Web D
Online Data Science Course
A complete course that covers all of the basics to the advanced level.
Why #Web D School?
We're committed to helping every student build a meaningful, successful career. We don’t just teach — we walk with you every step of the way, from your first design to your first job.
0+
Years of Excellence
0+
Students Trained
0+
Hiring Partners
0+
Students Learning Today
Enquire Now
Online Certification
Online Data Science Course
Data Science Course = Excellent career choice
Data science is a new and popular profession with several employment options for recent grads.
Data science is a branch of computer science that combines programming, statistics, and business intelligence with subjects such as machine learning, artificial intelligence, and business analytics to extract useful information from massive volumes of data.
Data scientists are in great demand because they can apply their abilities in various industries, including healthcare, finance, retail, education, and many more. The need for data scientists has increased by 31% each year over the previous decade. In India, their typical compensation ranges from 6 to 10 lacs per year, depending on location and company size.
If you have robust Data Science abilities, you may acquire jobs such as Data Analyst, Business Intelligence Analyst, Data Visualizer, and so on.
Data science is one of the top five jobs that young people globally wish to study, and it will only grow in popularity in the coming years.
Master Data Science with the Best
Why Learn Online Data Science Course at Web D School?
Learn from industry experts with a hands-on curriculum, real-time projects, and personalized mentorship. We prepare you not just to learn data science, but to launch a successful career in it.
Trainers with Industry Experience
All our instructors have real-time experience working in reputable organizations and a thorough knowledge of the Data Science domain.
Limited Batch Size
We limit our Online Data Science course to 6 students every batch so that we can give individual attention to each one.
Frills-Free Syllabus
Unlike other institutes that attempt to attract students with fancy terminology and unnecessary topics, we only teach what a student needs to know to enter the Data Science field.
Projects Based Training (SOAP)
We provide our online Data science course students a lot of tasks and assignments using a SOAP system (Student Output Assessment Plan) and give them valuable feedback.
Lively & Interactive Classes
Because our batch sizes are small, the classes will be highly interactive; with our data science course, students are encouraged to ask any number of questions during the session.
Recorded Sessions
All sessions would be recorded and shared with students so they could watch and learn from them afterward.
Placement Support
We have a professional placement team that assists all our students in their placement journey, from resume creation to finding a good job.
Master the Science of Data
What you will learn?
Few things to know before joining our Data science online training program.
Data science
Data science is an umbrella term that incorporates, among other things, data analytics, data mining, and machine learning. A data scientist is an expert who captures, analyses, and interprets massive amounts of data. Data scientists often deal with uncertainty by predicting the future using advanced data tools.
Data analyst
Data Analytics is a subset of Data Science. A data analyst uses data to discover critical insights about a company's consumers and to devise problem-solving methods. Data analysts frequently employ structured information to address actual business issues by utilizing technologies such as SQL, R, or Python programming languages, data visualization applications, and statistical analysis.
Data visualization
A subfield of data science is data visualization. The pictorial depiction of data and information is known as data visualization. Data visualization tools use visual components such as charts, graphs, and maps to make it simple to identify and comprehend trends, outliers, and patterns in data. Tableau, Power BI, and Excel are three of the most popular data visualization tools.
Python
Python is an essential tool in the data analyst's toolbox because it is well-suited for conducting repeated operations and data manipulation, and anybody who has worked with large amounts of data understands how frequently repetition occurs. Once you've grasped the foundations of Python, you should look into libraries like NumPy, Pandas, and Matplotlib, which aid the data analyst in carrying out their obligations. Tensorflow, Keras, and Theano are just a few of the Python packages that may assist data scientists in developing deep learning algorithms.
Mathematics & Statistics
Math and statistics are essential for Data Science since they are the foundation for all machine learning algorithms. Data scientists use statistics to collect, assess, analyze, and derive conclusions from data and apply appropriate quantitative mathematical models and variables. The use of linear algebra enables the efficient completion of various critical computations.
Machine learning
Machine learning examines and assesses enormous volumes of data automatically. It automates data processing and delivers predictions in real-time without the need for human interaction. A Data Model is created automatically and then trained to produce real-time predictions.
SQL
SQL (Structured Query Language) is a computer language used in relational databases to query and manage data. SQL performs a variety of actions on database-stored data, such as updating and deleting entries, creating and modifying tables and views, and so on.
Deep Learning
Deep learning is an essential part of data science, along with statistics and predictive modeling. Deep learning is a subset of machine learning that allows a computer to do human-like tasks such as speech recognition, image identification, and prediction. It increases the ability to classify, identify, detect, and define data-driven objects.
Artificial Intelligence
The core objective of Artificial Intelligence is to use computers to replicate human intelligence so that machines can make intelligent decisions in difficult situations. Machine Learning is a Supervised type of Artificial Intelligence and Data Science together, whereas Artificial Intelligence is a tool for Data Science.
Trusted by Leading Companies
Placement Record
Showcasing the top companies where our students have been successfully placed.
+ More Other Companies
Expansive Concepts
Data Science Course Syllabus
Explore the complete curriculum and know exactly what you'll master.
Expansive Concepts
Data Science syllabus covers expansive concepts.
Turn numbers into insights! Master data analysis, prediction models, and visualization to solve real-world challenges.
- What is Data Science
- What is Machine Learning
- What is Deep Learning
- What is AI?
- Data Analytics and its types
- Why python?
- Installation and google colab setup
- Understanding various python notebooks like jupyter,spider.
- Variables and data types: numbers, Boolean and strings
- Operators
- Conditional statements
- Functions
- Sequences
- Files and Classes
- Object oriented programming
- Inheritance
- Numpy
- Pandas
- Matplotlib
- Seaborn
- Types of statistics
- Descriptive statistics
- Types of data
- Population and sample
- Mean, median, mode
- Regression
- Variability
- R-squared
- Correlation
- Covariance
- Distribution
- Normal distribution
- Standard normal distribution
- Central limit theorem
- Standard error
- Confidence intervals
- Z-score
- Margin of errors
- Hypothesis Testing
- Vectors
- Matrix
- Basic probability
- Computing expected values
- Events
- Combinatorics
- Factorials
- Bayesian inference
- Sets and Events
- Probability distributions
- Discrete distributions
- Applications of probability in statistics
- Applications of probability in Data Science
- Handling missing values
- Encoding categorical data
- Split the dataset
- Feature scaling
- Feature Engineering
- Data Visualization - PowerBi (Basic to Advanced)
- Different chart types
- Introduction to ML
- Types of AI
- Stages of ML projects
- Types of ML algorithms
- Simple linear regression
- Multi linear regression
- Model Evaluation
- Project : Kaggle bike demand prediction
- Logistics Regression
- Bagging and Boosting
- SVM
- KNN
- Decision Trees
- Random Forest
- XG Boost Classifier
- Naive Bayes
- Model Evaluation
- Project : open Kaggle Competition Project
- K means Cluster
- Hierarchical Clustering
- Model Evaluation
- parameter Tunning
- Model Visualization
- Introduction to Time Series Data
- Time Series Forecasting Methods
- Introduction to NLP
- Text Preprocessing
- Bag of Words Model
- TF-IDF Model
- Sentiment Analysis
- NLP Applications (Chatbots, Text Summarization, Language Translation)
- Hyperparameter Optimization
- Grid Search
- Random Grid Search
- Bayesian Optimization
- Content-based filtering
- Collaborative based filtering
- Market basket Analysis
- SQL
- Tensor flow and Keras
- Deep learning frame work
- CNN and RNN
- Creating RestFul API with Flask
- Postman / ARC Chrome
Software You'll Master
Tools Covered
Master industry-standard tools that power professional design, development, and marketing workflows.
-
Microsoft Excel
-
Git
-
Jupyter
-
Matplotlib
-
Numpy
-
Pandas
-
Python
-
Scipy
-
Seaborn
-
SQL
-
Tensor Flow
Web D School partnering with Linkedin Learning
Stand out to Recruiters!
Access a vast library of premium Linkedin Learning courses to complement your classroom training with cutting-edge content. Earn certifications from Linkedin, a globally trusted platform, adding credibility to your profile and boosting employability.
21,000+
Online Courses
A vast library of courses across diverse domains.
Adobe & Microsoft
Certificates
Globally recognized certifications to boost your professional credibility.
GitHub
Codespace Access
Enhance your coding skills with cloud-based development tools.
Personalised
Learning Path
A tailored learning path designed for career goals.
From Classroom to Career
Placement related support @ Web D School
We offer dedicated placement assistance including resume building, mock interviews, and job referrals to help our students launch successful careers
Portfolio Creation
Build A Portfolio That Gets You Hired
Your portfolio is your strongest asset in landing your dream job. At Web D School, we ensure that:
- You gain real-world experience through industry-relevant projects.
- Unlimited lab hours to refine your skills.
- Our mentors provide end-to-end support to help you build a job-winning portfolio.
Soft Skills Training
Master the Skills That Matter
Technical skills alone aren’t enough—you need confidence, communication, and collaboration skills to thrive in the industry.
Our soft skills training ensures that:
- You are job-ready with the ability to impress employers beyond just your technical expertise.
- Improve confidence & professional communication.
- Develop teamwork & leadership skills.
Resume Building
Stand Out in the Job Market
Make the first impression as the best impression with a well-crafted resume, our placement support will make sure it's a powerful one.
Our expert-led resume workshop ensure that:
- By making your resume highlight your strengths and grab recruiters’ attention.
- By Sharing Professional resume templates & optimization
- By providing LinkedIn & Personal Branding guidance.
Mock Interviews
Get Interview-Ready with Confidence
Nervous about job interviews? We prepare you with real-world mock interviews so you can tackle every question with ease.
Our interview training sessions simulate actual hiring scenarios to boost your confidence.
- One-on-one and panel interview simulations
- Personalized feedback to improve your answers
- Multiple rounds of practice with industry mentors
Placement Coordination
Your Success is Our Priority
We don’t just train you, help you get hired. Our placement team connects you with leading companies across industries and ensures you’re prepared for every stage of the hiring process.
- Tailored interview preparation for top employers
- Direct connections with recruiters & industry experts
- Continuous support until you land your dream job
Best in the industry
Fees & Course Tracks
Weekday Track
-
5-Months
Course Duration
-
90 Minutes
Session Duration
-
Part-Time
Alternative Days
-
60 Sessions
Total Session Days
Weekend Track
-
3-Months
Course Duration
-
180 Minutes
Session Duration
-
Part-Time
Twice a week
-
30 Sessions
Total Session Days
Fee Details
(Incl 18% GST)
/ Lumpsum Fees
₹68,440
/ Installment Fees
₹76,700
*Terms & Condition
Testimonials
What our Students Say!
Hear from our students as they share their learning experiences and career growth. Real stories, real impact—from beginners to professionals.
Kaushik N
Data Science
★★★★★
I genuinely loved the data science course offered here. The course was very helpful for someone like myself who wanted to transition to data science from a non-IT domain. The syllabus was well-tailored and covered everything from basic all the way till advanced topics. The instructors were very knowledgeable and made the classes more engaging.
Priya
Data Science
★★★★★
Coming from a non-technical background, I was initially intimidated by Data Science. But this course made everything approachable and easy to understand. The hands-on projects and real-world examples gave me the confidence to apply for jobs in the field.
Rahul
Data Science
★★★★★
The instructors were incredibly supportive and knowledgeable. They didn’t just teach the tools—they helped us understand the 'why' behind every concept. This course truly built a strong foundation for my career in data science.
Jenifer
Data Science
★★★★★
I was looking for a career shift and this course delivered beyond my expectations. The combination of theory, assignments, and case studies was spot on. I landed my first role as a Data Analyst right after completing the program.
Enroll Now!
New Batch Starting Soon!
Don't miss out — our next batch kicks off this week. Secure your spot before it's gone!
Learn how to get started
Frequently asked questions
Web D School’s one-stop answer hub for course info, career paths, and certifications.
Data science has great potential in almost every field in India, from banking and cyber security to education, healthcare, and even small businesses. Since Data science is a very popular career choice with guaranteed large salaries, you must have a high level of education and excellent skills.
A college graduate with good communication and analytical abilities is required. One of the essential Data Science qualifications is a strong understanding of mathematical concepts.
An entry-level Data Scientist's income can range from 3L to 8L per year, depending on the student's talents and the company's compensation structure.
We talk to students who want to take a Data science course to find out what motivates them in this field. Math is integral to Data Science, so we expect the student to be good at it. One would also need a background in technical education and good communication skills.
We have taught students for more than seven years and have trained more than 2,500 people. All of our trainers have at least five years of experience in the field. We give our students many academic tasks as part of a teaching method called SOAP (Student Output Assessment Plan). We have a End-to-End Placement Support.
Please call +91 97913 33350 to talk to our academic counselor about fees. We don't give refunds because we limit the number of students in a batch, and it would be impractical to let a student drop out of such a small batch.
All of our sessions (both online and in-person classes) are recorded, and you'll get a recording of each session to help you learn or look back on.
Our Data science instructors have a minimum of five years of professional experience. Their real-time project experience would greatly help their students because they could share more in-depth knowledge. All our Data science trainers are requested to be friendly with their students and help them as much as they need until they finish the course.
We only give demo classes to students who want to take online courses. The duration of the demo lessons will be between 30 and 45 minutes.
We create tasks that are a lot like real-time projects and would give our Data science students the same professional experience. Our trainers have real-world experience, so students who train with them will learn a lot.
We offer End-to-End Placement Support but make no guarantees on placement. Because placements depend on students' discipline and ability, it is impossible to guarantee placements.
