Learning data analytics can be challenging when there is limited opportunity to work with real datasets, practise different analytics tools and apply concepts to business problems. Knowing the theory alone may not be enough to build practical skills in data handling, visualisation, analysis and presenting insights.
The Data Analytics Course in Varanasi by PW SkillShala provides an offline learning setup where learners can develop these skills through hands-on practice, guided projects, assignments and assessments. The programme covers Excel, SQL, Python, Power BI, Tableau, statistics, business analytics and Generative AI, along with career-readiness and placement support.
PW SkillShala is the offline learning initiative of PW Skills, designed to provide classroom-based practical learning experiences. The Data Analytics Course in Varanasi combines technical lessons with practical assignments and projects so learners can apply the concepts they study.
The programme follows the flow Learn → Analyse → Visualise → Present. The learning experience also includes career preparation activities such as resume building, mock interviews and placement preparation.
Some of the key components are:
Offline classroom learning
Guided projects
Hands-on practice
Weekly doubt sessions
Assignments and assessments
Industry projects
Resume Building
Mock Interviews
Placement Preparation
Placement Support
Learners looking for offline Data Analytics classes in Varanasi can find the PW Skillshala Offline Centre at:
PW Skillshala Offline Centre - Varanasi
Address: 3rd Floor, Indira Tower, Durgakund Rd, Gurudham, Durgakund, Anandbagh, Bhelupur, Varanasi, Uttar Pradesh
Phone: 7314625882
The programme is suitable for learners from different academic and professional backgrounds who want to develop skills in data analytics.
B.Tech Students
BCA / B.Sc Students
MBA Students
Fresh Graduates
Working Professionals
Career Switchers
Learners should have:
Basic Computer Knowledge
Graduate or Final-Year Student status
Interest in Data & Technology
Willingness to Learn and Upskill
The programme is designed for learners who want to build a structured path into analytics and move towards a skill-based career.
The curriculum covers business analytics tools, databases, programming, visualisation, Generative AI and problem-solving. You can also work on an end-to-end capstone project that brings these skills together.
|
Module |
Topics Covered |
|
Excel for Business Analytics |
Excel Fundamentals, Advanced Formulas (XLOOKUP, INDEX-MATCH, SUMIF), Pivot Tables, Interactive Dashboards, Data Cleaning, Macros, Industry Case Study |
|
Databases & SQL |
DBMS & RDBMS, Data Modeling, DQL, DDL & DML, Joins, Window Functions, CTEs, Views, Stored Procedures, Industry Case Study |
|
Data Visualization |
Power Query, Data Modeling, Power BI, DAX, Interactive Dashboards, Tableau, Storytelling with Data |
|
Generative AI for Analytics |
Prompt Engineering, Large Language Models (LLMs), AI-powered Data Cleaning, AI-assisted Reporting, AI-Optimized ETL, AI-driven Data Visualization |
|
Python for Data Analytics |
Jupyter Notebook, Python Fundamentals, Functions, NumPy, Pandas, Data Cleaning, EDA, Matplotlib & Seaborn |
|
Problem Solving & Business Analytics |
Descriptive Statistics, KPI Frameworks, Funnel Analysis, RCA, Cohort Analysis, Churn Analysis, A/B Testing, Unit Economics, Business Recommendations |
|
Capstone Project |
End-to-end Industry Project with SQL, Python, Power BI/Tableau & AI-driven Business Analysis |
The programme develops technical, analytical and communication skills across multiple areas.
Python fundamentals
Jupyter/VS Code
Data manipulation with Pandas and NumPy
SQL for data storage and queries
Data wrangling and preprocessing
Exploratory Data Analysis (EDA)
Matplotlib and Seaborn
Tableau and Power BI dashboards
Data storytelling techniques
Descriptive Statistics
Inferential Statistics (Self-paced Recorded Module)
A/B Testing, KPIs etc.
Business metrics
ROI-driven analysis
Using LLMs for smart data processing and insights
Leveraging Generative AI in Analytics
Project Explanation
Data Storytelling
Cross-functional Team Collaboration
Practical work allows learners to apply analytics tools to different types of datasets and business use cases. The programme includes the following projects:
Unilever Sales Analytics — Sales Dashboard using Advanced Excel & Copilot
City Hospital Healthcare Analytics — SQL-based Hospital Data Analysis
Power BI ETL Dashboard — Power Query + Interactive Business Dashboard
Global Music Streaming Analytics — Python + Power BI Data Analysis
E-Commerce Sales Dashboard — Tableau-based Business Intelligence Dashboard
Student Performance and Learning Style Analysis — Advanced Excel + Statistics
Capstone Project — Industry-level analytics project from start to finish
The skills covered in the programme can support career paths across analytics, reporting, business intelligence and data visualisation.
Possible roles include:
Data Analyst
Business Analyst
MIS Executive
Reporting Analyst
Power BI Developer
Data Visualization Analyst
The career pathway can progress from Senior Analyst → Analytics Consultant → Analytics Manager. Data Analytics can also lead to opportunities in business intelligence, reporting, strategy and decision-making.
Salary depends on factors such as skills, experience, location and interview performance.
Along with technical learning, the programme includes activities focused on preparing learners for recruitment processes and professional opportunities.
Career support includes:
Career Portal Access
Portfolio Support
Mock Interviews
LinkedIn Profile Building
Ticket-based SME Support
Practice Challenges
ATS-Ready Resume Preparation
Doubt Sessions
Peer Community
Placement assistance is supported through a hiring network, employer partnerships, career portal access and recruitment drives.
The Career Readiness Program includes 4 Career Readiness Assessments, with one assessment conducted at each stage. Every stage carries 100 marks and contributes 25% to the final Readiness Score.
|
Assessment Detail |
Information |
|
Number of Assessments |
4 |
|
Marks per Stage |
100 |
|
Contribution of Each Stage |
25% |
|
Assessment Type |
Tech test + AI mock interview |
|
Human Mock Interview |
Stages 2 & 4 for Pro Batch learners only |
|
Final Readiness Score |
Out of 100 |
|
Level |
Readiness Score |
Placement Opportunities* |
|
Level 1 |
40–49% |
Internships, Non-core only |
|
Level 2 |
50–69% |
Internships, Core & non-core |
|
Level 3 |
70% and above |
All internships, Core & non-core |
Learners can receive up to 5 interviews over 3 months at every level. The Readiness Score can be improved through regular assessments during the 3-month Placement Assistance period.
The assessment weightage is 100 marks, with a Tech Test + AI Mock conducted every 15 days.
The programme provides a PW Skills + NSDC Co-Branded Certificate based on the specified attendance and assessment criteria.
|
Step |
Certification Criteria |
|
Step 1 |
Attendance >60% AND Readiness Score >40% → Certificate awarded |
|
Step 2 |
If Step 1 is not met, Attendance >50% → Proceed to remedial test |
|
Step 3 |
Take remedial test post course completion within 2 weeks; assessment includes Tech Test + AI Mock Interview and carries 100 marks |
|
Step 4 |
Remedial Score >40% → Certificate awarded; otherwise no certificate |
The Data Analytics Course in Varanasi by PW SkillShala combines classroom learning with practical projects across Excel, SQL, Python, Power BI, Tableau, statistics, business analytics and Generative AI. With career-readiness assessments, career support and placement assistance, the programme also focuses on preparing learners for analytics-related opportunities.

