-on exercises, learners will conduct performance evaluations, identify process gaps, and develop actionable improvement plans. The program emphasizes data-driven decision-making, enabling professionals to measure business performance effectively and translate analytics insights into continuous improvement strategies. By the end of the course, participants will be ready to manage, monitor, and optimize performance at both the departmental and organizational level.

The Power BI for AI-Enabled Business Intelligence with Python (3 Days) course bridges artificial intelligence and data visualization, empowering professionals to generate insights through predictive analytics. Participants will learn how to build AI models using Python and visualize their outcomes interactively with Power BI. Through hands-on exercises and real-world examples, learners will explore data preparation, machine learning techniques, and the integration of AI models into Power BI dashboards. Designed for data analysts, IT professionals, and business decision-makers, this course provides the skills to transform raw data into intelligent, AI-powered reports that support strategic decision-making and innovation.

This 2-day Power BI beginner course teaches professionals how to connect data, clean it with Power Query, design effective visuals, and publish interactive dashboards for business reporting.

This 2-day Python for Machine Learning course teaches professionals how to build supervised ML models using pandas, NumPy, scikit-learn, and Matplotlib—covering prediction, evaluation, visualization, and deployment.

The Data Communication for Manager (5 Days) course helps professionals transform complex data into clear, impactful stories. Participants will learn how to design effective dashboards, scorecards, and visual reports using tools like Power BI, Tableau, Python, and R. This program covers modern data visualization techniques, data storytelling frameworks, and user-centered design principles for decision-making. Through hands-on workshops, learners will build interactive dashboards, choose optimal visualization types, and align their insights with stakeholder needs. Designed for managers, analysts, and decision-makers, this course provides practical skills to present data-driven insights that inspire action, improve understanding, and strengthen organizational communication.

The Leading Data Analytics Projects (3 Days) course empowers managers, analysts, and data leaders to design and execute successful analytics initiatives. Participants will explore the Analytics Project Lifecycle (APLC) — from business framing and prototype development to deployment and ROI measurement. Through interactive discussions and real-world case applications using Power BI, Tableau, and Python, learners will gain the skills to interpret data patterns, build analytics strategies, and manage team capacity for scalable insights. This program bridges business strategy and technical execution, equipping participants to lead data-driven transformation and ensure measurable business impact through analytics.

The Advanced Statistical Analysis Techniques (3 Days) course equips professionals and researchers with practical expertise in data-driven decision-making. Through hands-on exercises using Microsoft Excel and SPSS, participants will learn to apply advanced statistical methods including regression, correlation, ANOVA, and hypothesis testing. The course bridges theory and practice, helping learners master statistical modeling and data interpretation in real-world contexts. Designed for analysts, researchers, and business professionals, this training builds the confidence to perform and evaluate complex statistical analyses accurately and effectively — essential for advanced analytics roles and data-informed strategies.