Python Analyst
Clean, transform and analyze data with Python. Turn raw datasets into meaningful business insights.
View Analyst Course ↗SQL SCHOOL · Practical, instructor-led technology training since 2008Questions? +91 99514 40801 · contact@sqlschool.com
LIVE Online · Self-Paced · Project-Based
Learn Python.
Build skills that open doors.
From your first line of code to data analytics, automation, AI/ML and full-stack development — choose the Python learning path that fits your career goal. Learn with practical exercises, real-world scenarios and expert guidance at SQL School.
Beginner-friendly foundationsHands-on projectsCareer & interview guidance
# Your journey from data to insights
import pandas as pd
sales = pd.read_csv("sales.csv")
report = sales.groupby("city")["revenue"].sum()
print(report.sort_values(ascending=False))
import pandas as pd
sales = pd.read_csv("sales.csv")
report = sales.groupby("city")["revenue"].sum()
print(report.sort_values(ascending=False))
Output · sample training data
| City | Revenue (₹) |
|---|---|
| Hyderabad | 8,45,000 |
| Bengaluru | 6,20,000 |
| Pune | 4,80,000 |
⌁ Python → Real ProjectsPractice. Build. Grow.
Since 2008Technology training in Hyderabad
4 Python PathsAnalytics · Coding · AI · Web
Practical LearningExercises + project experience
FREE DemoExplore before enrolling
Choose Your Specialization
One language. Four powerful career paths.
Not everyone learns Python for the same reason. Choose a focused program for your current skill level and future role.
Python Programmer
Develop core programming confidence, build scripts, write reusable functions and automate workflows.
View Programmer Course ↗Python AI–ML
Explore machine learning workflows, model training, evaluation and practical AI applications with Python.
View AI–ML Course ↗Python Full Stack
Build database-driven web applications, combining Python backends with responsive user interfaces.
View Full Stack Course ↗Not sure which Python course is right for you?
Tell us your background and goal. We will help you compare the options before enrolling.
Interactive Course Guide
What do you want to do with Python?
Select your primary goal to see the most relevant learning path.
Recommended: Python Analyst
For learners who want to work with spreadsheets, databases, reporting, business questions and structured data using Python.
- Python fundamentals and Jupyter Notebooks
- DataFrames, Pandas, NumPy and data cleaning
- Python + SQL Server data access
- Charts, insights and a banking/finance analysis case study
Recommended: Python Programmer
For learners who want to become more confident in coding, scripting and building reusable software components.
- Variables, collections, loops and control flow
- Functions, modules and object-oriented programming
- Exceptions, files, regular expressions and APIs
- Scripting, automation and application fundamentals
Recommended: Python AI–ML
For learners who want to go beyond basic Python and understand how predictive models and AI-powered applications are built.
- Python, Pandas and data preparation for ML
- Regression, classification and clustering
- Model evaluation with scikit-learn
- Introductory NLP, AI use cases and deployment concepts
Recommended: Python Full Stack
For learners aiming to build complete, interactive web applications from user interface through database and server logic.
- Python fundamentals and backend architecture
- HTML, CSS, JavaScript and web UI concepts
- Flask / Django, routes, templates and APIs
- SQL integration and end-to-end web projects
Learning Roadmap
From beginner to real project work.
Our training journey is designed to move from understanding concepts to using them. Advanced topics depend on your chosen specialization.
STEP 01
Get Set Up
Python, VS Code or Jupyter, environments and your first program.
STEP 02
Learn the Logic
Data types, loops, decisions, collections and functions.
STEP 03
Work with Data
Files, Pandas, NumPy, SQL and data processing.
STEP 04
Specialize
Analytics, application coding, AI/ML or full stack.
STEP 05
Build & Present
Projects, code review, interview discussion and next steps.
Skills You Can Apply
Learn the tools. Understand the workflow.
Your exact syllabus depends on your selected program. These are the main technology areas across SQL School's Python tracks.
Core Python
Variables, data types, conditions, loops, functions, modules and error handling.
Python Data Analytics
Pandas DataFrames, NumPy, cleansing, merging, aggregation and visualization.
Databases & SQL
Query data and connect Python applications to SQL Server using relevant libraries.
Automation & APIs
Files, exceptions, HTTP/API fundamentals and reusable scripts for everyday tasks.
AI & Machine Learning
Data preparation, supervised and unsupervised learning, evaluation and model use cases.
Web Development
Flask/Django foundations, HTML, CSS, JavaScript and database-backed apps.
Detailed Curriculum
Explore what you will learn.
Open a module to review the subjects. Core Python comes first; specialization modules vary by course plan and track.
01 Python Foundations +
- Introduction, Python architecture and execution flow
- Installation, IDEs and Jupyter Notebooks
- Variables, data types, type conversion and operators
- Strings, lists, tuples, sets and dictionaries
- Conditional statements, for/while loops and iteration
- Functions, parameters, lambda and recursion
02 Analytics & SQL Integration +
- DataFrames using Pandas and NumPy
- Importing data from CSV and structured files
- Cleaning missing and duplicate values
- Joins, concatenation, grouping and transformations
- Python connections to SQL Server with pyodbc
- Simple visualizations with Matplotlib / Seaborn
03 Programming & Automation +
- Modules, packages and reusable code
- File I/O, os/path operations and exception handling
- Classes, objects, inheritance and polymorphism
- Regular expressions and text processing
- Automation workflows and API integration basics
- Testing, debugging and code organization practices
04 AI & Machine Learning +
- Machine learning problem types and workflows
- Data preprocessing and train/test evaluation
- Linear / logistic regression and decision trees
- Random forests, clustering, K-means and DBSCAN
- scikit-learn and introduction to NLP
- Model-serving concepts using tools such as Flask or Streamlit
05 Python Full Stack +
- Frontend basics: HTML, CSS and JavaScript
- Backend foundations using Flask and Django
- Templates, forms, routing and web requests
- SQL database access and CRUD workflows
- REST API fundamentals and integration
- Building a complete database-driven application
06 Project & Career Preparation +
- Scenario-based exercises with business datasets
- Hands-on real-time project work in your chosen track
- Project explanation and portfolio discussion
- Interview practice and concept-wise questions
- Resume and career preparation guidance
- Learning recommendations for your next role
Note: This is a consolidated overview across four separate tracks, not a promise that every topic appears in every course. Refer to the individual course syllabus or request the latest brochure before enrolling.
Project-Based Learning
Don't just watch Python. Use it.
Work through practical problems and learn to explain the logic behind your code. These are illustrative project formats; assigned projects depend on the selected course.
DATA ANALYTICS▥
Analytics Example
Banking Data Insights
Import transaction data, handle missing records, aggregate customer behavior and summarize findings with Python and Pandas.
AUTOMATION>_
Programming Example
Automated Reporting
Create a Python workflow to read input files, validate records and generate a repeatable operational report.
AI / WEB✳
Specialization Example
Predictive Web App
Prepare a dataset, explore a simple ML model and see how predictions can be exposed through an app interface.
Who Can Join?
Designed for beginners and working professionals.
You do not need prior coding experience to begin the foundation modules. Advanced tracks build progressively on those basics.
College students
Fresh graduates
Data / Excel analysts
IT professionals
Software testers
Career switchers
For AI/ML, comfort with Python, data concepts and some statistics becomes useful as you progress.
Where can Python take you?
Python is useful across many professional roles. The appropriate path depends on your background, your chosen specialization and your practical portfolio.
Python DeveloperData AnalystAutomation DeveloperBackend DeveloperFull Stack DeveloperML / AI TraineeAnalytics EngineerQA Automation
These are potential career directions, not employment or salary guarantees.
Discuss My Learning Path ↗Why SQL School?
Training built around doing.
Learn through guided instruction, practice and real-world context — not isolated theory alone.
✓
Live Instructor-Led Options
Ask questions, learn concepts step by step and get guided demonstrations.
✓
Self-Paced Learning Options
Explore on-demand learning formats where available for your chosen track.
✓
Practice & Projects
Apply concepts to datasets, scripts or application tasks with practical exercises.
✓
Interview Preparation
Concept-wise questions and guidance for communicating your project experience.
✓
Career Support
Resume, interview and job-assistance guidance without promises of placement.
✓
Free LIVE Demo
Evaluate the teaching approach before making a paid enrollment decision.
Your First Step
Start with a FREE LIVE Python demo.
Not sure where to begin? Join an introductory session, review the course options and speak with SQL School before choosing your learning path.
- Understand the available Python tracks
- Ask about batch timings and learning mode
- Request the latest detailed syllabus
- Explore prerequisites and course expectations
Reserve your demo enquiry
Complete the existing SQL School Python Courses registration form below.
Form not loading? Open registration in a new tab ↗Frequently Asked Questions
Everything you need to know.
Still have questions? You can ask them during the FREE demo or message our team.
Can I learn Python without coding experience?
Yes. The beginner modules start with setup, variables, data types, conditions, loops and functions. Regular practice is important, and advanced specializations introduce additional concepts.
Which Python course should I choose?
Choose Python Analyst for data work, Python Programmer for coding and automation, Python AI–ML for machine learning, and Python Full Stack for web application development. Use the interactive course selector above if you are uncertain.
Do you provide live online and recorded options?
SQL School lists live online and on-demand formats for its Python courses. Confirm current availability, access conditions and batch timings with the team before enrolling.
Will I work on a real-world project?
The current SQL School Python course pages describe project-based learning, including a real-time project. Project scope and deliverables depend on the chosen specialization.
Does Python training include Pandas, NumPy and SQL?
These topics are included in the relevant analytics pathways. Coverage differs across courses, so review the syllabus for your chosen program.
Does Python AI–ML include machine learning algorithms?
Yes. The published AI–ML pathway lists concepts such as regression, classification, clustering, model evaluation and common Python machine learning libraries.
Do you provide interview or placement assistance?
SQL School describes resume guidance, interview preparation and job assistance. These support services do not guarantee a job, interview or salary outcome.
How do I know the next batch schedule and course fee?
Register for the FREE demo or contact the SQL School team to receive the current batch options, latest syllabus, course duration and applicable fee details.
Is the FREE LIVE demo the complete training course?
No. The introductory demo allows you to experience the training approach and ask questions. The full instructor-led training program is paid.
One decision can start your Python journey.
Explore the tracks, ask your questions and attend a free demo.
© SQL School · Python training programs · Course coverage and schedules may change. Confirm details before enrolling.
