Python for Data Analytics Course in Dwarka, Delhi
Learn Python for Data Analytics at our Dwarka (Ramphal Chowk) branch — Palam / Dashrath Puri Metro (Magenta Line). Classroom + live online, real company projects, and placement support.
Why learn Python for Data Analytics in Dwarka?
Students from Dwarka, Palam, Dabri, Sagarpur, Bindapur and Dwarka Mor choose our Dwarka centre because it is close to Palam / Dashrath Puri Metro (Magenta Line) and the batches fit around college and office timings. Every class is hands-on with company-style data, and your progress is tracked topic by topic on our online test portal.
E-521, First Floor, Opp. Union Bank, Sector 7, Ramphal Chowk, Dwarka, New Delhi (near Kali Ghatta Sweet), 110075
🚇 Palam / Dashrath Puri Metro (Magenta Line) · 🕘 Mon–Sat, 9 AM – 6 PM
Python for Data Analytics syllabus
01Python Fundamentals4 topics
- Why Python for analytics; Python vs Excel vs SQL
- Installing Python, Anaconda & Jupyter
- Variables, data types, type casting, input / output, f-strings
- Arithmetic, relational, logical & assignment operators
02Control Flow & Data Structures4 topics
- if / elif / else and nested conditions
- for & while loops; break, continue, pass
- Lists, tuples, sets & dictionaries
- List & dictionary comprehensions
03Functions & Modules3 topics
- User-defined functions, arguments & returns
- Lambda functions
- Built-in modules & external libraries
04NumPy3 topics
- Arrays, creation & reshaping
- Indexing & slicing
- Mathematical & aggregation functions
05Pandas for Data Analysis4 topics
- Series & DataFrames; importing CSV & Excel
- Missing values, duplicates, type conversion, string operations
- Filtering, sorting & Group By
- Merge, join, concatenate; pivot tables & crosstab
06Data Visualisation3 topics
- Matplotlib & Seaborn
- Line, bar, histogram, box plot, heatmap
- Scatter & pie plots; saving charts
07Statistics & EDA5 topics
- Descriptive statistics, skewness, variance, standard deviation
- Covariance & correlation
- Probability, normal distribution, Central Limit Theorem
- Confidence intervals & hypothesis testing
- Univariate, segmented & bivariate analysis; derived columns
08Date, Time & Text2 topics
- datetime module & time-series basics
- String manipulation & regular expressions
09Python with SQL3 topics
- Connecting Python to databases
- Reading & writing data
- Running SQL queries from Python
10Automation & Reporting3 topics
- Reading & writing Excel with Pandas; openpyxl
- Automating MIS reports
- File, folder & email automation
11Projects & Interview Prep4 topics
- Sales, HR & finance analytics projects
- Dashboard-ready datasets for Power BI / Tableau
- Python interview questions for data analysts
- Resume & project discussion
Read the full Python syllabus page →
Fees & duration
| Programme | Duration | Fees |
|---|---|---|
| Advance MIS & Analytics | 4–6 months | ₹20,000 |
| Professional MIS & Analytics + Job Placement | 6–8 months | ₹30,000 |
| Professional Data Science & AI (GenAI, ML & Agentic AI) | 10–12 months | ₹75,000 + GST |
FAQs — Python for Data Analytics course in Dwarka
Where is the Python for Data Analytics institute in Dwarka?
Our Dwarka (Ramphal Chowk) branch is at E-521, First Floor, Opp. Union Bank, Sector 7, Ramphal Chowk, Dwarka, New Delhi (near Kali Ghatta Sweet), 110075. Nearest metro: Palam / Dashrath Puri Metro (Magenta Line).
What is the fee for the Python for Data Analytics course in Dwarka?
It is part of Advance MIS & Analytics (₹20,000, 4–6 months), Professional MIS & Analytics + Job Placement (₹30,000, 6–8 months), Professional Data Science & AI (GenAI, ML & Agentic AI) (₹75,000 + GST, 10–12 months). Instalments are available.
Do you have weekend batches in Dwarka?
Yes — weekday and weekend batches run at the Dwarka branch, and live online batches are available if you cannot travel.
Is there placement support?
Yes. Aptitude training, resume and LinkedIn building, mock interviews and company drives through our online test portal.
Students from which areas join this branch?
Mostly from Dwarka, Palam, Dabri, Sagarpur, Bindapur, Dwarka Mor and nearby areas of West Delhi.