Best Data Science Course in Noida with AI
Our data science course in Noida that covers AI, machine learning, and Python from scratch. Real projects, expert trainers, and 100% job assistance.
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Data Science with AI Course Syllabus
ADVANCE PYTHON PROGRAMMING
1. Introduction to Python
- Simple
- Open Source
- High Level Programming
- Portable
- Object and Procedure Oriented
- Easy to Maintain
2. Input and Output Functions
- The Input() function
- The print() function
n use of % percent operator
n use of format()
3. Variable and Data Types
- What is a Variable
- Assign Values to variable
- Typecasting
- Data Types in Python
n Numeric
n String
n Boolean
n Componup
n List
n Tuple
n Set
n FrozenSet
n Dictionary
4. Operators in Python
- Types of Operators
n Arithmetic Operators
n Comparison Operators
n Assignment Operators
n Logical Operators
n Bitwise Operators
n Identity Operators
n Membership Operators
n Operators Associativity
n Operator Precedence
n BEDMAS
5. Conditional Statements in Python
- The if Statement
- if- else statement
- The elif Statement
- Nested if-else ladder
6. Loops in Python
- Use of while loop
- use of for loop
- range) function
- arange) function
- The break Statement
- The continue Statement
- The pass statement
7. User defined functions in python
- Define a function
- calling a function
- Types of function
- UDF
- Function Arguments
- Functions Parameters
- Anonymous Function
- Global and Local Variable
- lambda
- map
- reduce
- Filter
- Mathematical Function
- Trigonometric Function
- Random Function
8. Strings in python
- creating strings
- difference between “” &”
- creating multiline comment
- basic string operations
- creating slices in strings
- String Built-in Functions
- n capitalize()
- n upper()
- n lower()
- n isalnum()
- n isalpha()
- n isnumeric()
- n isdecimal()
- n islower()
- n isupper()
9. List
- Access List items
- Change List items
- Add List Items
- Remove List Items
- Loop List
- List Comprehension
- Copy List
- Join List
- List built-in Method
- n append()
- n count()
- n extend()
- nreverse()
- n sort()
10. Tuple
- Access Tuples
- Update Tuples
- UnpackTuples
- LoopTuple
- JoinTuples
- Tuplebuilt-in Methods
- n index()
- n count()
11. Sets
- Create Sets
- Access Set items
- Add Set items
- Remove Set items
- Loop Sets
- Join Sets
12. Dictionaries
- Create Dictionaries
- Access Dictionary items
- Change Dictionary items
- Add Dictionary items
- Remove Dictionary items
- Loop Dictionaries
- Copy Dictionaries
- Nested Dictionaries
- Dictionary built-in Methods
- n keys()
- n values()
- n items()
- n get()
13. Python Modules
- Date Module
- Time Module
- os Module
- The import statement
- The from…import Statement
14. File Handling in Python
- Readfiles
- Write/ Create files
- Delete files
- Rename files
15. Exception Handling
- Error in Python Program
- Syntax error
- Exception
- Types of Exceptionvelopment
- Handling Exception in Python
- Raising Exception
- User Defined Exception
16. Regular Expression
- Match function
- Search function
- Matching VS Searching
- Modifiers
- Patterns
ITERATORS- GENERATORS
Object Oriented Programming
- Class
- Object
- Inheritance
- Polymorphism
- Overloading
- Overriding
- Abstraction
- Encapsulation
- Web scraping
STRUCTURE QUERY LANGUAGE (SQL)
1. MySQL
- Introduction
- MySQL Data Types
- Creating Databases in MySQL
- Some Useful Operations on MySQL Databases
- CreatingTables in MYSQL
- MYSQL Table Commands
- Using ALTER command in MySQL
- Using DESCRIBE in MYSQL
- Using TRUNCATE in MySQL
- Using DROP in MySQL
- ALTER Command in MySQL
- Sample Queries in MySQL
- Constraints in MySQL
- Using INSERT command in MySQL
- Using UPDATE command in MySQL
- Using DELETE command in MySQL
- SELECT Queries in MySQL
- Using REPLACE command in MySQL
- JOINS in MYSQL
- RIGHT JOINS in MySQL
- LEFT JOINS in MySQL
- INNER JOINS in MySQL
- LEFTJOINS vs RIGHTJOIN in MySQL
- Primary Keys in MySQL
- FOREIGN KEYS in MySQL
2. Jupyter Overview
- Updates to Notebook Zip
- Jupyter Notebooks
- Use of Google Colab
3. Git & GitHub
- GitHub Introduction
- GitHub Edit Core
- Pull from GitHub
- Push to GitHub
- GitHub Branch
PYTHON AND DATA SCIENCE LIBRARY
1. NumPy
- Creating arrays
- Array indexing
- Array slicing
- Numpy Data Types
- Copy vs View
- Array Shape
- Array reshape
- Iterating
- Join
- Search
- Filter
- Split
- Sort
2. Pandas
- Pandas Series
- Pandas Data Frame
- Read CVS
- ReadJSON
- Cleaning Data
- Missing Value Handling
- Optimizing Data Format
- Redundancy Minimization
- The corr() function
- Plotting Graphs in pandas
3. Matplotlib
- Welcome to the Data Visualization Section
- Introduction to Matplotlib
- Matplotlib Part 1
- Matplotlib Part 2
- Matplotlib Part 3
4. Seaborn
- Introduction to Seaborn
- Distribution Plots
- Categorical Plots
- Matrix Plots
- Grids
- Regression Plots
- Style and Color
STATISTICAL METHODS FOR DECISION MAKING
- Probability distribution
- Normal distribution
- Poisson’s distribution
- Descriptive Statistics
- Inferential Statistics
- Bayes’ theorem
- Central limit theorem
- Hypothesis testing
- One Sample T-Test
- Anova and Chi-Square
MACHINE LEARNING
1. Introduction To Machine Learning
- Importance Of Machine Learning
- How did Machine Learning work?
- Relationship Between Artificial Intelligence, Machine Learning, and Data Science
- Different Categories of Machine Learning: Supervised, Unsupervised and Reinforcement
- Applications of Machine Learning
2. Supervised Machine Learning
- Linear Regression
- Simple Linear Regression
- Multiple Linear Regression
- Performance Metrics: Accuracy Scores, R^2 And Adjusted RA2
- To Compare the Model with Different Numbers of Independent Variables.
- Approaches to Feature Selection: Univariate Selection, Feature Importance, RFE
- Parameter Tuning and Model Evaluation
- Data Transformation and Normalization
- Ridge & Lasso Regression (L1 & L2)
3. Logistic Regression
- Concept of Logistic Regression
- Univariate Logistic Regression
- Multivariate Logistic Regression: Model Building and Evaluation
- Dealing with Categorical Independent Variable – Hot Encoding Vs Dummy Variable
4. Decision Trees
- Concept of Decision Trees
- Importance and Usage of Ginny And Entropy
- Information Gain
- Visualizing Decision Trees Nodes and Splits
- Working of The Decision Tree Algorithm
- Extending Decision Trees to Regressing Problem
- Evaluating Decision Trees Models: Accuracy, Precision, Recall, Confusion Matrix
5. Classification – k Nearest Neighbor (KNN)
- Classification and Regression
- Application, Advantages and Disadvantages
- Distance Metric – Euclidean, Manhattan, Chebyshev, Minkow
- Measuring accuracy using Cross-Validation, Stratified k-fold, Confusion Matrix,Precision, Recall, Fl-score.
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Our Placed Students

Khushi Shaho
Web Developer
Placed at


Jay Prakash
Cyber Security Consultant
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Shristi Kumari
Software Developer
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Mukul Chauhan
Java Developer
Placed at

Skill & Tools That You will Learn

Excel

Power BI

Numpy

Pandas

Matplotlib

Seaborn

Jupyter

Julius

Colab

Claude

ChatGPT

Tableau

Copilot

Scikit learn

Postgre SQL

My SQL

Pytorch

GitHub

Plotly

Tensor Flow

LangChain

LightGBM

Antigravity

Cursor AI
You Learn 30+ Data Science Skills
- Data Collection
- Data Cleaning
- Data Wrangling
- Data Preprocessing
- Exploratory Data Analysis (EDA)
- Statistical Analysis
- Probability Analysis
- Feature Engineering
- Machine Learning
- Supervised Learning
- Unsupervised Learning
- Deep Learning
- Natural Language Processing (NLP)
- Computer Vision
- Predictive Modeling
- Model Evaluation
- Model Optimization
- Time Series Analysis
- Data Visualization
- Data Interpretation
- Data Mining
- Pattern Recognition
- Anomaly Detection
- Predictive Analytics
- Data Storytelling
- Model Deployment
- Problem Solving
- Critical Thinking
- Business Acumen
- Data-Driven Decision Making
Why Choose us?
Get Certified to boost your Professional Growth

What is Data Science?
Data science is the exciting field of extracting meaningful insights from raw data. It combines mathematics, statistics, programming, and artificial intelligence to solve real-world business problems and predict future trends.
Who can join this data science course in noida?
Anyone with a passion to learn! This includes college students (B.Tech, BCA, BBA, B.Sc), IT professionals looking to upskill, and non-IT professionals wanting to transition into the tech industry. It is a highly beginner-friendly program.
Salary after Data Science training
Freshers who complete our data science course in Noida can expect starting salaries between ₹4 LPA to ₹8 LPA. Experienced professionals can easily command salaries ranging from ₹12 LPA to ₹25+ LPA, depending on their prior experience and skill level.
Why Learn Data Science
You might be wondering, “Why should I invest my time in a data science course in Noida right now?”Here is exactly why you need to jump into this field immediately:
1. The Massive AI Boom
We are living in the golden age of Artificial Intelligence. Tools like ChatGPT, Gemini, and Midjourney have shown the world the power of data. However, AI cannot exist without data. Data scientists are the architects behind these AI systems. By taking our data science training in Noida, you position yourself at the very center of the global AI revolution.
2. Unprecedented Demand for Data Scientists
Every industry from healthcare and finance to e-commerce and digital marketing is generating mountains of data. Companies desperately need experts who can clean, analyze, and interpret this data. Because of this massive supply-demand gap, graduates from a reputable data science institute in Noida are hired almost instantly.
3. High Salary Stats
Let’s talk numbers. Data science remains one of the highest-paying jobs globally and in India. The average salary for a mid-level data scientist is soaring. By enrolling in the best data science training institute in Noida, you are essentially securing a high ROI (Return on Investment) for your education. It is not uncommon for our alumni to double or triple their previous salaries.
4. Explosive Career Growth
A job in data is not a dead-end street. Once you complete a data science course in Noida with placement, you start as an analyst or junior scientist. Within 2 to 3 years, you can quickly move up to Senior Data Scientist, Lead AI Engineer, or Chief Data Officer. The ladder goes all the way to the executive suite.
5. Cross-Industry Demand
Unlike some niche IT skills, data science is universal. Do you love sports? Sports teams hire data analysts. Love fashion? Retail brands need predictive modeling. By completing your data science training in Noida, you get the freedom to choose the industry you are most passionate about.
Career Opportunities After Data Science in Noida
Completing our data science course in Noida opens up a massive world of job profiles. You don’t just have to be a “data scientist” Here are the top career outcomes and realistic salary ranges in India you can expect:
Data Scientist
What they do: Use advanced statistics and machine learning to predict the future and solve complex business puzzles.
Salary Range: ₹8,000,000 – ₹20,000,000+ per year.
How we help: Our data science institute in Noida covers advanced ML algorithms to make you perfect for this role.
Data Analyst
What they do: Clean data, create visual dashboards, and help companies make day-to-day decisions.
Salary Range: ₹4,000,000 – ₹10,000,000 per year.
How we help: You will master data analytics using Power BI certification and Tableau during the course.
Machine Learning (ML) Engineer
What they do: Build, test, and deploy AI models into production environments.
Salary Range: ₹10,000,000 – ₹25,000,000+ per year.
How we help: Our machine learning training modules in Noida are heavily integrated into the core curriculum.
Business Intelligence (BI) Analyst
What they do: Focus on business strategy, creating reports that executives use to steer the company.
Salary Range: ₹6,000,000 – ₹14,000,000 per year.
How we help: Our data science course in Noida heavily emphasizes business problem-solving frameworks.
AI Engineer
What they do: Work with deep learning, neural networks, and NLP (natural language processing) to create intelligent systems.
Salary Range: ₹12,000,000 – ₹30,000,000+ per year.
How we help: We introduce you to deep learning architectures, building a b foundation for an AI course specialization.
Data Engineer
What they do: Build the infrastructure and pipelines that gather and store data safely.
Salary Range: ₹9,000,000 – ₹22,000,000 per year.
How we help: We teach you SQL and cloud basics to understand how data flows.
Note: These salaries vary based on your background, but graduating from the best data science training institute in Noida gives you a massive advantage in negotiations.
Why Choose Appwars Technologies for Data Science Course?
| Feature | Appwars Technologies | Average Training Institutes |
|---|---|---|
| Practical Approach | 80% Practical, 20% Theory | Mostly theoretical concepts |
| Beginner Friendly | Yes, absolutely! Basics to Advanced | Expects prior coding knowledge |
| Curriculum Updates | Updated for AI demands | Outdated syllabus |
| Placement Guarantee | Yes, dedicated placement cell | Only “assistance” or no support |
| Python Focus | Extensive Python for Data Science | Basic Python overview |
| Live Projects | 6+ Industry-level real projects | 1 or 2 basic textbook projects |
When looking for a data science course in Noida with placement, this table clearly shows why students and working professionals trust Appwars Technologies.
Tools Covered in Our Data Science Training in Noida
To become a top-tier data professional, you need to master the right tools. At Appwars Technologies, our data science course in Noida ensures you are highly proficient in the modern tech stack.
Here is what you will master:
- Python: The undisputed king of data. We dedicate extensive hours to Python for Data Science, ensuring you can write clean, efficient code. You can also explore our standalone Python course in Noida if you want to focus purely on programming first.
- SQL: The language of databases. You will learn to extract and manipulate data from complex relational databases.
- Excel: The classic tool that is still heavily used for quick analytics and data cleaning.
- Power BI & Tableau: The best tools for data visualization. You will learn to create stunning dashboards. (Check out our Data Analytics Course in Noida and Tableau course in Noida for deeper insights).
- Scikit-Learn, Pandas, NumPy: The holy trinity of Python for Data Science libraries.
- TensorFlow & Keras: For deep learning and advanced neural networks.
By mastering these tools at the best data science training institute in Noida, your resume will be irresistible to tech recruiters.
Live Projects Included in Data Science Training
Theory is good, but practice is what gets you hired. Companies don’t want to know what you read; they want to know what you have built. This is why our data science course in Noida with placement includes intense, real-world projects.
These projects will go straight into your GitHub portfolio, proving your skills to future employers:
1. Sales Forecasting
The Problem: A major retail store wants to know how many products they will sell next month to manage their inventory.
What you will do: You will use Python for data science and time series analysis to predict future sales based on historical data, holidays, and seasonal trends. This is a highly demanded skill in the e-commerce sector.
2. Fake News Detection
The Problem: Social media platforms are flooded with misinformation.
What you will do: You will build a Natural Language Processing (NLP) model that scans news articles and classifies them as “Real” or “Fake”. You will use TF-IDF vectorizers and machine learning classifiers. This project showcases your ability to handle unstructured text data.
3. Customer Segmentation
The Problem: A marketing team wants to run targeted ad campaigns but doesn’t know how to group their diverse customers.
What you will do: Using Unsupervised Machine Learning (like K-Means Clustering), you will group customers based on their purchasing behavior, age, and income. This project is a staple in our data science training in Noida because it solves a core business marketing problem.
4. Recommendation System
The Problem: How does Netflix know what movie you want to watch next? How does Amazon suggest products?
What you will do: You will build your very own recommendation engine using collaborative filtering and content-based filtering. It is a fantastic project that recruiters absolutely love to see on a resume.
5. Stock Market Prediction
The Problem: Investors want to predict the stock price of a company for the next week.
What you will do: You will pull live financial data and use advanced regression algorithms and LSTM neural networks to predict stock price movements. This project proves your capability to handle volatile, real-world numerical data.
6. HR Analytics Dashboard
The Problem: A company is losing employees and wants to understand why people are resigning.
What you will do: You will step into the shoes of a Data Analyst. You will clean HR data and build a beautiful, interactive dashboard (using Power BI or Tableau) to visualize attrition rates, salary discrepancies, and employee satisfaction scores.
Completing these six projects at our data science institute in Noida guarantees that you have the practical experience required to pass any technical interview.
100% Placement Support: Your Dream Job Awaits
We understand that the ultimate goal of taking a data science course in Noida is to secure a high-paying job. That is why we are famous for our data science course in Noida with placement track record.
At Appwars Technologies, our dedicated placement cell works tirelessly to bridge the gap between our students and top MNCs. Here is how our data science training in Noida gets you hired:
Resume Building: We don’t just leave you with a generic resume. We help you craft an ATS-friendly (Applicant Tracking System) resume highlighting your Python for Data Science skills and the 6 mega projects you built.
Mock Interviews: You will face technical and HR mock interviews conducted by industry experts. They will grill you on statistics, machine learning, and coding, ensuring you never freeze up in a real interview.
LinkedIn Profile Optimization: In 2026, recruiters live on LinkedIn. We teach you how to optimize your profile so HRs reach out to you.
Guaranteed Interview Calls: Because we are the best data science training institute in Noida, we have tie-ups with hundreds of tech companies, startups, and MNCs in the Delhi-NCR region. We arrange direct interview opportunities for our certified students.
When you enroll in our data science institute in Noida, you are not just buying a course; you are investing in a career transformation.
Our Process

Data Science with Gen AI Course Fees
- 15 Students Per Batch
- Live offline & online Classes from Industry Expert
- Hands-on curriculum with Real-Life Projects
- 15 Students Per Batch
- Live offline & online Classes from Industry Expert
- Hands-on curriculum with Real-Life Projects
Got more questions?
Talk to our team directly
Contact us and our academic counsellor will get in touch with you shortly
Student Testimonials
EXCELLENT Based on 1044 reviews Posted on Google Madhav sengarTrustindex verifies that the original source of the review is Google. Attended a webinar with Aditya Kumar Panday Sir on Power BI. It is very useful. There is a great experience of attending the webinar. The course has both basic to advance structure.Posted on Google Lokesh RanaTrustindex verifies that the original source of the review is Google. Helpfull seminar by Aditya kumar pandey sir👍Posted on Google MuskanTrustindex verifies that the original source of the review is Google. Session is very expensive by Aditya sirPosted on Google Deep shikhaTrustindex verifies that the original source of the review is Google. This session is very use full for me thank you so much Aditya sir for giving your valuable time and fantastic guidancePosted on Google Kratika RaghavTrustindex verifies that the original source of the review is Google. The workshop was clear, engaging, and easy to follow. The trainer explained Power BI concepts very well with practical examples. Overall, a great learning experience! instructor: Aditya KumarPosted on Google Anshika GuptaTrustindex verifies that the original source of the review is Google. I had a great learning experience with the Data Analytics course at AppWars Technology. The course is well-structured and covers both the fundamentals and practical concepts in a very easy-to-understand way. Thanku Aditya sirPosted on Google Evaan sheikhTrustindex verifies that the original source of the review is Google. Aditya sir is absolutely best at teaching everything is clearPosted on Google Khushi SharmaTrustindex verifies that the original source of the review is Google. The session on Power BI by Aditya Sir was very informative and interesting. I learned about data visualization, dashboards, reports, and how Power BI can be used to analyze data effectively. Sir explained everything in a simple and easy-to-understand way. Overall, it was a great learning experience, and I gained valuable knowledge from the session.Posted on Google Kritika SinghTrustindex verifies that the original source of the review is Google. The session was good .The instructor Aditya Kumar explained difficult data concepts in simple language.Posted on Google Tanish AdhanaTrustindex verifies that the original source of the review is Google. good session . thankyou aditya sirVerified by TrustindexTrustindex verified badge is the Universal Symbol of Trust. Only the greatest companies can get the verified badge who has a review score above 4.5, based on customer reviews over the past 12 months. Read more





