Data analytics is becoming increasingly relevant across business functions, but simply learning tools such as Excel, SQL, or Python may not be enough to build practical job-ready skills. Many learners struggle to connect theoretical concepts with real datasets, business problems and dashboard creation, while limited hands-on exposure can make it difficult to apply what they learn.
Learning data analytics is not just about knowing Excel, SQL, or Python. Many learners struggle to apply these tools to real datasets, build projects, and understand how businesses use data to make decisions. Finding classroom training that combines practical learning with career preparation can be equally challenging.
PW SkillShala’s Data Analytics Course in Jaipur addresses these needs through offline classes, hands-on projects, Teaching Assistant (TA) support, and career preparation. You can develop skills in Excel, SQL, Python, Power BI, and Tableau while working on real-world analytics projects and exploring career opportunities in data analytics.
PW SkillShala is the offline vertical of PW Skills, offering classroom-based learning focused on practical, industry-relevant skills. The Data Analytics Course in Jaipur combines expert-led classes with hands-on projects, guided practice and career-focused support.
Key features of the programme include:
Offline classroom learning with industry professionals
Industry-aligned Data Analytics curriculum
Hands-on projects and capstone
Dedicated Teaching Assistant (TA) support
Weekly doubt sessions and peer learning
Career and placement assistance
Mock interviews, resume and portfolio support
PW Skills + NSDC Co-Branded Certificate
PW Talks App access
Learners searching for an offline data analytics course in Jaipur can find the PW SkillShala centre at:
PW SkillShala Offline Centre – Jaipur
Address: 1st Floor, Physics Wallah Skills, Near Suzuki Nexa Showroom, Gopalpura Puliya, Jaipur, Rajasthan
Phone: 7314625883
You can contact the centre for the latest information regarding upcoming batches, class timings, fees and enrolment.
The syllabus has been structured around the tools and analytical concepts commonly used across data-related roles. Learners cover the following modules:
|
Module |
Topics Covered |
|
Excel for Business Analytics |
Excel fundamentals, advanced formulas, XLOOKUP, INDEX-MATCH, SUMIF, Pivot Tables, dashboards, data cleaning, macros and industry case study |
|
Databases & SQL |
DBMS, RDBMS, data modelling, DQL, DDL, DML, joins, window functions, CTEs, views and stored procedures |
|
Data Visualisation |
Power Query, data modelling, Power BI, DAX, interactive dashboards, Tableau and data storytelling |
|
Generative AI for Analytics |
Prompt engineering, LLMs, AI-powered data cleaning, AI-assisted reporting, AI-optimised ETL and AI-driven data visualisation |
|
Python for Data Analytics |
Jupyter Notebook, Python fundamentals, functions, NumPy, Pandas, data cleaning, EDA, Matplotlib and Seaborn |
|
Problem Solving & Business Analytics |
Descriptive statistics, KPI frameworks, funnel analysis, RCA, cohort analysis, churn analysis, A/B testing, unit economics and business recommendations |
|
Capstone Project |
End-to-end industry project using SQL, Python, Power BI/Tableau and AI-driven business analysis |
This combination allows you to work across data preparation, analysis, visualisation, and business interpretation instead of focusing on a single analytics tool.
Project-based learning forms an important part of the programme. Learners get opportunities to apply their skills to different scenarios, including:
Unilever Sales Analytics: Creating a sales dashboard with Advanced Excel and Copilot
City Hospital Healthcare Analytics: Analysing hospital data using SQL
Power BI ETL Dashboard: Building an interactive business dashboard with Power Query
Global Music Streaming Analytics: Performing data analysis with Python and Power BI
E-Commerce Sales Dashboard: Developing a Tableau-based business intelligence dashboard
Student Performance and Learning Style Analysis: Using Advanced Excel and statistics for analysis
In addition to these projects, learners work on an industry-level capstone project that brings multiple analytics skills together from start to finish.
For learners in Jaipur, an offline programme can provide a structured setting to learn analytics concepts while regularly practising them through projects and assignments.
The course can help learners to:
Develop practical knowledge of important analytics tools.
Understand the process of cleaning, analysing and visualising data.
Apply classroom concepts to business-oriented projects.
Build projects that can contribute to their professional portfolio.
Get guidance from mentors and Teaching Assistants during the learning process.
Improve their ability to explain analytical findings and recommendations.
Prepare resumes and professional profiles.
Practise interviews as part of career preparation.
Develop skills relevant to different data and analytics career paths.
By combining technical learning with projects and career preparation, the programme provides learners with a structured way to work towards their data analytics goals.
Learners meeting the applicable programme criteria can earn a PW Skills + NSDC Co-Branded Certificate.
The certification process considers programme requirements such as attendance and readiness assessment. A remedial assessment may also be available for learners who do not meet the initial criteria, subject to the applicable programme conditions.
Choosing a Data Analytics Course in Jaipur can be a practical step for learners looking to build skills in data analysis and visualisation. PW SkillShala, the offline vertical of PW Skills, combines classroom learning with an industry-aligned curriculum, hands-on projects, expert-led sessions, TA support and career preparation. With exposure to tools such as Excel, SQL, Python, Power BI and Tableau, learners can develop practical skills and work on projects that reflect real-world analytics use cases. The Jaipur centre provides an offline learning environment for students, graduates and working professionals looking to strengthen their data analytics capabilities.

