Professional Diploma in Python with Data Science
Python, statistics, machine learning, deep learning, NLP and SQL — the complete data science toolkit.
- Duration
- 6 Months
- Training hours
- 480 hrs
- Modules
- 11 modules
Career programme
Excel, SQL, Python, Power BI & Tableau-style visualisation and predictive analytics — analyst-ready in six months.
A job-focused analytics programme with heavy emphasis on visualisation (150 hours), advanced Excel, SQL and Python. You learn to collect, clean and explore data, build dashboards, run predictive analysis and translate numbers into business decisions.
6 Months
Duration
480 Hours
Training hours
12
Modules
5
Projects
Eligibility
Any degree. No coding experience required.
Best for: Graduates from any stream (commerce, science, engineering)
12 modules, 480 hours.
Project 01
Sales performance Excel dashboard
Project 02
SQL analysis of an e-commerce database
Project 03
Power BI executive dashboard
Project 04
Predictive sales model
Project 05
Capstone business analytics report
Module Assessments
Practical and theory checks at the end of each module.
Project Reviews
Trainer review of your mini projects and final project.
Certification
Issued on meeting assessment and attendance criteria.
Certification: TÜV SÜD certification + IPCS Global course certificate + Internship Certification.
Data Analyst
Turns data into reports and insights.
Business Analyst
Bridges business needs and data.
MIS / Reporting Analyst
Builds recurring business reports.
Power BI / Tableau Developer
Builds interactive dashboards.
Marketing / Sales Analyst
Analyses campaigns and sales.
Operations Analyst
Improves processes with data.
Click a stage to see what the role involves and its salary band.
Clean data, build reports and dashboards.
Own analyses for business teams.
Lead analytics projects and stakeholders.
Run analytics functions.
| Stage | Minimum (₹ lakh p.a.) | Maximum (₹ lakh p.a.) |
|---|---|---|
| Junior Data Analyst | 3 | 5 |
| Data Analyst | 5 | 9 |
| Senior Analyst / Analytics Lead | 9 | 16 |
| Analytics Manager | 16 | 28 |
Indicative ranges for India in 2026. Lower end: Tier-2 cities such as Coimbatore and smaller firms; upper end: metros and larger companies. Guidance only, not a salary guarantee.
Professional Diploma in Python with Data Science
Microsoft PL-300 (Power BI) certification
Get Visible
Polish your resume and portfolio; apply through the IPCS placement cell's drives.
First Role
Join as a Junior Data Analyst.
Get Certified
Earn one certification from the list above.
Specialise
Pick a specialisation and own a project, system or channel.
Global opportunity: IT skills are the most globally portable: remote roles, freelance projects and overseas opportunities (GCC, Europe, US, Singapore) are all realistic with experience and a strong portfolio.
Technical skill gets you noticed — presentation and confidence get you hired. Every learner goes through a structured career-readiness track alongside their course. Professional Data Analytics learners get 100% placement assistance from our Coimbatore placement cell.
Dedicated Placement Cell
An in-house team works with industry partners to line up interviews, drives and referrals — supporting learners until they are placed, not just until the course ends.
Resume Building
One-on-one sessions to craft an achievement-focused resume tailored to the role and industry each learner is targeting.
Aptitude Training
Structured practice in quantitative aptitude, logical reasoning and verbal ability — the areas most recruiters screen first.
Personality Development & Talentino
Communication, body-language and workplace-readiness coaching, plus our in-house talent showcase sessions.
Mock Interviews & Group Discussions
Simulated technical and HR panels and GD rounds, so the first real interview never feels like the first.
Final selection depends on each learner's skills and interview performance. See recent placements
Contact for fees
The fee for Professional Data Analytics depends on the batch type and learning mode you choose. Call or WhatsApp +91 80860 96664 for the current fee and any instalment options, or book a free demo class first.
Batches: Weekday · Weekend · Fast-track. Mode: Classroom / Online / Hybrid.
Exact class timings are fixed for each new batch — our counsellors will share the next start date. Centre hours: Mon–Sat, 9:00 AM – 7:00 PM.
Professional Data Analytics runs for 6 Months with 480 hours of training across 12 modules and 5 hands-on projects. You can choose a weekday, weekend or fast-track batch at our Peelamedu centre.
Any degree. No coding experience required. Best suited for: Graduates from any stream (commerce, science, engineering). It is also a good fit for Graduates from any stream (commerce, science, engineering), MBA & management students and Working professionals handling data.
You will work hands-on with Microsoft Excel, Power Query, Power BI, Tableau, MySQL, Python, Pandas and Jupyter. Modules include Introduction to Data Analytics, Programming for Data Analytics, Statistical Foundations for Data Analytics and Data Visualization.
Typical roles include Data Analyst, Business Analyst, MIS / Reporting Analyst and Power BI / Tableau Developer. The indicative starting range for a Junior Data Analyst is ₹3–5 lakh per annum; this is guidance only, not a salary guarantee. Our placement cell supports you with resume building, mock interviews and interview drives.
TÜV SÜD certification + IPCS Global course certificate + Internship Certification. IT, AI & Software programmes are delivered at IPCS Global Coimbatore, an ISO 9001:2015 certified institute.
Fees depend on the batch type you choose. Please call or WhatsApp +91 80860 96664 for the current fee and any offers, or book a free demo class to meet the trainers first.
Anything else? Call +91 80860 96664 or visit the Coimbatore branch (Mon–Sat, 9:00 AM – 7:00 PM).
Python, statistics, machine learning, deep learning, NLP and SQL — the complete data science toolkit.
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Sit in on a live Professional Data Analytics class, meet the trainers and see the labs before you enrol.
Sit in on a live Professional Data Analytics class, meet the trainers and see the labs before you enrol.