A Deep Dive into the Curriculum of a Top Data Analytics Course in Delhi

In today’s data-driven world, Data Analytics has become one of the most in-demand skills. From healthcare and finance to e-commerce and marketing, every industry relies on data to make better decisions. But learning data analytics is not just about understanding numbers — it's about learning the tools, techniques, and thinking process behind analyzing data effectively.

If you're looking to build a career in data analytics, choosing the right course is your first step. And if you're in Delhi, you're in luck. The city offers many options — but the curriculum at Uncodemy’s Data Analytics Course in Delhi is one of the best and most complete in the country.

In this article, we’ll take a deep dive into the curriculum offered by Uncodemy, understand what you’ll learn, how it will help you, and why this course stands out.

Why the Curriculum Matters

Before we go into the details, let’s understand why curriculum is so important.

A good curriculum:

• Covers all the essential topics

• Is updated with the latest tools and technologies

• Is designed by industry experts

• Offers practical, real-world projects

• Prepares you for jobs, not just exams

  
  

At Uncodemy, all of these points are carefully considered while designing the Data Analytics Course in Delhi.

Course Overview: What You’ll Learn

Uncodemy’s Data Analytics curriculum is designed for beginners and working professionals. You don't need a technical background to start — everything is taught step by step.

Here’s what the curriculum looks like:

1. Introduction to Data Analytics

Before diving into tools and coding, you’ll learn:

• What is Data Analytics?

• Types of analytics: Descriptive, Diagnostic, Predictive, Prescriptive

• Importance of data in business

• Career opportunities in data analytics

Goal: Help you understand the field and how it impacts real-world business decisions.

2. Excel for Data Analytics

Excel is still one of the most powerful tools for basic data analysis. In this module, you’ll learn:

• Data cleaning using Excel

• Functions and formulas

• Pivot tables and charts

• VLOOKUP, HLOOKUP, INDEX, MATCH

• Data visualization with Excel

Goal: Make you comfortable with handling and analyzing data using Excel.

3. SQL (Structured Query Language)

SQL is the language used to interact with databases. You will learn:

• Basics of databases and tables

• SQL queries: SELECT, WHERE, JOIN, GROUP BY, ORDER BY

• Subqueries and nested queries

• Data filtering and extraction

• Real-time project: Querying a large dataset

Goal: Teach you how to pull useful data from large databases.

4. Python for Data Analysis

Python is the most popular programming language in data analytics. Don’t worry if you’ve never coded before — this course covers everything from scratch.

You will learn:

• Python basics: variables, data types, loops, and functions

• Pandas for data manipulation

• NumPy for numerical analysis

• Matplotlib and Seaborn for data visualization

Goal: Help you work with large datasets and extract insights using Python.

5. Data Cleaning and Data Wrangling

Data is rarely clean. This module teaches you how to:

• Handle missing values

• Detect and remove duplicates

• Convert data types

• Normalize and scale data

• Deal with outliers

Goal: Teach you how to prepare raw data for analysis.

6. Statistics and Probability

Analytics requires a good understanding of statistics. In this module, you will learn:

• Mean, Median, Mode, Variance, Standard Deviation

• Probability theory

• Distributions: Normal, Binomial, Poisson

• Hypothesis testing and confidence intervals

Goal: Help you understand the mathematical foundation behind analytics.

7. Data Visualization and Reporting

You will learn to create dashboards and data stories that help businesses make decisions. Topics include:

• Types of charts: bar, line, pie, scatter

• Creating dashboards with Excel and Power BI

• Data storytelling techniques

• Interactive visualizations with Tableau

Goal: Make your data easy to understand and present to stakeholders.

8. Power BI and Tableau

These are powerful Business Intelligence (BI) tools used widely in companies. You will learn:

• Connecting data sources

• Creating interactive dashboards

• Using DAX (Data Analysis Expressions) in Power BI

• Filters, slicers, and visual interactions

  
  

Goal: Build professional reports and dashboards that are industry-ready.

9. Machine Learning Basics (Optional/Advanced Module)

If you're interested in going deeper, Uncodemy offers an optional advanced module where you can learn:

• Supervised vs. Unsupervised learning

• Linear Regression and Logistic Regression

• K-Means Clustering

• Decision Trees and Random Forests

Goal: Introduce you to predictive modeling and advanced analytics.

10. Capstone Projects and Case Studies

You will work on multiple real-world projects such as:

• Sales data analysis

• Customer segmentation

• Market basket analysis

• Healthcare analytics

• Web traffic analytics

  
  

Goal: Give you hands-on experience and build your portfolio for job applications.

11. Interview Preparation and Soft Skills

Uncodemy not only teaches you technical skills but also prepares you for the job market by offering:

• Resume writing tips

• Mock interviews

• HR and technical interview questions

• Communication skills workshops

  
  

Goal: Make you job-ready and confident for interviews.

Tools You’ll Master

Throughout the course, you’ll work with:

• Excel

• SQL

• Python

• Power BI

• Tableau

• Jupyter Notebook

• Google Sheets

• Git and GitHub (basic version control)

  
  

All of these are tools used by data analysts around the world. By the end of the course, you’ll be confident using them.

Who Can Join This Course?

Anyone with:

• Basic computer skills

• A desire to learn

• No coding background (because everything is taught from scratch)

  
  

This course is perfect for:

• Fresh graduates

• Working professionals looking to switch careers

• Business analysts

• Marketing professionals

• Engineers and non-technical students

  
  

Course Duration and Format

Uncodemy offers:

• Weekday and weekend batches

• Online and classroom options

• Live interactive sessions

• Lifetime access to recorded videos

• Flexible payment options

You can complete the course in 3 to 6 months, depending on your pace and schedule.

Certifications and Placement Support

Once you complete the course, you’ll get:

• Industry-recognized certification from Uncodemy

• Guidance on international certifications (Microsoft, Tableau, Google Analytics, etc.)

• Placement support with interview calls

• Career counseling and LinkedIn profile review

  
  

Why Choose Uncodemy’s Data Analytics Course in Delhi?

✅ Industry-Ready Curriculum✅ Taught by Data Scientists & Analysts✅ Real-Time Projects & Assignments✅ Job Placement Assistance✅ Personalized Support✅ Affordable Course Fees✅ Trusted by 5000+ Learners

Final Thoughts

The field of data analytics is growing rapidly — and the demand for skilled analysts is higher than ever. But learning analytics is not just about using tools; it’s about understanding how to find patterns, draw conclusions, and make better decisions from data.

With Uncodemy’s Data Analytics Course in Delhi, you don’t just learn the skills — you build a strong foundation that prepares you for a long-term career in the tech and business world.

If you're serious about building a future in data, this course could be your smartest investment.