Choosing what to learn is only one part of building a career in data analytics. You also need practical experience with datasets, analytics tools, and business problems, which can be difficult to develop through theory alone. Without regular practice, it can also be challenging to understand how concepts such as data analysis, visualisation and business insights are applied in real situations.
The Data Analytics Course in Bhopal by PW SkillShala addresses this need through offline classroom learning, hands-on projects, guided practice 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 Bhopal 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
The PW SkillShala offline centre for the Data Analytics Course in Bhopal is located at:
PW Skillshala Offline Centre - Bhopal
Address: 2nd Floor, Plot No. 176, Zone 2, M.P. Nagar, Bhopal, Madhya Pradesh
Phone: 7314625881
The programme can be considered by learners coming from academic as well as professional backgrounds. It is intended for:
B.Tech Students
BCA / B.Sc Students
MBA Students
Fresh Graduates
Working Professionals
Career Switchers
For the programme, learners should have basic computer knowledge and be graduates or final-year students. An interest in data and technology, along with a willingness to learn and upskill, is also part of the fit criteria.
The syllabus moves across spreadsheets, databases, programming, visualisation, business analysis and Generative AI. It also includes an end-to-end capstone project.
|
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 course goes beyond individual software tools and also covers data interpretation, business problem-solving and communication. Learners develop skills across the following areas:
Core Analytics Skills
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)
Visualisation and Business Intelligence
Matplotlib and Seaborn
Tableau and 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
Using LLMs for smart data processing and insights
Leveraging Generative AI in Analytics
Project Explanation
Data Storytelling
Cross-functional Team Collaboration
Practical projects allow learners to apply different tools and analytical methods to specific use cases. The programme includes:
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 capstone brings together SQL, Python, Power BI/Tableau and AI-driven Business Analysis in an end-to-end industry project.
The skills covered in the programme can be applied to areas such as business intelligence, reporting, strategy and decision-making. Learners can work towards roles including:
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: Prepare reports, organise business data and maintain regular reporting processes using analytics tools.
Reporting Analyst: Create 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: Turn data into charts, dashboards and other visual presentations that communicate insights clearly.
The career pathway can progress towards Senior Analyst → Analytics Consultant → Analytics Manager. Salary depends on skills, experience, location and interview performance.
Career preparation forms part of the learning journey at PW SkillShala. Learners can receive support related to portfolios, professional profiles, interviews and resumes.
The available 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 provided through a strong hiring network, employer partnerships, career portal access and recruitment drives.
Learners go through 4 Career Readiness Assessments, with one assessment assigned to each stage. Each assessment carries 100 marks, and every stage contributes 25% to the final Readiness Score.
The assessment format is Tech Test + AI Mock Interview. For Pro Batch learners, Stages 2 and 4 also include a Human Mock Interview.
The Readiness Score determines the applicable placement opportunity level:
|
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. Regular assessments during the 3-month Placement Assistance period can also be used to improve the Readiness Score.
The assessment weightage is 100 marks, with assessments conducted every 15 days.
If you have a career gap of more than 2 years are not eligible for Placement Assistance.
A career gap of up to 2 years may be considered after verification of valid proof such as:
Professional Certifications
Training Programs
Freelancing Experience
Volunteering
Other Relevant Professional Activities
You can receive a PW Skills + NSDC Co-Branded Certificate after meeting the specified certification requirements.
The certification process considers attendance and Readiness Score. The process is:
Learners with attendance above 60% and Readiness Score above 40% receive the certificate.
If these requirements are not met, attendance above 50% is considered for proceeding to the next step.
Eligible learners take a remedial test after course completion.
The remedial assessment consists of a Tech Test + AI Mock Interview, carries 100 marks and is conducted within 2 weeks after course completion.
A remedial score above 40% leads to certificate award.
The Data Analytics Course in Bhopal by PW SkillShala combines classroom learning with practical projects and career preparation. You will be able to develop skills across analytics tools, visualisation, business problem-solving and Generative AI. Along with technical learning, the programme includes assessments, a capstone project, certification and placement assistance based on the specified programme criteria.

