Understanding Python and SQL in a Data Analytics Course in Delhi
Introduction
Are you thinking about joining a data analytics course in Delhi? If yes, then you must have heard about Python and SQL. These two tools are very important in the world of data analytics. In fact, without Python and SQL, it is very hard to work as a data analyst. But don’t worry—if you are a beginner, this article will explain everything in very simple words.
At Uncodemy, our data analytics course in Delhi focuses strongly on Python and SQL. Why? Because they are the building blocks of data analytics. Let’s understand what these tools are, why they are important, and how Uncodemy teaches them in an easy and practical way.
What Is Data Analytics?
Before we talk about Python and SQL, let’s understand what data analytics means.
Data analytics is the process of collecting, organizing, and analyzing data to make better decisions. For example, a company might want to know:
- Why are sales going down?
- Which product is most popular?
- What are customers searching for?
To find answers, companies collect data. Then, data analysts use tools like Python and SQL to find patterns and trends in the data. Based on these findings, the company can make smart decisions.
Why Are Python and SQL Important in Data Analytics?
Let’s now focus on Python and SQL and why they are so useful.
1. Python – The Power Tool
Python is a programming language. It is very easy to learn and write, even if you have never done coding before. Python is popular because:
- It has simple syntax (easy to read).
- It has powerful libraries for data analysis.
- It is used by top companies like Google, Netflix, and Facebook.
With Python, you can clean data, analyze it, make graphs, and even build machine learning models.
2. SQL – The Data Language
SQL stands for Structured Query Language. It is used to talk to databases. Databases store a lot of data, and with SQL, you can:
- Retrieve data (get data from tables).
- Filter data (show only what you need).
- Update or delete data.
- Combine data from multiple tables.
In simple words, SQL helps you get the right data. Python helps you analyze it.
What You Will Learn at Uncodemy
At Uncodemy, we understand that many students are new to programming. So, we teach Python and SQL in a very beginner-friendly way. Our trainers focus on step-by-step learning, with real-life examples.
Here’s what you will learn in the Data Analytics course in delhi at Uncodemy:
Python Module
- Python Basics
- What is Python?
- How to install Python?
- Variables, data types, and simple programs.
- Control Flow
- If-else conditions.
- Loops (for, while).
- Writing clean and efficient code.
- Functions and Modules
- How to write your own functions.
- Importing and using Python libraries.
- Data Structures in Python
- Lists, Tuples, Dictionaries, Sets.
- How to store and manage data efficiently.
- Working with Libraries
- Pandas: For data manipulation.
- NumPy: For mathematical operations.
- Matplotlib & Seaborn: For data visualization (charts and graphs).
- Real-Life Projects
- Sales data analysis.
- Customer behavior tracking.
- Social media trends analysis.
SQL Module
- SQL Basics
- What is SQL?
- Understanding databases and tables.
- Basic commands: SELECT, INSERT, UPDATE, DELETE.
- Filtering Data
- WHERE, AND, OR, NOT.
- Sorting and limiting results.
- Working with Multiple Tables
- JOINS: INNER JOIN, LEFT JOIN, RIGHT JOIN.
- Grouping data using GROUP BY and HAVING.
- Advanced SQL
- Subqueries.
- Case statements.
- Window functions.
- Database Projects
- E-commerce data exploration.
- Customer database queries.
- Inventory management analysis.
Benefits of Learning Python and SQL Together
Learning Python and SQL together gives you superpowers as a data analyst. Here’s how:
- Better Efficiency: SQL helps you get the exact data. Python helps you clean and analyze it quickly.
- More Job Opportunities: Most data analyst jobs require knowledge of both tools.
- Easy to Learn: Both are beginner-friendly, especially when taught the right way (like at Uncodemy).
- Real-World Applications: From healthcare to finance to social media—these tools are used everywhere.
Why Choose Uncodemy for Data Analytics Course in Delhi?
Here’s why students trust Uncodemy for learning data analytics:
1. Beginner-Friendly Teaching
We don’t expect you to be a coder. We start from scratch. Every topic is explained in simple terms with examples.
2. Expert Trainers
Our trainers are industry professionals with real experience. They know what companies want and prepare you for it.
3. Practical Learning
Theory alone is not enough. We focus on hands-on learning with projects, assignments, and case studies.
4. Placement Assistance
We help you build your resume, prepare for interviews, and connect with top companies for job opportunities.
5. Affordable Fees
Learning should be for everyone. Our course fees are budget-friendly compared to other institutes in Delhi.
6. Online and Offline Options
Whether you prefer classroom training or learning from home, Uncodemy offers both options.
How Python and SQL Help in Real Jobs
Let’s look at some real job examples where Python and SQL are used:
1. Marketing Analyst
A marketing analyst uses SQL to find customer data and Python to understand which campaigns worked best.
2. Business Analyst
Business analysts use SQL to pull data from company systems and Python to prepare dashboards and reports.
3. Product Analyst
They study user behavior using SQL and create visualizations using Python to help improve the product.
4. Data Analyst in E-commerce
They use SQL to check which products are selling the most and Python to analyze buying patterns.
Simple Example of Python and SQL in Action
Let’s say you work at a company like Amazon. You want to find out which products sold the most in the last month.
- Use SQL to get the data from the database:
sqlCopyEditSELECT product_name, SUM(quantity) AS total_sold
FROM orders
WHERE order_date >= '2025-06-01' AND order_date <= '2025-06-30'
GROUP BY product_name
ORDER BY total_sold DESC;
- Use Python to make a graph:
pythonCopyEditimport pandas as pd
import matplotlib.pyplot as plt
# Assume you already have the SQL data in a DataFrame
df = pd.read_csv("sales_data.csv")
plt.bar(df, df)
plt.xticks(rotation=90)
plt.title("Top Selling Products in June")
plt.show()
This is just a simple example. You will learn much more at Uncodemy!
What Students Say About Uncodemy
Here are some student reviews:
Ritika Sharma:
“I was new to coding but Uncodemy made Python very easy. Now I’m working as a data analyst!”
Mohit Kumar:
“SQL scared me before, but the practical sessions at Uncodemy helped a lot. I loved the real-time projects.”
Neha Rajput:
“I joined Uncodemy’s data analytics course in Delhi and learned Python, SQL, and even Power BI. Great trainers and support!”
Final Thoughts
Python and SQL are must-have tools if you want to become a successful data analyst. The good news is—they are not hard to learn if you get the right guidance. At Uncodemy, we are committed to making your data analytics journey smooth and enjoyable.
Whether you’re a student, fresher, or working professional, our Data Analytics course in delhi will give you the skills you need. You will learn Python and SQL in a simple, clear, and practical way.
So, are you ready to start your journey in data analytics?
Join Uncodemy Today!
FAQs
Q1. Do I need coding knowledge to join Uncodemy’s data analytics course?
No. We start from scratch. You don’t need any background in coding.
Q2. Can I get a job after completing the course?
Yes! We offer placement support and prepare you for real jobs.
Q3. How long is the course?
The full course usually takes 3 to 6 months, depending on your pace and batch.
Q4. Do you offer certificates?
Yes. After course completion, you get a recognized certificate from Uncodemy.
Q5. What if I miss a class?
We provide class recordings and doubt sessions so you never fall behind.
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