Data Analytics Course in Noida

The Data Analytics Course in Noida by PW SkillShala combines offline classes with practical projects, hands-on training and career preparation. Learn Excel, SQL, Python, Power BI, Tableau, statistics and Generative AI while building analytics skills through industry-based projects and assessments.
authorImageAnshika Agarwal22 Sept, 2026
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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.

Data Analytics Course in Noida at PW SkillShala

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

PW SkillShala Data Analytics Centre in Noida

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

Who Can Join a Data Analytics Course in Noida?

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.

Data Analytics Course Syllabus in Noida

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

What Skills Will You Learn in Data Analytics Classes in Noida?

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

Which Practical Projects Are Part of the Data Analytics Course?

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

What Career Opportunities Are Available After a Data Analytics Course?

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.

How Does PW SkillShala Support Career Readiness?

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.

How Is Placement Readiness Assessed?

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.

What Certification Do Data Analytics Learners Receive?

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.

FAQs

What does the Data Analytics Course in Noida cover?

The programme covers Excel, SQL, Python, Power BI, Tableau, statistics, business analytics, data visualisation and Generative AI for analytics.

Who can join the Data Analytics Course in Noida?

B.Tech, BCA, B.Sc and MBA students, fresh graduates, working professionals and career switchers can consider the programme. Basic computer knowledge is required, along with graduation or final-year status.

Does PW SkillShala provide placement assistance?

Yes. Placement assistance includes a hiring network, employer partnerships, career portal access and recruitment drives. Learners also receive career-readiness support such as mock interviews and resume preparation.

Is the Data Analytics Course in Noida conducted offline?

Yes. The programme is offered through offline classroom learning at the PW SkillShala centre in Noida.
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