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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
Training Conducted
330 Hrs

Training Conducted

Students Trained
10000+

Students Trained

Hiring Companies
250+

Hiring Companies

Highest Fresher Salary
12.5 L.P.A

Highest Fresher Salary

Business Data Analytics Curriculum

Diving into the World of Data
Weeks 2 Weeks
  • Data Analytics life cycle
  • How to see Data?
  • Descriptive Statistics
  • Probability
  • Inferential Statistics
  • Algebra and Derivative
  • What is Computer Program ?
  • Procedure to find Problem Solution
  • Regex and Web Scraping
  • Algorithms
  • Flowcharts
Excel & Advance Excel
Weeks 3 Weeks Projects 1 Projects
  • Introduction To Excel
  • Creating a new Workbook & managing workbook
  • Range Selection
  • Sharing Workbook
  • Filling data
  • Formula and Function
  • Formula Referencing
  • Font, Text, Number, Date, Currency Formating
  • Printing and Page setups
  • Advance Excel
  • Vlookup Hlookup
  • what if analysis
  • Pivot Table
  • Data Visualization
  • Regression Analysis
Credit card fraud detection

House Price Prediction

Credit card fraud detection

Taxi Far Prediction

Power BI
Weeks 3 Weeks Projects 1 Projects
  • Introduction to Power BI
  • Data Analysis & Expression
  • Data Viz & Connectivity
  • BI Report Server
  • Advance Analysis with R and Python Integration
  • Case Study
Tableau
Weeks 4 Weeks Projects 1 Projects
  • Introduction to Tableau
  • Tableau Shelf and Card
  • Connecting to and Preparing Data
  • Organizing and Simplify a Data
  • Field Chart
  • Analytics
  • Tableau Dashboard
Insurance claim detection

supply chain analytics

SQL
Weeks 2 Weeks
  • Introduction to SQL
  • Data Definition Language(DDL)
  • Data Manipulation Language(DML)
  • Data Query Language(DQL)
  • Sub query Correlated subquery Joins
  • View & Indexes
Python
Weeks 7 Weeks Projects 2 Projects
  • Introduction To Python
  • Setup for Python & Anaconda
  • Data Type, Variable & Operators
  • Conditional Statements
  • Iterative Statements
  • Functions
  • Modules
  • File Handling
  • OOP
  • Exception Handling
  • Regex, Web scrapping using Beautiful Soup & Selenium
Credit card fraud detection

Web scrapping & Data analytics using python

Analytics with Python
Weeks 1.5 Weeks Projects 2 Projects
  • Pandas
  • Numpy
  • Seaborn
  • Matplotlib
Machine Learning
Weeks 6 Weeks Projects 3 Projects
  • Introduction to ML
  • Regression - Linear & Polynomial
  • Classification - Logistic Regression
  • Decision Tree
  • Random Forest
  • Support Vector Machine
  • Clustering - KMeans and Hierarchical
  • Principal Component Analysis
  • Association Rules
  • Network analysis
Twitter data downloading

Twitter data downloading

RProgramming
Weeks 3 Weeks Projects 2 Projects
  • Introduction to R Programming
  • Advance R Programming
  • Data IO
  • Data Analysis using R Programming
  • Data manipulation using R Programming/ Exploratory Data Analysis
  • Data visualization using R Programming
Natural Language Processing
Weeks 2 Weeks Projects 2 Projects
  • Text Mining vs Natural Language Processing
  • Tokenization
  • Stopwords Removal
  • Stemming and Lemmatization
  • Parts Of Speech Tagging
  • Named Entity Recognition
  • Text Visualization
  • Bag-of-Words (CountVectorizer)
  • TF-IDF Vectorizer
  • Text classification using Machine Learning
Time Series
Weeks 3 Weeks Projects 1 Projects
  • Introduction to Time series
  • Understanding Time Series Data
  • Visualizing and Understanding Time SeriesComponents
  • ACF and PACF
  • Autoregressive models: AR, MA, ARMA, ARIMA
  • Exponential Smoothing
  • Holt-Winter's Model
Stock market forecasting

Stock price prediction

Stock market forecasting

Vehicle resale value

Stock market forecasting

Government skim budget Forcast

Stock market forecasting

Sales forcasting

Machine Learninge and Data Analytics using AWS
Weeks 2 Weeks Projects 1 Projects
  • Introduction to AWS
  • Free Tier AWS Dashboard and Services
  • AWS Data Analytics Services
  • "AWS Storage system, AWS Performance Tuning and Monitoring
  • Machine Learning model development & deployments using AWS
Big Data
Weeks 4 Weeks Projects 2 Projects
  • Introduction to Big Data
  • Hadoop Framework, Hadoop Commands
  • Data loading using SQOOP and Flume
  • Data Analysis using Pig and Hive
  • Machine Learning using Apache Spark
Domain Exposure
Weeks 1 Weeks
  • Business and Finance
  • Marketing & CRM
  • Marketing & Retail Analysis
  • Social Media Analytics using Google analytics
  • Finance and Risk Analysis
  • Supply chain and Logistic Analysis

Programming Languages & Tools Covered

Excel
Tablue
MySQL
Python
R-Tool_website
R-studioTool_website
Jupyter
Scikit Learn
Statsmodel
Hadoop
SQOOP
Flume
Apache-Pig
Hive
Apache-Spark

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

2 LPA
0 Yrs 2 yrs 4 Yrs 6 Yrs 8 Yrs
22 LPA

Job Roles You Can Apply for

Data Analyst
Business Analyst
Sr. Data Analyst
Data & Analytics Manager
Data Engineer

Our Certifications

Master Certification in Data Science and & Analytics
Itvedant Certificate
The Master Certification program of Business Data Analytics prepares you for the heavyweight title – Data Analyst. Not just that along with the master certification of Business Data Analytics you shall be given 15 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 Microsoft Certification Exam with our guidance ? Look next
Master certification in Data science and analytics
Microsoft Certification in Data Science and & Analytics
Microsoft Certificate
Itvedant prepared 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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Our Team will get in touch with you soon or call 9205004404 now to get answer for all your queries !

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