Data is one of the most valuable resources in the modern world, and organizations across every industry rely on it to make informed decisions, solve complex problems, and improve performance. The Data Analytics Program is designed to build a complete foundation in analytics, covering the essential tools, techniques, and thinking required to turn raw data into meaningful insights.
Throughout this course, learners will progress from understanding the basics of data and analytics concepts to performing hands-on analysis using Excel, SQL, Python, and Business Intelligence tools. Each module introduces practical skills that are used daily by data analysts, business analysts, and data-driven professionals.
By working with real datasets, building dashboards, writing queries, and applying analytical methods, learners will develop the ability to explore data, identify trends, draw conclusions, and support decision-making in real-world scenarios. The course is structured to be beginner-friendly while gradually preparing learners for industry-level analytics roles.
At the end of the program, learners will complete a capstone project that demonstrates their ability to clean, analyze, visualize, and present data insights end-to-end just like a professional analyst.
Features
- The foundations of data analytics and its role in modern businesses
- How to clean, organize, and analyze data using Excel
- How to query databases using SQL
- How to work with datasets using Python and Pandas
- How to visualize insights and build dashboards
- How to interpret data and communicate findings effectively
Requirements
- Beginners with no prior analytics experience
- Students preparing for analytics or business roles
- Professionals transitioning to data-driven careers
- Anyone interested in learning how data shapes decisions
Curriculum
- 12 Sections
- 69 Lessons
- 10 Weeks
- Introduction to Data AnalyticsBy the end of this module, learners should understand: ✔ What data analytics is ✔ Various types of analytics ✔ The end-to-end data lifecycle ✔ Different roles in a data organization4
- MODULE 2 – Excel Foundations for Data AnalyticsLearners can now: ✔ Navigate Excel confidently ✔ Apply essential formulas for calculations ✔ Clean and prepare raw datasets effectively3
- MODULE 3 – Advanced Excel & DashboardsBy the end of Module 3, learners can: ✔ Build PivotTables and PivotCharts ✔ Use slicers to enhance interactivity ✔ Design a complete dashboard in Excel ✔ Apply advanced functions like VLOOKUP and INDEX/MATCH4
- MODULE 4 – SQL FoundationsLearners understand SQL basics, how databases work, and can run fundamental queries using SELECT, WHERE, ORDER BY, DISTINCT, and LIMIT.3
- MODULE 5 – Intermediate SQLLearners can now combine tables, summarize data, and perform advanced filtering using JOINs, GROUP BY, and HAVING.12
- MODULE 6 – Data Cleaning & PreprocessingLearners can identify data issues, clean inconsistent datasets, and apply preprocessing techniques.14
- MODULE 7 – Python Foundations for AnalyticsLearners understand Python basics and can load datasets using simple scripts.14
- MODULE 8 – Data Analysis with PandasLearners can manipulate DataFrames, merge datasets, and perform exploratory analysis.3
- MODULE 9 – Data VisualizationLearners can create meaningful visuals and communicate findings effectively.3
- MODULE 10 – Power BI FoundationsLearners can import, clean, and visualize data in Power BI.3
- MODULE 11 – DAX & Advanced Power BILearners can build advanced dashboards and write DAX measures to compute business KPIs.3
- MODULE 12 – Capstone ProjectLearners demonstrate their end-to-end analytics capabilities through a practical, real-world project.3
FAQs
• Excel for data cleaning and dashboards • SQL for querying structured data • Python & Pandas for data analysis • Power BI for visual storytelling and business dashboards
By the end of this course, learners will be able to: • Clean and prepare datasets • Perform detailed analysis • Write SQL queries • Build dashboards and visual reports • Complete a full analytical project independently
REALLY WORTH MY TIME AND AT A MINIMAL PRICE
REALLY WORTH MY TIME AND AT A MINIMAL PRICE