Data Analyst Course in Kanina
For students and working professionals from Kanina, Haryana — join classroom training in Rewari or learn live online.
For Kanina Students
Kanina learners can strengthen the foundations of reporting with a privacy-conscious, aggregated activity example. The course moves from Excel and SQL into Python, Pandas, statistics and Power BI, with practice checking source data before communicating a result. The example contains no personal records and makes no claim about local demand or institutions.
Planning a classroom visit from Kanina? 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: 35 km to Rewari.
Kanina beginner task: build a trustworthy monthly summary
Start from an invented table containing month, broad activity category and aggregate count—nothing that identifies a person.
- Clean
- Check date formats, blank categories and spelling variants in Excel.
- Count
- Use SQL or Pandas to calculate totals by month and category; compare the two outputs.
- Compare
- Calculate month-over-month change only after confirming that both periods are present and measured the same way.
- Explain
- Create a Power BI visual with the metric and baseline period clearly labeled.
Include one data-quality caveat and one question the summary cannot answer. This is a synthetic learning activity, not a description of Kanina residents or services.
Questions from Kanina learners
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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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