Learning data analytics requires more than theoretical knowledge. You need practical experience with analytics tools, real-world projects, data interpretation, and communication of insights. The right learning environment can help you build these skills through guided practice and assessments.
The Data Analytics Course in Lucknow by PW SkillShala provides classroom-based learning with hands-on projects, guided learning, weekly doubt sessions, and career-focused support. The programme covers Excel, SQL, Python, Power BI, Tableau, statistics, business analytics, and Generative AI for analytics.
PW SkillShala is the offline learning initiative of PW Skills designed to provide classroom-based practical learning experiences. The programme combines hands-on projects, expert mentorship, and placement-focused support.
The Data Analytics Course in Lucknow follows an offline learning format with guided projects, hands-on practice and weekly doubt sessions. The learning flow follows four stages: Learn, Analyse, Visualise and Present.
If you’re looking for an offline Data Analytics Course in Lucknow, you can visit the PW SkillShala centre at:
PW SkillShala Offline Centre – Lucknow
Address: 201, Second Floor, Platinum Mall, T-6, IBB-2, Sushant Golf City, Shaheed Path, Lucknow, Uttar Pradesh
Phone: 7314623445
You can contact the centre for information about enrolment and the programme.
The Data Analytics Course in Lucknow is suitable for learners from different academic and professional backgrounds.
B.Tech students
BCA / B.Sc students
MBA students
Fresh graduates
Working professionals
Career switchers
You should have:
Basic computer knowledge
A graduate degree or be a final-year student
Interest in data and technology
Willingness to learn and upskill
The programme is designed for you if you want to build a structured path into analytics and develop skills for a data-focused career.
The curriculum covers analytics tools, business problem-solving, data visualisation, Generative AI and practical project work.
|
Module |
Topics Covered |
|
Excel for Business Analytics |
Excel Fundamentals, Advanced Formulas including XLOOKUP, INDEX-MATCH and SUMIF, Pivot Tables, Interactive Dashboards, Data Cleaning, Macros and Industry Case Study |
|
Databases & SQL |
DBMS, RDBMS, Data Modelling, DQL, DDL, DML, Joins, Window Functions, CTEs, Views, Stored Procedures and Industry Case Study |
|
Data Visualisation |
Power Query, Data Modelling, Power BI, DAX, Interactive Dashboards, Tableau and Storytelling with Data |
|
Generative AI for Analytics |
Prompt Engineering, Large Language Models (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, Root Cause Analysis, 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 |
The programme includes projects based on different business scenarios, allowing you to apply your analytics skills in practical settings.
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
The programme also includes an industry-level analytics project from start to finish, bringing together SQL, Python, Power BI/Tableau and AI-driven business analysis.
Data analytics skills can lead to opportunities in areas such as business intelligence, reporting, strategy and decision-making. You may explore roles such as:
Data Analyst: Analyse datasets, identify patterns and present insights that can support business decisions.
Business Analyst: Work with business data to understand requirements, analyse performance and support decision-making.
MIS Executive: Prepare reports, organise business data and maintain regular reporting processes using analytics tools.
Reporting Analyst: Work on data-based reports and dashboards to present business performance and key metrics.
Power BI Developer: Create interactive dashboards and visual reports using Power BI, data modelling and DAX.
Data Visualisation Analyst: Convert data into charts, dashboards and visual presentations that make insights easier to understand.
With relevant skills and experience, the career pathway can progress towards roles such as Senior Analyst, Analytics Consultant and Analytics Manager.
The programme includes four Career Readiness Assessments. Each stage carries 25% weightage towards the final Readiness Score.
The assessments include technical tests and AI mock interviews. Stages 2 and 4 also include a human mock interview for Pro Batch learners.
Each stage is worth 100 marks, and the final Readiness Score is calculated out of 100.
The Readiness Score determines the level of career opportunities available to you.
|
Readiness Score |
Career Level |
Job Nature |
|
40–49% |
Level 1 |
Internships; non-core only |
|
50–69% |
Level 2 |
Internships; core and non-core |
|
70% and above |
Level 3 |
All internships; core and non-core |
You 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. These assessments are conducted every 15 days and include a technical test and AI mock.
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, subject to verification of valid proof such as:
Professional certifications
Training programmes
Freelancing experience
Volunteering
Other relevant professional activities
You can receive a PW Skills + NSDC Co-Branded Certificate based on the programme's certification requirements.
The certification process includes attendance and Readiness Score requirements. If you do not initially meet the criteria, you may take a remedial test after course completion, subject to the applicable conditions.
The remedial assessment consists of a technical test and AI mock interview, conducted within two weeks and carrying 100 marks.
The Data Analytics Course in Lucknow by PW SkillShala combines classroom learning with hands-on practice, guided projects, assessments, and career-readiness activities. The curriculum covers analytics tools, business problem-solving, visualisation and Generative AI. You can also work on practical projects and receive career and placement support as per the programme criteria.

