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Our Training Process

training process
training process

Key Highlights of the Program

  • Personalized Career Coach
    Personalized Career Coach
  • 80% Practical Training
    80% Practical Training
  • 2 Global Certifications
    2 Global Certifications
  • Guaranteed Internship
    Guaranteed Internship
  • Study App/Material
    Study App/Material
  • Instant Doubt Solving
    Instant Doubt Solving
  • 100% Job Assurance
    100% Job Assurance
  • 40+ Case Studies & Projects
    40+ Case Studies & Projects
  • No Cost EMI Option
    No Cost EMI Option
  • Job or Refund Program
    Job or Refund Program
Freshers Enrolled
7000+

Freshers Enrolled

Personalized Coaching
1:1

Personalized Coaching

Tie Up Companies
250+

Tie Up Companies

Avg. Salary Drawn
3-15 lakhs P.A

Avg. Salary Drawn

Data Science & Analytics Curriculum

Python for Data Science
Weeks 6 Weeks Projects 2 Projects
  • Introduction
  • Variables, Datatype, Operator and Conditional statements
  • Loop
  • Function
  • Module
  • OOP
  • Exception Handling
  • File Operation
  • Regex and Web Scraping
  • Thread
  • Database Connectivity
  • Flask API
  • Numpy
  • Pandas
  • Visualization
To Do List Console Based Application

To Do List Console Based Application

Net banking Application

Net banking Application

Statistics
Weeks 2 Weeks Projects 1 Projects
  • Descriptive Statistic
  • Probablity
  • Inferential Statistic
  • Algebra and Derivatives
  • Linear Algebra and Calculus
RDBMS using MySQL
Weeks 4 Weeks Projects 1 Projects
  • Introduction to DBMS
  • Introduction to SQL and DDL
  • Data Modification Language (DML)
  • Data Query Language (DQL)
  • Built-in SQL Functions
  • Sub-query and Joins
  • Views and DCL
  • Stored Procedures and Functions
  • Exception Handling
  • Cursor
  • Triggers
Deep Learning
Weeks 2 Weeks Projects 1 Projects
  • Introduction to TensorFlow & Keras
  • Introduction to Perceptron & Neural Networks
  • Activation and Loss functions
  • Gradient Descent
  • Batch Normalization
  • Hyper Parameter Tuning
Insurance claim detection

Insurance claim detection

Machine Learning
Weeks 4 Weeks Projects 3 Projects
  • Introduction
  • Linear Regression
  • Regularization
  • Feature Selection
  • Logistic Regression (Classification)
  • Decision Tree
  • Ensembling
  • Boosting
  • Unsupervised Learning (Clustering)
  • SVM
Credit card fraud detection

Credit card fraud detection

Uber ride Data Analytics

Uber ride Data Analytics

Tableau
Weeks 3.5 Weeks Projects 1 Projects
  • Introduction to Tableau
  • Tableau Shelf & Cards
  • Connecting to & Preparing data
  • Organizing & Simplifying data
  • Fields & charts
  • Analytics
  • Tableau dashboards
  • Case studies
Big Data
Weeks 2 Weeks Projects 2 Projects
  • Introduction to Big Data
  • Hadoop Stack
  • ETL Tools - Sqoop and Flume
  • Pig
  • Hive
Twitter data downloading

Twitter data downloading

Natural Language Processing
Weeks 2.5 Weeks Projects 2 Projects
  • Introduction to NLP
  • Feature Engineering and Preprocessing
  • Text classification
  • Topic Modelling
  • Sentiment Analysis
  • Word cloud
Sentiment analysis on Movie data

Sentiment analysis on Movie data

Alexa Amazon reviews

Alexa Amazon reviews

Computer Vision
Weeks 2.5 Weeks Projects 3 Projects
  • Introduction to Convolutional Neural Networks
  • Convolution, Pooling, Padding & its Mechanisms
  • Forward Propagation & Backpropagation for CNNs
  • CNN architectures like AlexNet, VGGNet, InceptionNet & ResNet(Video)
Face detection

Face detection

People counting robot

People counting robot

OCR code detection

OCR code detection

Time Series Analysis
Weeks 1.5 Weeks Projects 2 Projects
  • Introduction to Sequential Data
  • Exponential Smoothing Model
  • Arima Model
  • LSTMs - Long short-term Memory
Stock market forecasting

Stock market forecasting

Recommender Systems
Weeks 1.5 Weeks Projects 1 Projects
  • Introduction to Recommender system
  • Conditional Filtering
  • Nearest Neighbor Collaborative Filtering
  • Evaluation metrics
  • Matrix Factorization
R Programming
Weeks 2 Weeks Projects 1 Projects
  • Introduction
  • Descriptive statistics
  • Probability
  • Inferential statistics
  • Introduction to R
  • Advance R
  • Data I/O
  • Data manipulation
  • Data Visualization
Artificial Intelligence Projects
Weeks 4 Weeks Projects 3 Projects
  • Project
Driver drowsiness(Volvo care project)

Driver drowsiness(Volvo care project)

Simulator of Google assistant

Simulator of Google assistant

Download Brouchure  

Programming Languages & Tools Covered

Python
Pandas
Numpy-Panda
Matapolib
Seaborn
Google-Colab
Jupyter
My-Sql
Hadoop
Scoop
Flume
Hive
Learn
Tenser-flow
Keras

Case Studies

Telecom Customer Defection Analysis
Telecom Customer Defection Analysis
itvedant
itvedant

Customer churn, also known as customer defection, is the loss of clients or customers. Telephone service companies often use customer churn analysis and customer churning rates as one of their key business metrics. In this project, we will analyze telecom data and predict the chance of customer defection using various Machine Learning Classification Algorithms.

itvedant
Twitter Data Analysis
Twitter Data Analysis
itvedant
itvedant

Using the concepts and tools of the Big data, we will collect and store a large amount of data from tweets. This data will be further used for analyzing and extracting sentiments using Natural Language processing techniques.

itvedant
Image recognition
Image Recognition
itvedant
itvedant

Using the concepts of computer vision, the machine will identify objects placed under the camera. Similar concepts will be used for face detection and authentication.

itvedant
Movie recommender
Movie Recommender
itvedant
itvedant

Using the concepts of the recommender system, the application will be able to recommend movies to the user depending on past experience and the customer's personal choice.

itvedant
Stock market analysis
Stock Market Analysis
itvedant
itvedant

Using the concepts of time series analysis, the application will be able to predict future patterns of stock by analyzing the previous patterns. This project will also use various visualization techniques for visualizing the stock pattern.

itvedant
Credit card fraud detection
Credit Card Fraud Detection
itvedant
itvedant

It is important that credit card companies are able to recognize fraudulent credit card transactions so that customers are not charged for items that they did not purchase.

itvedant
Uber ride Data Analytics
Uber Ride Data Analytics
itvedant
itvedant

You are a cab rental start-up company like Uber and You have successfully run the pilot project and now want to launch your cab service across the country. You have collected the historical data from your pilot project and now have a requirement to apply analytics for fare prediction. You need to design a system that predicts the fare amount for a cab ride in the city.

itvedant
Insurance claim detection
Insurance Claim Detection
itvedant
itvedant

Insurance companies take risks over customers. Risk management is a very important aspect of the insurance industry. Insurers consider every quantifiable factor to develop profiles of high and low insurance risks. Insurers collect vast amounts of information about policyholders and analyse the data.As a Data scientist in an insurance company, you need to analyse the available data and predict whether to sanction the insurance or not

itvedant
Telecom Customer Defection Analysis
Telecom Customer Defection Analysis
itvedant
itvedant

Customer churn, also known as customer defection, is the loss of clients or customers. Telephone service companies often use customer churn analysis and customer churning rates as one of their key business metrics. In this project, we will analyze telecom data and predict the chance of customer defection using various Machine Learning Classification Algorithms.

itvedant
Twitter Data Analysis
Twitter Data Analysis
itvedant
itvedant

Using the concepts and tools of the Big data, we will collect and store a large amount of data from tweets. This data will be further used for analyzing and extracting sentiments using Natural Language processing techniques.

itvedant
Image recognition
Image Recognition
itvedant
itvedant

Using the concepts of computer vision, the machine will identify objects placed under the camera. Similar concepts will be used for face detection and authentication.

itvedant
Movie recommender
Movie Recommender
itvedant
itvedant

Using the concepts of the recommender system, the application will be able to recommend movies to the user depending on past experience and the customer's personal choice.

itvedant
Stock market analysis
Stock Market Analysis
itvedant
itvedant

Using the concepts of time series analysis, the application will be able to predict future patterns of stock by analyzing the previous patterns. This project will also use various visualization techniques for visualizing the stock pattern.

itvedant
Credit card fraud detection
Credit Card Fraud Detection
itvedant
itvedant

It is important that credit card companies are able to recognize fraudulent credit card transactions so that customers are not charged for items that they did not purchase.

itvedant
Uber ride Data Analytics
Uber Ride Data Analytics
itvedant
itvedant

You are a cab rental start-up company like Uber and You have successfully run the pilot project and now want to launch your cab service across the country. You have collected the historical data from your pilot project and now have a requirement to apply analytics for fare prediction. You need to design a system that predicts the fare amount for a cab ride in the city.

itvedant
Insurance claim detection
Insurance Claim Detection
itvedant
itvedant

Insurance companies take risks over customers. Risk management is a very important aspect of the insurance industry. Insurers consider every quantifiable factor to develop profiles of high and low insurance risks. Insurers collect vast amounts of information about policyholders and analyse the data.As a Data scientist in an insurance company, you need to analyse the available data and predict whether to sanction the insurance or not

itvedant

Slide to Know Your Salary

3 LPA
0 Yrs 2 yrs 4 Yrs 6 Yrs
30 LPA

Job Roles You Can Apply for

Data Scientist
Data Analyst
Data Science Engineer
Data Science Intern
Business Analyst
ML Engineer

Our Certifications

Master Certification in Data Science and & Analytics
Itvedant Certificate
The Master Certification program of Data Science & Analytics prepares you for the heavyweight title – Data Scientist. Not just that along with the master certification of Data Science & Analytics you shall be given 13 course module completion certificates at every check-point clearance if you are effective in meeting the Itvedant® Assessment Standards.And yes did we say you can easily clear the Google TensorFlow Exam with our guidance ? Look next
Master certification in Data science and analytics
Google Certification in Data Science and & Analytics
Google Certificate
Itvedant prepares you for the Tensorflow Certification Program ! The Tensorflow Certification is recognised globally and your skills in Machine Learning is assessed by a company known by everyone ” Google® “
google tensorflow certification
Microsoft Certification in Data Science and & Analytics
Microsoft Certificate
Itvedant prepares you for the Microsoft Certification Program ! The Microsoft Certification is recognised globally and your skills in Python is assessed by a company known by everyone ” Microsoft® “
Microsoft Certification

FAQ's

What is the minimum qualification required to enroll into a Data Science & Analytics course ?

Individuals with a minimum qualification of 12th can enroll into our Data Science & Analytics course.

What is the duration of the course ?

The duration of the course is 12 Months.But the duration of the course solely depends on the number of modules you choose to learn.

What happens if I miss a session?

You needn’t worry about missing a session, our dedicated Relationship manager, would help you with anything related to administration. The Relationship manager will arrange a session with trainers in place of the missed one.

Can I pay my total course fee in EMI’s ?

Yes, you can avail No Cost EMI’s (No Interest) at Itvedant, for which you are supposed to pay the 25% of the fees as first down payment and the remaining fees in 9 Months instalments.

What kind of salary can I expect after the successful completion of my Data Science & Analytics Course ?

A fresher in Data Science & Analytics would draw a salary in a range of 3-15LPA at Itvedant.

When can I expect to receive placement calls and how long ?

We are equipped with a very strong placement wing who make sure you are placed. You start receiving placement calls right after completing 60% of your course. You may receive unlimited placement calls at Itvedant. We make sure you get placed!

Is any certification granted at the end of the Course ?

Post successful completion of the Course, a Masters in Data Science & Analytics would be granted from Itvedant along with Microsoft & Google Certificates

Is the course Masters in Data Science & Analytics alone enough to get hired ?

Yes, our unique modules in Data Science makes you Industry ready right after the course and we assure 100% placement assurance

What am I supposed to bring to the Institute? Are computers provided?

You needn’t bring anything, in particular, you will be provided with individual laptops and study materials at Itvedant.

Get a Job In

Accenture
Airtel
Capgemini
Deloitte
HP
IDBI Bank
Jio
Max life
Reliance industries
TCS

Alumni Testimonials

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