Data Analyst Course in Kosli
For students and working professionals from Kosli, Haryana — join classroom training in Rewari or learn live online.
For Kosli Students
Kosli learners can use a fictional procurement ledger to practice quantities, units and monthly comparisons without turning an exercise into a real-world forecast. The course develops Excel, SQL, Python, statistics and dashboard skills. This page focuses on documenting transformations so another analyst can reproduce the result.
Planning a classroom visit from Kosli? Approximate road distance from the town centre to Rewari; the route, exact distance and travel time vary with your starting point and destination. Check current directions before travelling. Approximate distance: 34 km to Rewari.
Kosli data-preparation task: compare quantities only after unit checks
Use a made-up purchasing table with month, broad input category, quantity and unit. Never add unlike units together just to produce a larger total.
Work through the transformations
1. Inventory the fields. Record which categories use each unit and identify missing values.
2. Normalize carefully. Use an explicit conversion table only where the conversion is known; preserve the original value for audit.
3. Analyze. Group compatible quantities with SQL and verify the converted totals in Pandas.
4. Communicate. Chart comparable categories in Power BI and disclose excluded or converted rows. The sample is not local production data, price guidance or an agricultural forecast.
Questions from Kosli learners
Frequently asked questions
About The Course
ABOUT THE DATA ANALYTICS COURSE
Build practical skills to collect, clean, organize, analyze and visualize data. This beginner-friendly Data Analyst Course combines structured learning with practical exercises, real-world datasets, business case studies and portfolio projects.
Learn Microsoft Excel, SQL, Python, NumPy, Pandas, statistics and Power BI to turn raw information into clear reports, dashboards and insights. The course also introduces Power Query, data modelling, DAX and AI-assisted analytics tools.
AT A GLANCE
Practical learning: 100% hands-on exercises using real-world datasets.
Industry projects: 10+ practical projects to help build a portfolio.
Tools: Excel, SQL, Python, NumPy, Pandas, Power BI, Power Query and DAX.
Placement support: Resume building, interview preparation and career guidance.
LEARNING ROADMAP
1. Data Analytics Fundamentals: Understand datasets, analytics workflows, business questions and the data lifecycle.
2. Advanced Excel: Formulas, logical and lookup functions, data cleaning, Pivot Tables, charts, conditional formatting, dashboards and reporting.
3. SQL and Databases: Filtering, sorting, joins, subqueries, aggregate functions, GROUP BY, CTEs and window functions.
4. Python for Analytics: Programming fundamentals and data work with NumPy and Pandas, including cleaning, transformation, aggregation and exploration.
5. Statistics: Descriptive statistics, probability, distributions, correlation and regression concepts.
6. Power BI and Visualization: Power Query, data modelling, DAX, KPIs, interactive dashboards and visual storytelling.
7. Practical Projects: Apply the tools to datasets, business questions, reports and analytical case studies.
8. Portfolio and Career Preparation: Present projects, strengthen a resume and practice Data Analyst interview questions.
CAPSTONE: END-TO-END SALES ANALYTICS DASHBOARD
Complete an analytics workflow using a business dataset, from data cleaning and SQL analysis to Python-based exploration and Power BI dashboard creation. Deliverables include a clean dataset, SQL queries, a Pandas analysis, KPI and trend findings, an interactive dashboard and clear sales-performance insights.
SKILLS AND CAREER PATHWAYS
Practice data collection, cleaning and transformation, database querying, exploratory analysis, KPI reporting, dashboard development, data visualization, problem-solving and communicating insights. Related roles include Data Analyst, Power BI Developer, Data Visualization Analyst and Product Analyst. Career support is guidance and does not guarantee employment.
WHO SHOULD JOIN?
The course is suitable for students, fresh graduates, working professionals, career switchers and beginners from technical or non-technical backgrounds. No advanced programming experience is required; basic computer knowledge, logical thinking and an interest in data are helpful.
CAREER ASSISTANCE
Get guidance with resume building, technical and HR interview preparation, mock interviews and job applications. Practice common Excel, SQL, Python, Power BI and project-based interview topics.
COURSE COMPLETION CERTIFICATE
After completing required modules, assignments and projects, learners receive a Course Completion Certificate from Zillions of Tech. It documents course completion and is not a certification or endorsement by Microsoft, Google or another third party.
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