Data Analyst Course
100% hands-on Data Analytics training with 10+ practical projects. Learn Excel, SQL, Python, Pandas, statistics, Power BI, DAX and AI-assisted analytics using real-world datasets, with career assistan
AT A GLANCE
Data Analyst Course snapshot
Practice with real-world datasets and applied exercises.
Build portfolio-ready analytics projects and dashboards.
Learn industry-standard analytics tools, statistics and AI-assisted workflows.
Get resume building, interview preparation and career guidance.
ABOUT THE COURSE
About Data Analyst 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.
COURSE CURRICULUM
What you will study
DATA ANALYTICS CURRICULUM
A practical learning path from foundations to portfolio and interview preparation.
1. Data Analytics Fundamentals: Data types, analytics lifecycle, datasets and business questions.
2. Advanced Excel: Formulas, logical and lookup functions, cleaning, Pivot Tables, charts, dashboards and reports.
3. SQL and Relational Databases: Filtering, sorting, joins, subqueries, aggregates, GROUP BY, CTEs and window functions.
4. Python Fundamentals for Analytics: Variables, data types, conditions, loops, functions and collections.
5. NumPy and Pandas: Data manipulation, missing values, filtering, transformation, merging and exploratory analysis.
6. Statistics for Analytics: Descriptive statistics, probability, distributions, correlation and regression concepts.
7. Power BI: Power Query, data modelling, DAX, KPIs, interactive dashboards and visual storytelling.
8. Hands-on Projects: Practical datasets, business case studies, reports and dashboard assignments.
9. End-to-End Sales Analytics Capstone: Clean data, analyze with SQL and Python, identify trends and present insights in Power BI.
10. Portfolio and Career Preparation: Project presentation, resume building and interview practice.
TOOLS & TECHNOLOGIES
Tools you will work with
- Excel
- SQL
- Python
- NumPy
- Pandas
- Statistics
- Power BI
- Power Query
- DAX
- AI Tools
WHAT YOU WILL LEARN
Learning outcomes
- Collect, clean, organize and analyze data using a structured analytics workflow.
- Use Excel and SQL to prepare reports and answer business questions.
- Use Python, NumPy and Pandas for data cleaning and exploratory analysis.
- Build Power BI dashboards, track KPIs and communicate findings clearly.
CAREER SUPPORT
Placement and classroom support
WHO SHOULD JOIN
Is this course right for you?
Suitable for college students, freshers, BCA, B.Tech and B.Sc students, commerce students, working professionals, career switchers and beginners from technical or non-technical backgrounds who want to learn data analysis.
Prerequisites / eligibility
No advanced coding or programming experience is required. The course starts with fundamentals and gradually introduces Excel, SQL, Python, statistics and Power BI. Basic computer knowledge, logical thinking and an interest in working with data are helpful.
BEYOND THE CLASSROOM
Included with your course
Course certificate
Placement assistance
FAQ
Frequently asked questions
COURSE TOPICS
Explore Data Analyst Course Topics
Data Analytics Fundamentals: From Questions to Insights
Learn how analysts turn business questions and raw datasets into useful findings and clear next steps.
View full topicAdvanced Excel for Data Analysis: Formulas, PivotTables and Reports
Use Excel to clean datasets, calculate measures, summarize results, and prepare readable reports.
View full topicSQL for Data Analysis: Filters, Joins and Window Functions
Filter, combine, group, and rank database records with SQL to answer practical business questions.
View full topicPython for Data Analysis with NumPy and Pandas
Use Python, NumPy, and Pandas to inspect, clean, transform, and explore data with repeatable steps.
View full topicPower BI Dashboards: Power Query, Data Models and DAX
Prepare data with Power Query, model relationships, write DAX measures, and design interactive dashboards.
View full topicData Analyst Portfolio Project: End-to-End Sales Dashboard
Bring Excel, SQL, Python, and Power BI together in an end-to-end sales analytics portfolio project.
View full topicLocal course pages
Data Analyst Course by City
Keep learning
Learning Articles
Explore practical guides related to Data Analyst Course.
TAKE THE NEXT STEP
Ready to explore Data Analyst Course?
Speak with our counsellors and find the right learning path for you.