Master Data Science by learning through experts, working on industry projects and rigorous interview preparation.
Become a full-stack data scientist by learning each aspect of the data science ecosystem.
Take advantage of the comprehensive learning experience by interacting with peers and team projects
All the Students have been successfully placed in Top Companies
On average, a bootcamp student saw an increase of 250% salary jump.
More than 100 companies have participated in Analytics Vidhya’s hiring drives
As a fresher in the data science field, I was always sceptical of how I would be able to work in a data science company. The Data Science Bootcamp proved me wrong with their methodical and structured training. As a result, I managed to get placed in Fractal Analytics within one month of joining Bootcamp. We had great mentors & instructors who made sure every concept was understood well. Thank you Analytics Vidhya for helping me kickstart my data science career.
I had a great learning experience during my internship at Analytics Vidhya. The Data Science Bootcamp covered a lot of important concepts & topics. The structure was clear, logical and effective. The things I liked most about the program apart from the training was that it helped me improve my personal skills as well. I got placed in Fractal as a Consultant, wherein my role provides me with exciting opportunities. Looking forward to learning and growing more in the field of Data Science.
I joined the bootcamp about a month ago and it was a great experience. In the bootcamp, every aspect of a data science project was focused-on thoroughly. The instructors & mentors were very helpful throughout the course. I experienced theoretical learning in the classroom and practical learning during the internship which was a great duo. Kudos to the Analytics Vidhya team for such a great thought-out bootcamp.
The Data Science Bootcamp Training programme covered various topics, delivered in concise chunks that were easy to absorb. The instructors have put a lot of thought and expertise into designing it. The regular assignments, assessments and projects have helped me understand the topic at a deeper level. Analytics Vidhya has not only provided the relevant training and improved my technical skills, but has also helped me strengthen my personal skills!
It was a diverse experience interacting with the colleagues over zoom.It was a holistic learning experience especially for someone like me whose previous job role was in operations and making a switch to data science.
Everyday was a new learning experience. Regular projects, Hackathons, Blogathons and presentations, gave me more clarity about the concepts and motivated me to do better. Whenever I felt stuck, the AV team was there to help and their guidance always gave a realistic perception towards problems.
I had a great learning experience during my internship. I got a chance to learn about different stages of data in the Data lifecycle, right from collection of raw data to derive meaningful outputs and predictions. Also, I got the opportunity to implement and showcase my knowledge through Hackathons and blogs which helped me to share my learning to the community and reach a larger audience.
My Bootcamp Experience at AV was fantastic. I did a lot of modelling projects (regression, clustering, propensity modelling, classification etc.) I also wrote blogs for our website which helped me gain a holistic knowledge about the topics that I was studying. Overall, the internship helped me develop critical thinking so that I could actually solve problems rather than simply using tools.
Get the right knowledge and experience required to get your dream data science job.
Deep dive into the world of data science with the right blend of tools, techniques and projects.
Transition into data science early on in your career and start young in the world of data science.
Program starts
Deep Dive into the world of Analytics with Excel and SQL
Master your Storytelling Skills with PowerBI
Polish your Python Coding Skills
17+ Modules starting from basics like Excel to the most advanced machine learning topics
Overview Data Science and Application
Common terminologies of Data Science
Various roles within Data Science
Essential Stages of Data Science Life Cycle
Organizational challenges while building Data Science projects
Problem Formulation and Framework to choose right problem statement
Hypothesis Building and Framework
How to Build Comprehensive Hypothesis set
Excel Basics, Formulas and Functions
Excel Charts, Pivot Tables, Sort, Filter, What-if Analysis tool
Build business simulation using Excel
Basics of databases
ACID and BASE properties of a database
Working with SQL, Extract data from databases containing multiple tables
Performing Data Analysis using SQL
Loading datasets and establishing table relationships
Work with different type of charts and dashboards
Working with Map visualizations and other advanced charts with drill down functionalities
Working with power query for data manipulation
Writing DAX expressions
Python Basics Programming (Conditional, Looping, Functions)
Pandas, Matplotlib, Seaborn, regular expression, beautifulsoup
Good programming practices (testing, debugging, assertions, exception handling)
Get familiar with functional programming and its use cases
Understand the concepts of Object Oriented Programming (Inheritance, encapsulation)
Learn about version control and working with github
Connecting with databases using python
Public Vs Private Cloud
IaaS vs PaaS Vs SaaS
AWS Global Infrastructure
AWS Compute Services - EC2, AWS Lambda
AWS Storage Services - S3, DynamoDB, RedShift
AWS Security Policies
Monitoring & Analysis - AWS CloudWatch
Univariate, Bi-variate and Multivariate analysis
Work with different type of tests like t-test, z-test, chi-square test, anova
Work with Missing values, outliers, data pre-processing
Learn Important ML Basics Concepts (Train, Test, Validate, Bias , Variance, Overfitting, Underfitting)
Work with Evaluation metrics (Classification and Regression both)
Work with different validation techniques
Perform data cleaning and Preprocessing
Linear Models, Decision Tree, k-NN
Math Behind each Machine Learning Algorithm
Building Classification and Regression Models
Hyperparameter Tuning to improve model
Introduction to unsupervised learning and clustering
Working of clustering algorithms (k-means clustering)
Evaluation metrics for unsupervised learning problems
Understand feature engineering for structured and unstructured data
Perform feature extraction, generation and transformation techniques
Explore the basic and advanced ensemble techniques (rank averaging, random forest and more)
Challenges & Applications of Big Data
Introduction to Distributed Computing
Spark Architecture
RDDs & DataFrames
Understanding Spark Execution
Building Classification & Regression Models
Building ML Pipelines
SQL vs NoSQL databases
Different types of NoSQL databases
Querying, Aggregation & Indexing in MongoDB
Replicate & Share data in MongoDB
Exploring time series data and dealing with date-time variable
Learn Basic Forecasting algorithms (naive approach, simple average, moving average)
Work with Exponential smoothing algorithms (Simple, double, holts winter)
Work with Advanced forecasting algorithms (ARIMA, SARIMA, Prophet)
Introduction to NLP and its applications
Handling Text Data (Cleaning and Pre-processing)
Information Extraction and Retrieval from text
Language Modelling
Feature Engineering from textual data
Text Classification
Topic modelling
Introduction to Deep Learning
Introduction to Neural Networks
Activation Function, Optimizers, Loss Functions
Image Classification
Transfer Learning
RNN, LSTM, GRU
Text Classification
Introduction to Model Deployment
Deploying Your First Machine Learning models
Deploying ML Learning model using Streamlit + AWS
Deploying Image Classification model using Streamlit + AWS
Customer retention is a crucial aspect for any organization. Learn to use the Data Science Techniques for predicting the propensity of customer churn for a Bank.
To improve the efficiency of taxi dispatching systems, it is important to be able to predict how long a driver will have his taxi occupied. Build Machine Learning Models to accurately predict trip duration for taxi trips in New York City.
Work on a dataset of FIFA19 players and do descriptive analytics on it. Go through the thought process of how data is understood, transformed into a useful format and how we get answers and insights from our data.
Fatalities due to traffic delays of emergency vehicles such as ambulance & fire brigade is a huge problem. Use Deep Learning Techniques and design a system for classifying a vehicle into an emergency and non emergency category.
Apply for the Data Science Bootcamp program by filling up the application form.
Take the Assessment Test and undergo the Interview Rounds
Get started on your journey to become a industry ready data scientist
1,60,000 + GSTCandidates can pay the program fee through Netbanking, Credit/Debit cards, Cheque or DD. Also, with our corporate financial partnerships avail education loans at 0% interest rate*.
The Data Science Immersive Bootcamp ISA (Income Sharing Agreement) is a type of payment plan where you can pay the program fee when you get hired.
We at Analytics Vidhya truly believe that we benefit only when you benefit. The ISA (Income Sharing Agreement) is a payment plan for all those bright students across India who can’t afford to pay the entire fee of this program upfront but seriously want to take up this opportunity to become a successful data scientist.
With Early Bird Offer (SAVE ₹30,000 during early bird offer enrollment period on one time full payment and ₹15,000 on EMI option)
Guaranteed Job of minimum ₹5,50,000 per annum (₹45,833 per month)
All prices are exclusive of government taxes (GST)
Admission Fee of ₹20000 + GST ( Non refundable)
Scholarship will be given on the ISA amount for the ISA option.
With Early Bird Offer (SAVE ₹30,000 during early bird offer enrollment period on one time full payment option and ₹15,000 on EMI option)
All prices are exclusive of government taxes (GST)
Guaranteed Job of minimum ₹5,50,000 per annum (₹45,833 per month)
Admission Fee of ₹20000 + GST ( Non refundable) to be paid at the time of enrolment.
Scholarship will be given on the ISA amount for the ISA option and not on admission fee.
Guaranteed Job of minimum ₹5,50,000 per annum (₹45,833 per month).
Processing Fee of Loan Agreement is ₹1000 + GST
With Early Bird Offer (SAVE ₹30,000 during early bird offer enrollment period on one time full payment and ₹15,000 on EMI option)
All prices are exclusive of government taxes (GST)
Admission Fee of ₹20000 + GST ( Non refundable) to be paid at the time of enrolment.
Scholarship will be given on the ISA amount for the ISA option and not on admission fee.
Guaranteed Job of minimum ₹5,50,000 per annum (₹45,833 per month).
Processing Fee of Loan Agreement is ₹1000 + GST
ISA can be signed for 12 or 24 months.
All prices are exclusive of government taxes (GST)
Admission Fee of ₹20000 + GST ( Non refundable) to be paid at the time of enrolment.
Scholarship will be given on the ISA amount and not on the admission fee.
Hear the story of Sarthak, who went from being a fresher to AM - Analytics at Paisabazaar, India’s largest fintech company.
Get a glimpse of Kamaldeep’s journey into the field of data science and how he managed to grab one of the hottest roles in the industry
Hear the story of Ashwin, who converted his experience and transitioned into data science successfully.
Get a glimpse of Kaushal’s story, who took a leap of faith which was worth it.
