Data Programming is the practice of writing code to collect, clean, analyze, and visualize data efficiently. This course is designed to give you a practical foundation in programming with data using languages like Python (primarily) and tools commonly used in data engineering and analytics. Perfect for beginners, non-programmers, analysts, and anyone transitioning to data-centric roles such as Data Analysts, Data Engineers, or Data Scientists.
What is Data Programming?
Real-world Applications in Business, Health, Finance, etc.
Programming Languages for Data (Python, SQL Overview)
Tools and IDEs: Jupyter, VS Code
Python Syntax, Variables, Data Types
Control Structures: if, for, while, try-except
Functions and Modules
File Handling and Data Input
Working with Dates and Time
Lists, Dictionaries, Sets, and Tuples
String Operations
Comprehensions and Lambda Functions
JSON and CSV File Handling
Regular Expressions for Data Cleaning
Introduction to Pandas & DataFrames
Reading and Writing CSV/Excel/JSON
Data Cleaning: Handling Missing Values, Duplicates
Filtering, Sorting, and Grouping Data
Merging & Joining Multiple Datasets
Introduction to Data Visualization
Line, Bar, Pie, and Scatter Plots
Histograms and Boxplots
Customizing Visuals: Titles, Colors, Legends
Using Seaborn for Advanced Charts
What is a Database?
Relational Database Concepts
Writing SQL Queries (SELECT, JOIN, GROUP BY, etc.)
Connecting Python with SQL (SQLite / MySQL)
Performing CRUD Operations on Datasets
Writing Data Scripts (ETL Style)
Web Scraping Basics with requests & BeautifulSoup
Automating CSV Reports and Emailing
Using schedule and time modules for auto-tasks
Sales Data Analysis Project
Web-Scraped COVID Tracker
Excel Report Generator
Data Cleaning Pipeline Project
Learn practical programming skills for working with real data
Build a strong base for data science, analytics, or engineering roles
No coding experience required – perfect for freshers & analysts
Helps with automating daily tasks involving Excel, CSV, or SQL
Bridges the gap between business logic and tech implementation
Data Programming vs. Data Science vs. Data Engineering – Which path suits you?
Resume Building for Data Roles
GitHub Portfolio Guidance
Freelance Data Jobs Guide
Certification Advice (Google, IBM, Microsoft Data certs)
🔍 Roles You Can Apply For:
Data Programmer / Data Analyst Intern
Junior Data Engineer
Python Automation Developer
Reporting Analyst
Business Intelligence Assistant
💸 Expected Salary Range (India):
| Experience Level | Role | Avg Salary |
|---|---|---|
| 0–1 years | Data Programming Intern | ₹2.5 – ₹4 LPA |
| 1–3 years | Data Analyst / Programmer | ₹4 – ₹6.5 LPA |
| 3–5 years | Data Engineer / BI Analyst | ₹7 – ₹12 LPA |
✅ Hands-on Projects
✅ Resume Profile Support
✅ Real-World Data Use Cases
✅ Certificate of Completion
✅ Access to Community Group for Help & Jobs
✅ Interview Prep + Q&A PDFs
TechShappers is a leading institute offering hands-on, practical training for both working professionals and freshers to excel in their careers.
Learn, grow, and succeed with Techshappers– your partner in building a brighter future for your child.