Data Science is more than just a buzzword—it’s a transformative discipline that combines scientific methods, algorithms, processes, and systems to extract valuable insights from structured and unstructured data alike.
The best data science Certification course in Delhi is designed to help you master these skills, making you a pro at uncovering knowledge that drives business decisions, optimizes operations, and fuels innovation.
By blending elements of statistics, computer science, mathematics, and domain expertise, this course equips you to analyze and interpret complex data sets. From developing machine learning models to leveraging AI, business analytics, and automation, the possibilities with Data Science are endless.
Enrolling in a top-tier data science certification course in Delhi could be one of the smartest moves for your career. It opens doors to high-demand roles and ensures you’re ready to tackle real-world challenges in this dynamic field.
- Benefits of Data Science Certification in 2024
- Best Data Science Certification Course in Hyderabad: Code & Debug
- Best Data Science Training Institutes in Hyderabad: Learning Outcomes
- Best DS Certification in Hyderabad: Course Curriculum
- What Our Students Say?
- Why Code & Debug for DS Training in Hyderabad?
- FAQs
Benefits of Data Science Certification in 2025
| Career advancement | High demand in job market | Increased earning potential |
| Industry credibility & recognition | Career flexibility & growth | Improved critical thinking |
| Enhanced creativity & innovation | Increased job security | Opportunities in AI & automation |
Best Data Science Certification Course in Delhi: Code & Debug
Offering the best Data Science course in Delhi, Code & Debug has developed a comprehensive course. Designed for beginners, intermediate as well as experienced learners, it helps you get hands-on experience on DS fundamentals with Python, statistics, deep learning & more. All while solving real-life problems.
Become a Expert data scientist in just 4 months & get ready to crack coding interviews with ease.
Also read about the best Python course in Delhi.
Best Data Science Training Institutes in Delhi: Learning Outcomes
| Master DS Concepts | Master Data Wrangling & Statistics |
| Industry-aligned Curriculum | Hands-on Learning on Real-World Problems |
| Learn Deep Learning & NLP | Learn Relational Databases & ML |
| Industry-leading Expert Instructors | Interview Preparation |
| Efficient Problem Solving | Project-based Learning with Real-World Applications |
Best DS Certification in Delhi: Course Curriculum
At Code & Debug, our syllabus is designed to take you from foundational concepts to advanced problem-solving techniques.
We believe in delivering a well-rounded, thorough learning experience. One that doesn’t just hover upon topics but covers every crucial aspect of learning DS.
Here’s what you’ll be learning in the journey of becoming a data scientist:
Module – 1
Python – Basic to Advance
- Python Keywords and identifiers
- Comments, indentation and statements
- Variables and data types in Python
- Operators
- Control flow: if, else, elif
- Control flow: while loop, for loop, break and continue
- Strings
- Lists, Lists comprehension
- Tuples
- Sets
- Dictionary, Dictionary Comprehension
- In-built Functions and Methods and types of function arguments
- Class hands-on: 8+ Programs to be covered in the functions, Lambda, modules, Generators, and Packages class
- Decorators
- Map, reduce, filter functions.
- OOPs in Python.
- Errors and Exception Handling.
- File Handling
Module – 2
Numerical Coding with Python
- Mastering Data Wrangling
- Advanced Data Wrangling Concepts
- Data Wrangling on Different Data Formats
- Data Visualization with Matplotlib & Seaborn
- Data Vizualization Tips & Variable Analysis
- Exploratory Data Analysis | Ecommerce Case Study
- Data Modelling via APIs
- Interactive Visuals with Plotly
- Streamlit Dashboards with dynamic Interactions
Module – 3
Relational Database
- Dealing With Multiple Tables
- Advanced SQL Joins
- Type Casting & Math Functions
- DateTime Functions
- String Functions
- Window Functions
- Complex queries using CTE & Connecting with Azure Database
- Data Exploration With SQL & Python
- Database Management & Schema Design
Module – 4 (Stats)
Stats Basics
- Intro to basic stats terms
- Types of statistics
- Types of data
- Levels of Measurement
- Measure of Central Tendency
- Measure of Dispersion
- Random Variables
- Set
- Skewness
- Covariance and Correlation
Stats Advance
- Prob density/distribution function
- Types of the prob distribution
- Binomial Distribution
- Prob Density function and Mass Function
- Cumulative Density Function
- Examples of Normal Distribution
- Bernoulii Distribution
- Cumulative Density Function
- Examples Of Normal Distribution
- Bernoulli Distribution
- Uniform Distribution
- Z Stats
- Central Limit Theorem
- Estimation
- A Hypothesis
- Hypothesis Testing’s Mechanism
- P-Value
- T-Stats
- Student T Distribution
- T-Stats Vs. Z-Stats: Overview
- When To Use A T-Tests Vs. Z-Tests
- Type 1 & Type 2 Error
- Bayes Statistics (Bayes Theorem)
- Confidence Interval(Ci)
- Confidence Intervals And The Margin Of Error
- Interpreting Confidence Levels And Confidence Intervals
- Chi-Square Test
- Chi-Square Distribution Using Python
- Chi-Square For Goodness Of Fit Test
- When To Use Which Statistical Distribution?
- Analysis Of Variance (ANOVA)
- Assumptions To Use Anova
- Anova Three Type
- Partitioning Of Variance In The Anova
- Calculating Using Python
- F-Distribution
- F-Test (Variance Ratio Test)
- Determining The Values Of F
- F Distribution Using Python
Module – 5 (Machine Learning)
Supervised Learning
- Linear Regression Analysis
- Decision Tree
- Random Forest
- K-Nearest Neighbour
- Support Vector Machine
- Logistic Regression
- Naive Bayes
Unsupervised Learning
- Clustering K means and Hierarchical
- Principle Component Analysis
- Recommendation System
Time Series & Ensemble Techniques
- Boosting | Gradient
- Boosting | XGBoost
- Understanding Time Series
- Arima
Module – 6
Deep Learning
- Machine Learning Vs Deep Learning
- Tensorflow | Keras | Pytorch
- Overview Caffe and Theano
- Artificial Neural Networks (ANN)
- Recurrent Neural Networks
- Convolutional Neural Networks
- Autoencoders and Boltzmann Machine
- Natural Language Processing
- NLP & Text Analytics
- Text Data Pre-processing and Cleaning
- Information Retrieval Systems, Topic Modeling
- Distance Algorithms and Entity Extractions Reinforcement Learning
- Introduction to RL
- Open AI
- RL Techniques and Methods
- Deep Q- Learning Computer Vision
- Image Processing
- Open CV
- Object Detection
What Our Students Say?
Enrolling in the Data Science course with Code and Debug has been an outstanding experience. The mentor’s unique and efficient teaching style simplifies complex topics, making them easy to understand. Starting from the basics, he guides us step by step to an advanced level. Thanks to his expert guidance, I now feel confident in solving Data Science problems independently.
Gaurav Verma
One of the top data science courses in Delhi! The teaching approach simplified even the most complex topics, making them easy to grasp. I was able to solve numerous questions independently just by following your lectures.
Sonali Singh
Why Code & Debug for DS Training in Delhi?
| Live Interactive Training | Everyday Doubt Sessions |
| Weekly Tests | Daily Assignments |
| FAANG-Level Questions | Resume Building |
| LinkedIn and X Building | Career Support |
FAQs
I have no prior programming experience. Can I still register for classes?
Certainly! The classes are beginner-friendly and tailored to guide you from scratch. So, there is no need to know anything about coding beforehand.
Is it a live class or a pre-recorded course?
It’s a live class, allowing real-time interaction with instructors and solutions to leetcode questions for logic buildup.
What if I miss a live session? Can I catch up?
Yes, recordings will be available for missed sessions. All the recordings of LIVE classes will be available.
Is there a refund available?
Yes, a refund is possible within 14 days of the class starting date. No questions asked.
Do I need any prerequisites before starting the classes?
No prerequisites needed. The class will start from the basics and will go till advance.
