Learn data science from highly-qualified mentors and earn a professional certification from one of the most trusted institutes in India. WsCube Tech offers the best data science course in Indore, introducing you to the dynamic field of data analysis. While pursuing the course, you work on several hands-on projects, acquire practical skills, get round-the-clock support, and interact with industry practitioners.
Our experts have curated extensive courses that cover technologies such as Python, R, Tableau, Machine Learning, Spark, and more. Join the leading data science training institute in Indore now and improve your technical and non-technical skills.
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Aspirants Mentored
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Industry Mentors
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₹5 LPAAverage salary
Who can apply for the course?
Data Science offers ample professional opportunities worldwide. The subject focuses on extracting information from the massive dataset for actionable insights. It can be any data stored over the internet, from a person’s preferences and contact details to social media activities and whatnot.
Companies collect this raw data and add it to their data lake. However, they need a professional data scientist to structure and process unstructured data. Hence, it is no surprise that the demand for proficient data scientists has witnessed a great surge in the job market. However, there is a limited supply of skilled data scientists and our data science courses in Indore bridge that gap.
WsCube Tech is known for offering the most comprehensive and best data science course in Indore to learners from different walks of life. Our experienced mentors have curated an extensive curriculum that covers every topic from scratch.
Whether you are a freelancer, beginner, or working professional, our syllabus aligns with different learning goals. From data analysis and artificial intelligence to machine learning and more, our mentors cover every topic in detail during virtual and in-class training. You will also acquire essential data science skills, such as data collection, integration, extraction, statistical analysis, data mining, predictive analysis, and more.
Upon completing our data science training in Indore, you will receive a professional certificate from WsCube Tech, which is trusted by various leading companies. You will also get job assistance and the necessary professional guidance to kickstart a thriving career.
Data Science offers ample professional opportunities worldwide. The subject focuses on extracting information from the massive dataset for actionable insights. It can be any data stored over the internet, from a person’s preferences and contact details to social media activities and whatnot.
Companies collect this raw data and add it to
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Highlights of Data Science Course in Indore
Highlighting the Best Course Features.
Career Launch Countdown
Prepare to launch your career into the stratosphere with our intensive 7-day last-mile prep.
This comprehensive program offers placement assistance and interviews with top hiring managers.
Boost your employment prospects and exclusive referrals aimed at career readiness.
Guided by the Geeks
Thrive under the mentorship of seasoned industry mentors who impart their vast knowledge and insights. Each session is crafted to help you navigate the complexities, boosting your confidence as you master the craft. Incorporate advanced techniques and strategies from industry gurus keen to share their hidden formulas for excellence.
Project & Scenario-Based Curriculum
Step into engaging, hands-on sessions where learning meets real-world application. This program is crafted to enhance problem-solving skills by immersing you in projects that reflect real-world security challenges.
Integrate theoretical knowledge with practical execution, refining your skills through active participation and collaboration.
Simulate real-world complexities by engaging through practical, hands-on mitigation.
Cohort-Based Learning
Immerse yourself in a collaborative, cohort-based learning environment, prioritizing hands-on problem-solving abilities. Enhance your skills within a community that flourishes through shared growth.
Participate in projects and discussions that tackle real-world challenges, boosting your problem-solving skills with collaborative insights.
Take advantage of a strong support network where peers inspire each other, fostering a spirit of growth and shared achievements.
How Does This Data Science Course in Indore Work?
LearnOffline Classes
Upskill yourself by gaining insights from leading professionals' vast experience.
Practice
Sharpen your skills by learning through course assignments, live projects, and regular assessments and quizzes.
Ask
Resolve your queries from industry experts with our dedicated 1:1 doubt-clearing sessions.
Build
Craft a diverse portfolio and appealing resume, and optimize LinkedIn to showcase your data analytics skills.
Curriculum of Data Science Training in Indore
A detailed overview of the course, including key topics, objectives, and module sequence.
Duration
5 Months
Mode
Offline
Live Sessions
120+ hrs
Projects
14+
Placement Support
Milestone 1 - Duration: 4 weeks
Build strong programming and database fundamentals through Python, pandas, and SQL. Learn how to clean, query, transform, and prepare real datasets like a true data professional.
Build a Python tool that reads customer purchase data from a CSV/Excel file and provides quick insights using pandas.
Swiggy Orders Analysis
Swiggy seeks insights from its SQL dataset. Implement sophisticated SQL queries with intricate joins for in-depth analysis and strategic decision-making.
Project:
Apollo Hospitals Patient Flow SQL Lab
Milestone 2 - Duration: 2 weeks
Online data science course helping you master the art of cleaning messy data, exploring patterns, and extracting insights. Use Python visualizations & BI dashboards to tell compelling data stories.
Week 1
Data Cleaning & Preprocessing
Handling missing values
Identifying and removing duplicates
Detecting and treating outliers
Converting data types correctly
Working with dates and times
Creating derived features
Week 2
Python Visualization & EDA
Performing univariate analysis
Exploring relationships between variables
Creating histograms and boxplots
Building bar and line charts
Using pair plots for multivariate views
Applying visualization best practices
Case Study
Zomato Order Quality Insights
As a data analyst at Zomato, work with raw order and delivery data to improve data quality and build reliable features for downstream analytics.
Project:
JioHotstar Exploratory Data Analysis (EDA)
Milestone 3 - Duration: 5 weeks
Learn the core statistical thinking behind real-world ML problems. Build, evaluate, and refine regression and classification models used across industries.
Week 1
Descriptive Statistics & Distributions
Calculating mean, median and mode
Measuring spread with variance and standard deviation
Understanding quantiles and percentiles
Recognizing the normal distribution
Interpreting correlation between variables
Week 2
Probability & Hypothesis Testing
Learning basic probability rules
Understanding sampling and sample size
Building confidence intervals
Running t‑tests and chi‑square tests
Interpreting p‑values
Framing and analyzing A/B tests
Week 3
ML Foundations & Regression
Understanding supervised learning concepts
Splitting data into train and test sets
Applying cross‑validation
Building linear regression models
Scaling features where required
Evaluating models with regression metrics
Week 4
Regularization & Regression Refinement
Understanding overfitting and underfitting
Applying Ridge regression
Applying Lasso and elastic net
Handling multicollinearity
Using learning curves for diagnostics
Week 5
Classification Basics
Introducing classification problems
Building logistic regression models
Using k‑Nearest Neighbors (k‑NN)
Training decision trees
Evaluating with accuracy, precision and recall
Using F1‑score and ROC‑AUC
Understanding Time Series Analysis (Basics)
Case Study
Amazon Homepage Experiment:
As a data scientist at Amazon, evaluate an A/B test on a new homepage layout aimed at increasing conversion rate.
Swiggy Order Churn Classifier
As a data scientist at Swiggy, build a model to classify whether a customer is likely to stop ordering on the platform.
Project:
Spotify Listener Stats Summary
Uber Fare Prediction Model
Milestone 4 - Duration: 5 weeks
Level up with ensemble methods, clustering, PCA, and text-intelligence foundations.
Choose between NLP or Deep Learning to build more advanced AI-driven systems.
Week 1
Tree Ensembles & Feature Engineering
Understanding ensemble learning
Training random forest models
Using gradient boosting methods
Interpreting feature importance
Encoding categorical variables
Building pipelines for preprocessing + modeling
Week 2
Unsupervised Learning
Introducing clustering problems
Applying k‑means clustering
Choosing k and reading silhouette scores
Understanding high‑dimensional data
Reducing dimensions with PCA
Interpreting explained variance
Week 3
Deep Learning or NLP Track
Understanding neural network building blocks
Learning activation and loss functions
Grasping gradient descent and backpropagation
Cleaning and tokenizing text (NLP track)
Representing text with TF‑IDF
Building simple text classification models
Week 4
Hyperparameter Tuning & Experimentation
Understanding hyperparameters vs parameters
Running grid search for tuning
Using random search for efficiency
Reading validation curves
Applying early stopping to prevent overfitting
Tracking experiments and results
Week 5
Model Evaluation & Interpretability
Performing detailed error analysis
Checking model calibration
Interpreting feature importance outputs
Using partial dependence ideas
Introducing fairness and bias concepts
Case Study
Myntra Product Return Risk Model
As a data scientist at Myntra, build an ensemble model to predict the likelihood of a product being returned after purchase.
MakeMyTrip Review Classifier
As an applied ML engineer at MakeMyTrip, build a neural‑network‑based system to classify hotel reviews as positive or negative.
ICICI Bank Loan Fairness Audit
As a data scientist at ICICI Bank, review an existing loan‑approval model to ensure it is both accurate and fair.
Project:
Netflix Content Recommender & View Forecasting
Mercado Livre E‑commerce Delivery Tuning Lab
Milestone 5
A capstone project where learners solve a real business problem using data, analytics, and selective AI assistance.
You will work on an end-to-end data science use case, from understanding the problem to analyzing data, building models, and generating insights that support business decisions.
AI tools may be used to assist analysis, improve efficiency, and enhance insights, similar to how data teams work in modern organizations.
Business Problem & Data Understanding
Identify a real-world business problem and understand the data available to solve it.
Use data exploration and AI-assisted questioning to define objectives, success metrics, and scope.
Data Extraction & Preparation
Work with structured datasets using SQL and Python.
Clean, transform, and prepare data for analysis and modeling.
Exploratory Analysis & Insights
Perform exploratory data analysis to uncover trends, anomalies, and relationships.
Use visualizations, statistics, and AI-assisted summaries to highlight key insights.
Model Building & Evaluation
Apply machine learning techniques to address the business problem.
Train, evaluate, and compare models using appropriate metrics, with AI support for experimentation and tuning.
Insights, Decisions & Recommendations
Translate analysis and model outputs into clear business insights.
Use AI tools to help structure recommendations and explain results in business language.
Final Presentation
Present the complete solution, approach, and outcomes.
Demonstrate both analytical thinking and responsible use of AI in decision-making.
Milestone 6 - Duration: 4 weeks
Our Online Data Science Course includes a 4-week immersive internship where you work as a intern at WsCube Tech on real business challenges. Gain hands-on experience in data science, visualization, and reporting across multiple departments. Experience the real workflows of modern data teams while contributing to decision-driving projects.
Week 1
Data Collection & Python Foundations
Work with real business data using Python from day one
Clean, organize, and preprocess raw datasets using Pandas & NumPy
Write efficient SQL queries to extract and filter business data
Understand how data pipelines flow within an organization
Week 2
Statistical Analysis & Reporting
Apply statistical concepts to real company datasets
Identify trends, distributions, patterns, and anomalies
Perform hypothesis testing and correlation analysis on business data
Prepare structured analytical reports for team leads and stakeholders
Week 3
Supervised & Unsupervised ML Modelling
Build predictive models (regression, classification) on real business problems
Apply clustering and dimensionality reduction for customer/market segmentation
Evaluate and tune models for accuracy, precision, and business relevance
Translate model outputs into clear, actionable insights for non-technical audiences
Week 4
Insights & Stakeholder Presentation
Consolidate work from all previous weeks into a cohesive data science project
Craft a data-driven business narrative backed by statistical and ML findings
Present solutions and recommendations to WsCube Tech stakeholders
Demonstrate analytical thinking, Python/SQL proficiency, and communication skills
Bonus
BI Dashboards & Storytelling
Understanding measures vs dimensions
Defining business KPIs
Designing data models for BI tools
Adding slicers and interactive filters
Building executive‑ready dashboards
Data Pipelines & ETL
Understanding ETL vs ELT workflows
Ingesting data from files, APIs and databases
Designing end‑to‑end data workflows
Adding validation checks in pipelines
Implementing logging and basic monitoring
Databases, Warehousing & Big Data
Understanding database design
Schemas – Star & Snowflake
Understanding OLTP vs OLAP
Introducing data warehousing concepts
Getting an overview of Hadoop and Spark
Model Serving & APIs
Learning REST API fundamentals
Serializing and saving ML models
Designing batch inference workflows
Designing real‑time inference workflows
Considering basic security for ML APIs
Data Apps & Model Monitoring
Building interactive apps around models
Designing prediction input forms and outputs
Combining visualizations with model results
Tracking model performance over time
Advanced Topics & Electives
Understanding time series forecasting - advanced
Learning recommendation system approaches
Exploring advanced NLP tasks
Introducing modern language models
Data Ethics, Governance & Privacy
Recognizing different types of model bias
Evaluating fairness in ML decisions
Improving interpretability of models
Understanding data privacy regulations (GDPR/CCPA)
Learning core data governance principles
Generative AI & Large Language Models
Understanding how large language models work
Learning effective prompt engineering techniques
Knowing when and how to fine‑tune models
Introducing RAG (Retrieval‑Augmented Generation)
Applying ethical and responsible GenAI practices
Last Mile Prep
Comprehensive Career Support to Help You Shine.
Resume Revamp
Upgrade and polish resumes to make them stand out to potential employers.
LinkedIn Optimization
Optimize LinkedIn profiles to improve visibility and networking opportunities.
GitHub Mastery
Enhance GitHub profiles to showcase your projects and collaboration skills.
Portfolio Building
Develop & refine a professional portfolio to demonstrate skills & projects.
Pitch Perfect
Improve verbal communication and presentation skills.
Job Ready
Climb the ladder that leads you to your dream job.
Pitch Perfect
Improve verbal communication and presentation skills.
Job Ready
Climb the ladder that leads you to your dream job.
Resume Revamp
Upgrade and polish resumes to make them stand out to potential employers.
LinkedIn Optimization
Optimize LinkedIn profiles to improve visibility and networking opportunities.
GitHub Mastery
Enhance GitHub profiles to showcase your projects and collaboration skills.
Portfolio Building
Develop & refine a professional portfolio to demonstrate skills & projects.
Pitch Perfect
Improve verbal communication and presentation skills.
Job Ready
Climb the ladder that leads you to your dream job.
Resume Revamp
Upgrade and polish resumes to make them stand out to potential employers.
LinkedIn Optimization
Optimize LinkedIn profiles to improve visibility and networking opportunities.
GitHub Mastery
Enhance GitHub profiles to showcase your projects and collaboration skills.
Portfolio Building
Develop & refine a professional portfolio to demonstrate skills & projects.
Pitch Perfect
Improve verbal communication and presentation skills.
Job Ready
Climb the ladder that leads you to your dream job.
Be in the spotlight by getting certified!
Industry-Recognized Certificate
Earn a certificate valued by top companies.
Stand Out in Job Market
Fortify your profile to increase credibility.
Your Passport to Career Growth
Access well-paying positions in your field.
Your Passport to Career Growth
Access well-paying positions in your field.
Industry-Recognized Certificate
Earn a certificate valued by top companies.
Stand Out in Job Market
Fortify your profile to increase credibility.
Your Passport to Career Growth
Access well-paying positions in your field.
Industry-Recognized Certificate
Earn a certificate valued by top companies.
Stand Out in Job Market
Fortify your profile to increase credibility.
Your Passport to Career Growth
Access well-paying positions in your field.
Our learners work at top companies
Fee structure of this program
Total Program Fee:
₹27,700/-
₹17,699/-
Live instruction from Industry Veterans
Official certification in Human Resources
Vibrant community just like a College Campus
Hand-on curriculum with Real-Life Projects
Meet Your Mentors
Learn directly from the experts & industry stalwarts.
Kushagra Bhatia
Founder
Ayushi Jain
Lead Data Analyst
Bhawani Singh
Data Analyst Trainer
Still Confused? Want to know more?
Secure your spot quickly, seats are filling fast!
Don’t miss out—enroll now and take the first step towards transforming your career!
WSCUBE TECH GRADUATES HAVE BEEN HIRED BY
See what learners are saying
Hear From Our Alumni
Anshika
Sujal
Monika
Lilima
Jayshree Basak
There are many online data science courses with certificate, but this is the best. WsCube delivers what it commits. Regular live classes, experienced mentor, doubt-clearing sessions, regular assignments and practice, and quality content. Great job.
Sneha Pandey
The best thing about this course is that it has the most detailed and comprehensive content. Many topics that are ignored by others are included here. Moreover, a person with any level of skills can go for it as it starts with Python and goes deeper into machine learning, data analytics, and deep learning. Kudos WsCube Tech!
Kaushik Bardiya
Great content, training, and instructor! All the modules of the course are covered in detail with regular assignments and practice. I highly recommend it to anyone who wants to build a career in data science in India or abroad. Without any doubt, this is one of the best data science courses in Hindi.
Jaideep Shinde
Simply awesome experience! This is one of the best online data science courses in India. The approach was good right from the beginning till the end. The mentor was way better than I had expected and helped me clear all the important concepts. Thanks a lot!
Kaushik Bardiya
Great content, training, and instructor! All the modules of the course are covered in detail with regular assignments and practice. I highly recommend it to anyone who wants to build a career in data science in India or abroad. Without any doubt, this is one of the best data science courses in Hindi.
Jaideep Shinde
Simply awesome experience! This is one of the best online data science courses in India. The approach was good right from the beginning till the end. The mentor was way better than I had expected and helped me clear all the important concepts. Thanks a lot!
Jayshree Basak
There are many online data science courses with certificate, but this is the best. WsCube delivers what it commits. Regular live classes, experienced mentor, doubt-clearing sessions, regular assignments and practice, and quality content. Great job.
Sneha Pandey
The best thing about this course is that it has the most detailed and comprehensive content. Many topics that are ignored by others are included here. Moreover, a person with any level of skills can go for it as it starts with Python and goes deeper into machine learning, data analytics, and deep learning. Kudos WsCube Tech!
Kaushik Bardiya
Great content, training, and instructor! All the modules of the course are covered in detail with regular assignments and practice. I highly recommend it to anyone who wants to build a career in data science in India or abroad. Without any doubt, this is one of the best data science courses in Hindi.
Jaideep Shinde
Simply awesome experience! This is one of the best online data science courses in India. The approach was good right from the beginning till the end. The mentor was way better than I had expected and helped me clear all the important concepts. Thanks a lot!
Jayshree Basak
There are many online data science courses with certificate, but this is the best. WsCube delivers what it commits. Regular live classes, experienced mentor, doubt-clearing sessions, regular assignments and practice, and quality content. Great job.
Sneha Pandey
The best thing about this course is that it has the most detailed and comprehensive content. Many topics that are ignored by others are included here. Moreover, a person with any level of skills can go for it as it starts with Python and goes deeper into machine learning, data analytics, and deep learning. Kudos WsCube Tech!
Kaushik Bardiya
Great content, training, and instructor! All the modules of the course are covered in detail with regular assignments and practice. I highly recommend it to anyone who wants to build a career in data science in India or abroad. Without any doubt, this is one of the best data science courses in Hindi.
Jaideep Shinde
Simply awesome experience! This is one of the best online data science courses in India. The approach was good right from the beginning till the end. The mentor was way better than I had expected and helped me clear all the important concepts. Thanks a lot!
Placement Report 2025-26
Get the complete report to explore all program outcomes.
90%
Median Hike
280+
Students Placed
₹18 LPA
Highest Package
FAQs About Data Science Course in Indore
Here’s everything you may ask.
Data Science is applied across most industries and is considered one of the most sought-after skills in the IT sector. It combines statistics, data analysis, scientific methods, artificial intelligence, and machine learning. The purpose of the field is to seek value from heaps of data collected from different sources.
A professional data scientist collects a large amount of data, gets insights, and analyzes it. They apply their analytical and technical skills to provide solutions to several business challenges.
They are responsible for finding valuable insights by analyzing massive datasets. So, their core tasks are to cleanse, aggregate, manipulate, and study data to help make data-driven decisions.
As an accomplished and skilled data scientist, you can apply for the following job roles:
Data Architect and Administrator
Data Mining Engineer
Data Analyst
Data Scientist
Team Lead- Data Engineer
Machine Learning Engineer
Business Analyst
Marketing Analyst
Statistician and Mathematician
You don’t need any specific academic degree or professional experience to sign up for our data science training in Indore. Freelancers, business owners, graduates, freshers, and working professionals from any field are welcome to join our community.
Our data science course covers all areas and aspects of the field, including:
Part-I: Python
PART-II: Data Analysis With Statistics And Visualization
Part-III: Machine Learning
Part-IV: Deep Learning, AI, Neural Network
Data science is surely a promising career option and will offer ample opportunities in the coming years. This versatile field allows you to work across multiple industries, such as finance, education, healthcare, information technology, and more. Moreover, it offers several secure and high-paying job vacancies, which you can select based on your interest and expertise.
The average salary of a beginner-level data scientist is ₹8 LPA, and with years of experience and expertise in the field, you can make around ₹35 LPA and more.
Our data science course spans 6 months.
Coding or programming is not a necessary skill to enrol in our data science courses in Indore. Having basic technical knowledge may be beneficial, but it doesn’t define your efficiency or learning capabilities.
The fee for our data scientist course in Indore is 5 months, which includes hands-on projects and job assistance.