Learning data analytics can be challenging when theoretical concepts are not supported by hands-on practice with industry tools and real-world datasets. Learners also need opportunities to apply their knowledge through projects, assessments and career-focused activities.
The Data Analytics Course in Noida by PW SkillShala combines classroom learning with practical projects, guided practice and career preparation. The programme covers Excel, SQL, Python, Power BI, Tableau, statistics, business analytics and Generative AI to help learners develop relevant data analytics skills.
PW SkillShala is the offline learning initiative of PW Skills that focuses on classroom-based practical learning. The Data Analytics Course in Noida combines technical lessons with guided projects and assessments to help you apply what you study.
Key features of the learning experience include:
Offline classes for classroom-based learning
Guided projects for practical application
Hands-on practice with analytics tools
Weekly doubt sessions for learning support
Assignments and assessments to practise and evaluate skills
Industry projects based on different business use cases
Resume building and mock interviews for career preparation
Placement preparation and placement support as part of the career-readiness process
If you’re looking for classroom-based Data Analytics training in Noida, you can visit the PW SkillShala centre:
PW Skillshala Offline Centre - Noida
Address: First Floor, Silver Springs, Plot 13/14 Sector 126, Noida, Uttar Pradesh
Phone: 7314623446
The course is designed for learners from different academic and professional backgrounds. It can be considered by:
B.Tech Students
BCA / B.Sc Students
MBA Students
Fresh Graduates
Working Professionals
Career Switchers
The basic fit criteria include basic computer knowledge, being a graduate or final-year student, an interest in data and technology, and a willingness to learn and upskill.
The syllabus covers the tools and concepts used across data preparation, analysis, visualisation and business problem-solving. The major modules are:
|
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 covers technical, analytical and communication skills needed to work with data. You can develop:
Core Analytics Skills
Python fundamentals
Jupyter / VS Code
Pandas and NumPy
SQL
Data wrangling and preprocessing
Exploratory Data Analysis (EDA)
Visualisation and Business Intelligence
Matplotlib and Seaborn
Tableau
Power BI dashboards
Data storytelling techniques
Problem-Solving and Business Insights
Descriptive Statistics
Inferential Statistics through a self-paced recorded module
A/B Testing and KPIs
Business metrics
ROI-driven analysis
AI and Communication Skills
Using LLMs for smart data processing and insights
Leveraging Generative AI in analytics
Project explanation
Data storytelling
Cross-functional team collaboration
Project-based learning gives you opportunities to apply analytics tools to different use cases. The projects included in the programme are:
Unilever Sales Analytics: Sales dashboard using Advanced Excel and Copilot
City Hospital Healthcare Analytics: SQL-based hospital data analysis
Power BI ETL Dashboard: Power Query and interactive business dashboard
Global Music Streaming Analytics: Python and Power BI data analysis
E-Commerce Sales Dashboard: Tableau-based business intelligence dashboard
Student Performance and Learning Style Analysis: Advanced Excel and statistics
Capstone Project: An industry-level analytics project from start to finish
Data analytics skills can be applied across business intelligence, reporting, strategy and decision-making. Depending on your skills and experience, you can work towards roles such as:
Data Analyst: Analyse datasets, identify patterns and present insights that support business decisions.
Business Analyst: Work with business data to understand requirements, analyse performance and support decision-making.
MIS Executive: Organise business data and prepare regular reports using analytics tools.
Reporting Analyst: Prepare data-based reports and dashboards to present business performance and key metrics.
Power BI Developer: Build interactive dashboards and visual reports using Power BI, data modelling and DAX.
Data Visualisation Analyst: Convert data into charts, dashboards and visual presentations to communicate insights.
The career pathway can progress from Senior Analyst to Analytics Consultant and then Analytics Manager.
Career preparation is included alongside technical learning. PW SkillShala provides support through:
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 provided through a hiring network, employer partnerships, career portal access and recruitment drives.
The programme uses 4 Career Readiness Assessments, with one assessment at each stage. Every stage carries 100 marks and contributes 25% to the final Readiness Score.
The assessment format includes a Tech Test + AI Mock Interview. Stages 2 and 4 also include a Human Mock Interview for Pro Batch learners only.
|
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 also be improved through regular assessments during the 3-month Placement Assistance period.
Assessments are conducted every 15 days and carry 100 marks.
If you have a career gap of more than 2 years, you are not eligible for Placement Assistance.
If you have a career gap of up to 2 years, you may be considered after verification of valid proof such as professional certifications, training programmes, freelancing experience, volunteering or other relevant professional activities.
The programme provides a PW Skills + NSDC Co-Branded Certificate based on the specified attendance and Readiness Score requirements.
The certification process includes an initial eligibility assessment. Learners who do not meet the applicable requirements may proceed through the remedial assessment process, subject to the programme criteria.
The remedial assessment is a Tech Test + AI Mock Interview, conducted within two weeks after course completion and carrying 100 marks.
The Data Analytics Course in Noida by PW SkillShala combines classroom learning with practical projects, technical training and career preparation. You will be able to work with tools such as Excel, SQL, Python, Power BI and Tableau while also learning business analytics and Generative AI. The programme also includes assessments, career-readiness activities and placement assistance to support you as you prepare for analytics roles.

