Python for Data Analytics & Automation — syllabus 2026
Python built for analysts: Pandas, NumPy and charts, then statistics, SQL integration and automating Excel and email reports, ending with real analytics projects and interview prep.
Module-wise syllabus
Tap a module to see every topic. The same syllabus is used in our classroom and live online batches.
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
Projects & practice
Programmes that include Python
| 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 |
Learning only Python? See the Python course page or the local pages for Dwarka Uttam Nagar Janakpuri .
Frequently asked questions
Can I download the Python syllabus as a PDF?
Yes. Use the “Download syllabus PDF” button on this page — enter your name and mobile number and the PDF opens instantly.
How long does the Python course take?
It is taught inside our programmes: 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). Module-wise batches are also possible — ask the counsellor.
Is it online or classroom?
Both. Classroom batches run at our Dwarka, Uttam Nagar and Janakpuri branches, and live online batches are available.