Courses
Excel for Data Analysis: From Basics to Advanced Queries
What You’ll Learn in this Course:
-Basics of Excel: Understand formatting, sorting, filtering, and working with formulas
-VLOOKUP & HLOOKUP: Learn how to search and extract specific data from large datasets
-Pivot Tables & Charts: Summarize data and create visual representations for easier insights
-Complex Queries: Use nested IF statements, array functions, and logic-based formulas to perform advanced data manipulation
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Why This Course is Worth It:
-Increase your productivity by learning shortcuts and advanced functions
-Visualize data effectively through charts, graphs, and pivot tables
-Extract insights faster using search functions like VLOOKUP and HLOOKUP
-Build logic-driven models with nested formulas and conditional logic
-Become job-ready for roles in data analysis, finance, operations, and business intelligence
-Boost your resume with a practical skill recognized across industries
-Improve decision-making through hands-on data manipulation techniques
-Understand complex datasets without needing programming or specialized software
-Apply Excel in real business contexts—from dashboards to reports
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Tools & Technologies learnt for the Course:
-Microsoft Excel (all versions from 2016 onward)
-Excel built-in tools such as Pivot Tables, Conditional Formatting, and Lookup functions
-Data visualisation tools like Charts and Graphs within Excel
This course is designed to equip learners with the essential and advanced Excel skills needed for effective data analysis.
Whether you're new to data or looking to sharpen your productivity, Excel remains a foundational tool used across industries for quick, reliable, and visual data exploration.
From mastering everyday functions to applying powerful formulas, this course empowers you to analyze and interpret data efficiently.
Duration: Instructor-led; 30 hours
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Skills You’ll Gain:
-Proficiency in using Excel for data cleaning, formatting, and filtering
-Ability to perform lookups and extract relevant data
-Confidence in summarizing and visualizing large datasets using pivot tables and charts
-Skill in writing and applying complex formulas for logic-driven queries and data insights
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Who Should Enroll: Students, working professionals, aspiring data analysts, finance professionals, researchers, and anyone looking to strengthen their Excel skills for data-driven decision-making.
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Certification after Completion: Yes. Upon successful completion, learners will receive a Certificate of Completion from Ants Skills Varsity.
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Difficulty Level: Beginner to Intermediate – progresses from fundamental skills to advanced functions with guided practice
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Prerequisites: No. This course is designed for learners at all levels. A basic familiarity with Excel is helpful but not required.
Structured Query Language (SQL) for Data Analysis
Master the Language of Data with SQL
What You’ll Learn in this Course:
-RDBMS Basics: Understanding relational databases, table structures, primary & foreign keys
-SQL Grammar: Learn to write SELECT queries, filter results with WHERE, and modify data using INSERT, UPDATE, and DELETE
-Joins & Aggregates: Master INNER, LEFT, RIGHT joins; apply GROUP BY, HAVING, and aggregate functions like COUNT, AVG, and SUM
-Advanced SQL: Learn to build subqueries, apply window functions (e.g., RANK, ROW_NUMBER), and use CTEs for better query structure
Why This Course is Worth It:
-High Demand Skill for roles in data analysis, software, and business intelligence.
-Boosts career to add a powerful, practical skill to your resume—no matter your industry.
-Learn to extract, analyze, and manage data using real datasets.
-No coding background folks can start from scratch and level up.
-Lays a foundation before diving into data science, Python, or Power BI.
-Get recognized with a certificate upon completion.
-Automates tasks and avoid manual spreadsheet work.
This course is designed to provide students with a comprehensive foundation in Structured Query Language (SQL), the most widely used language for managing and analyzing data in relational databases.
Whether you're just getting started with data or aiming to upskill for data-driven roles, this course will equip you with the practical knowledge and confidence to handle real-world database queries.
Tools & Technologies learnt from the Course:
-MySQL or PostgreSQL (depending on platform)
-SQL IDE (like DBeaver, pgAdmin, or MySQL Workbench)
-Real-world datasets for hands-on exercises
Duration: Instructor based; 40 hours
Skills You’ll Gain:
-Proficiency in writing and optimizing SQL queries
-Ability to handle complex data analysis using advanced SQL techniques
-Competence in joining, filtering, grouping, and transforming large datasets
-Strong foundation in database concepts essential for data science or analytics roles
Who Should Enroll: Aspiring data analysts or database professionals, students, working professionals or anyone curious to know how data is queried
Certification after Completion: Yes. Upon successful completion, learners will receive a Certificate of Completion from Ants Skills Varsity.
Difficulty Level: Beginner to Intermediate
Prerequisites: No prior programming or SQL knowledge is required.
Python for Data Analytics and Machine Learning
Unlock the full potential of data with Python—one of the most powerful and versatile programming languages in the data science ecosystem.
Why This Course is Worth It:
-Learn industry-standard Python tools used in real-world data projects
-Gain hands-on experience through practical coding exercises and mini-projects
-Understand how data analytics and machine learning drive business decisions
-Build a job-ready skillset for data analyst, ML engineer, or data scientist roles
-Learn without needing prior programming knowledge
What You’ll Learn:
-Python Basics: Variables, data types, lists, dictionaries, arrays, and string operations
-Data Analysis with Pandas: DataFrames, cleaning, transforming, and advanced indexing
-Data Visualization: Line graphs, bar charts, heatmaps using Matplotlib and Seaborn
-Statistical Analysis: Performing t-tests, chi-square tests with SciPy and Statsmodels
-Machine Learning: Intro to supervised and unsupervised algorithms—regression, classification, clustering, and decision trees
Tools & Technologies learnt from the course:
-Python
-Pandas
-Matplotlib & Seaborn
-SciPy, Statsmodels
-Scikit-learn (for machine learning)
This course is designed to take students from foundational Python programming all the way to applied machine learning.
You'll start with core programming concepts and data structures, explore essential data analysis libraries like Pandas, and learn to visualize data using Matplotlib and Seaborn.
The course concludes with an exciting introduction to machine learning algorithms such as regression, classification, decision trees, and clustering.
Duration: Instructor-led; 60 hours
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Skills You’ll Gain:
-Data cleaning and transformation
-Data visualization for insights
-Statistical analysis and hypothesis testing
-Basic machine learning modeling and evaluation
-Real-world data analytics problem solving using Python
Who Should Enroll: Students, graduates, and working professionals from any background
Certification after Completion: Yes. Upon successful completion, learners will receive a Certificate of Completion from Ants Skills Varsity
Difficulty Level: Beginner to Intermediate
Prerequisites: None. This course is beginner-friendly and does not require prior coding or data experience.
Visualization & Power – Mastering Data Visualization with Power BI
Turn raw data into powerful business insights.
Why This Course is Worth It:
-Turn raw data into impactful dashboards using Power BI
-Master data cleaning and transformation for accurate insights
-Create professional visualizations to highlight trends and patterns
-Learn real-world querying with SAS for advanced analytics
-No coding experience required – perfect for beginners
-Gain job-ready skills for roles in data analysis, BI, and reporting
-Receive a recognized certificate to validate your expertise
-Boost decision-making power with data-driven storytelling
-Blend business understanding with technical skills in a single course
-Build a strong portfolio of projects and reports
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What You’ll Learn:
-Power BI Basics: Learn how to import data from multiple sources and create interactive dashboards.
-Data Transformation: Cleanse, shape, and filter raw data to prepare it for analysis.
-Chart Visualization: Build a range of visual elements including bar charts, line graphs, and pie charts.
-SAS Queries: Explore advanced querying techniques and learn how to integrate SAS with Power BI for large-scale analytics.
Visualization & Power is a hands-on course designed to teach students how to convert data into meaningful visual stories using Microsoft Power BI.
The course begins with the essentials—connecting to data sources and building dashboards—and progresses to advanced visualizations and SAS query integration for deeper analytics.
Tools & Technologies:
-Microsoft Power BI
-Power Query Editor
-SAS Query Language
-Visual Reporting Components (Charts, Tables, Cards, Maps)
Duration: Instructor-led ; 40 hours
Skills You’ll Gain:
-Data importing, modeling, and transformation
-Advanced chart and dashboard creation
-Integration of data sources including SAS databases
-Real-world problem-solving through data storytelling
Who Should Enroll: Students, working professionals, analysts, and decision-makers who want to master data visualization techniques.
Certification after Completion: Yes. Upon successful completion, learners will receive a Certificate of Completion from Ants Skills Varsity.
Difficulty Level: Beginner to Intermediate
Prerequisites: No prior technical or programming experience is required.
AZ-900: Microsoft Azure Fundamentals
Kickstart your cloud journey with Microsoft Azure Fundamentals! AZ-900 is the ideal starting point for anyone exploring cloud computing.
What You’ll Learn in this Course:
-Core Azure services and their use cases
-Cloud concepts and service models
-Cost management, security, and governance
-Compliance and Azure identity solutions
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Why This Course is Worth It:
-Build cloud confidence even with zero technical background
-Understand Azure’s role in modern businesses and IT environments
-Boost your resume with an in-demand Microsoft certification
-Position yourself for cloud-related job roles or advanced certifications
-Become cloud-literate, a skill highly sought after by global employers
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Tools & Technologies learnt for the Course:
-Azure Portal,
-Resource Manager,
-Pricing Calculator,
-Compliance Center​
Kickstart your cloud journey with Microsoft Azure Fundamentals! AZ-900 is the ideal starting point for anyone exploring cloud computing.
This beginner-level course introduces you to the world of Microsoft Azure, covering essential concepts such as cloud models (IaaS, PaaS, SaaS), Azure architecture, compute, storage, networking, security, pricing, governance, and compliance.
Whether you're a student, business user, or IT professional, AZ-900 helps you build a solid foundation in the Microsoft cloud ecosystem—no prior experience needed.
Duration: Self-paced; approx. 8–12 hours
Skills You’ll Gain:
-Cloud fluency,
-Azure service architecture
-Identity & governance basics, and pricing strategy
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Who Should Enroll: Beginners, business analysts, IT support staff, and professionals exploring cloud careers
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Certification after Completion: Microsoft Certified: Azure Fundamentals
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Difficulty Level: Beginner
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Prerequisites: None
AI-900: Microsoft Azure AI Fundamentals
Step into the world of Artificial Intelligence—no coding required!
What You’ll Learn in this Course:
-Fundamentals of AI and machine learning
-Use cases for Azure AI services
-Computer vision, NLP, and responsible AI
-Conversational AI using Azure Bot Services
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Why This Course is Worth It:
-Gain AI fluency even without programming experience
-Explore real-world AI tools used in business applications
-Make informed decisions about AI strategy and adoption
-Prepare for AI-related roles, even in non-technical industries
-Certify your AI awareness, boosting your future readiness
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Tools & amp; Technologies learnt from the Course:
-Azure Cognitive Services,
-Azure Machine Learning,
-Azure Bot Service
AI-900 is a beginner-friendly course designed for professionals and learners interested in the potential of AI. It introduces key concepts such as machine learning, computer vision, natural language processing, and conversational AI—all using Microsoft Azure's powerful AI services.
This course is perfect for business users, aspiring AI engineers, data analysts, and tech-curious professionals looking to understand how AI can be applied ethically and effectively in the real world.
Duration: Self-paced; approx. 10–12 hours
Skills You’ll Gain:
-AI concepts,
-ML workflows,
-Chatbot design,
-Ethical AI awareness,
-Azure AI tools usage
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Who Should Enroll: Business users, students, aspiring AI professionals—no technical background needed
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Certification after Completion: Microsoft Certified: Azure AI Fundamentals
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Difficulty Level: Beginner
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Prerequisites: None
PL-900: Microsoft Power Platform Fundamentals
Unlock the power of low-code tools to drive business transformation!
Why This Course is Worth It:
-Empower yourself with automation and data tools
-Learn skills highly valued in digital transformation roles
-Bridge business goals and technology with low-code platforms
-Become more efficient, creative, and impactful in your current job
-Open doors to roles like business analyst, app developer, or consultant
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What You’ll Learn:
-Data visualization with Power BI
-Custom app development with Power Apps
-Workflow automation using Power Automate
-Chatbot creation via Power Virtual Agents
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Tools & amp; Technologies learnt from the course:
-Power BI,
-Power Apps,
-Power Automate,
-Power Virtual Agents
PL-900 is your gateway into Microsoft’s low-code/no-code Power Platform. This beginner- friendly course teaches you how to analyze data, build custom business apps, automate repetitive tasks, and create AI-powered chatbots—without needing any programming background.
You'll get hands-on with Power BI, Power Apps, Power Automate, and Power Virtual Agents to solve real-world business challenges.
Whether you're an analyst, consultant, or business leader, this course helps you connect business needs with digital solutions.
Duration: Self-paced; approx. 10–15 hours
Skills You’ll Gain:
-Data storytelling,
-Low-code app building,
-Process automation,
-Chatbot design
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Who Should Enroll: Business users, analysts, consultants, and functional professionals—no coding needed
Certification after Completion: Microsoft Certified: Power Platform Fundamentals
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Difficulty Level: Beginner
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Prerequisites: None
SC-900: Microsoft Security, Compliance, and Identity Fundamentals
Unlock the power of low-code tools to drive business transformation!
Why This Course is Worth It:
-Understand how Microsoft protects users, data, and systems
-Learn about Zero Trust security, identity management, and compliance
-Position yourself in the high-demand cybersecurity domain
-Stand out in audits, risk teams, or cloud security roles
-Gain credibility with Microsoft’s industry-recognized cybersecurity and compliance certification
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What You’ll Learn:
-Core SCI principles in cloud computing
-Identity & access management using Azure Active Directory
-Threat detection and data protection with Microsoft Defender
-Risk, governance, and compliance tools in Microsoft 365
-The Zero Trust security model
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Tools & Technologies:
-Azure AD
-Microsoft Defender
-Microsoft Compliance Manager
SC-900 is an entry-level course designed to introduce professionals to the essential concepts of security, compliance, and identity (SCI) in Microsoft 365 and Azure.
It covers identity and access management, threat protection, and governance strategies, with a strong emphasis on Microsoft’s Zero Trust model.
This course equips learners with the knowledge to understand how modern cloud systems stay secure, compliant, and user- centric. Whether you're an aspiring security analyst or a non-technical stakeholder, SC-900 helps you explore the building blocks of secure digital transformation.
Duration: Self-paced; approx. 8–10 hours
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Skills You’ll Gain:
-Security awareness
-Access control knowledge
-Governance policy understanding
-Compliance strategy
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Who Should Enroll: IT staff, security-conscious business users, managers, and entry-level cybersecurity professionals
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Certification after Completion: Microsoft Certified: Security, Compliance, and Identity Fundamentals
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Difficulty Level: Beginner
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Prerequisites: None (basic cloud knowledge is helpful)