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Industrial Training in Data Science and AI

Designed For Fresh Graduates

Learnbay offers Industry Accredited Data Science and Artificial Intelligence Certification.This foundation program is designed for fresh graduates who are passed out in 2020-21.

Eligibility

Fresh Graduates

Certification

Accredited with IBM

Projects

8+ Real Time Projects

No Cost EMI

₹ 7k/mon* (4 months)

ABOUT COURSE
About This Program

Eligibility

This program is best suited for Fresh Graduates.
Academics: BBA, BCA, BE, B.Tech, M.Tech, MCA, MBA,

Job Assistance

Resume sessions, Mock interviews and job referrals to land your dream job or data science and ML engineer.

Live Projects

8+ Real-time projects from multiple domains like healthcare, BFSI, retail, manufacturing, e-commerce, and marketing.

Industrial Certified Training in Data Science and AI

Designed For Fresh Graduates

Learnbay offers Industry Accredited Data Science and Artificial Intelligence Certification.This foundation program is designed for fresh graduates who are passed out in 2020-21.

Course Fee

39,999
4 months (200+ hrs)
This course includes:

Weekdays Batches

8 + Real World Industry Project

From Basics to Advance

 Job Assistance & Referrals

Live Faculty-led Online Training

One Year Flexible Subscription

Final year project mentor-ship

Eligibility

Fresh Graduates

Certification

Accredited with IBM

Projects

8+ Real Time Projects

No Cost EMI

₹ 7k/mon* (4 months)

ABOUT COURSE
About This Program

Eligibility

This program is best suited for Fresh Graduates.
Academics: BBA, BCA, BE, B.Tech, M.Tech, MCA, MBA,

Job Assistance

Resume sessions, Mock interviews and job referrals to land your dream job or data science and ML engineer.

Live Projects

8+ Real-time projects from multiple domains like healthcare, BFSI, retail, manufacturing, e-commerce, and marketing.
Key Highlights
Program Overview

  Designed for Fresh Graduates

  Final year project mentorship & Assistance

  Industrial Certificate which is accredited with IBM

  One-on-One with Industry Mentors

  Job Assistance & Referrals (No Job Guarantee)

  Interview Prep Session And Mock Interview

  6 months Internship Program

  8+ Industry Projects & 2 capstone

  Live Interactive Classes

   Interest Free Loan and No Cost EMI on Credit cards

Key Highlights
Program Overview

  Designed for Fresh Graduates

  Final year project mentorship & Assistance

  Industrial Certificate which is accredited with IBM

  One-on-One with Industry Mentors

  Job Assistance & Referrals (No Job Guarantee)

  Interview Prep Session And Mock Interview

  6 months Internship Program

  8+ Industry Projects & 2 capstone

  Live Interactive Classes

   Interest Free Loan and No Cost EMI on Credit cards

TOP SKILLS
Top Skills You Will Learn

Top Skills You Will Learn

Python for data science, Statistics, Machine Learning, Basics Deep Learning, NLP & Chatbot, Basics CV, SQL, Tableau,PowerBI, Big data, Github, Cloud Deployment using AWS.

Job Opportunities

Data Analyst, Data Scientist, Data Engineer, Product Analyst, Machine Learning Engineer, Decision Scientist.

Details About Real Time Projects.

2 Capstone Project and 8+ Real time projects from multiple domains help you to showcase practical skills to recruiter and get your dream job.

Minimum Eligibility

Our course is specifically designed for the graduates who are passed out in 2020-21 and the one who are in the last year of their graduation can also eligible for this course
TOP SKILLS
Top Skills You Will Learn

Top Skills You Will Learn

Python for data science, Statistics, Machine Learning, Basics Deep Learning, NLP & Chatbot, Basics CV, SQL, Tableau,PowerBI, Big data, Github, Cloud Deployment using AWS.

Job Opportunities

Data Analyst, Data Scientist, Data Engineer, Product Analyst, Machine Learning Engineer, Decision Scientist.

Details About Real Time Projects.

2 Capstone Project and 8+ Real time projects from multiple domains help you to showcase practical skills to recruiter and get your dream job.

Minimum Eligibility

Our course is specifically designed for the graduates who are passed out in 2020-21 and the one who are in the last year of their graduation can also eligible for this course

Download Program Brochure

FEATURES
Course Features
Win a Scholarship

To avail scholarship you must attend a quick online aptitude test. once you crack the test successfully one of our executive will contact you to take you through the further process.

Up to 40% of scholarship will be given on the course price in respective to your score range between 60 to 90.

TO KNOW MORE ABOUT PROGRAM AND ITS ELIGIBILITY TO KNOW MORE ABOUT PROGRAM AND ITS ELIGIBILITY SESSION WITH OUR EXPERT.

Who Should Apply

This program is for college students / fresh graduates who are 2020-21 pass out, looking for a career in Data Science and AI.

Academics: BBA, BCA, B TECH, M TECH, MCA, MBA, ETC.

To know which Program is best suitable for your profile, Apply for Career counselling session with our expert.

Course Prerequisite

There is no Prerequisite for this course as we cover programming and statistics from basics. We provide special classes & support for professionals from non-programming/non-technical backgrounds.

Special Support to Non Programmers

We provide special python programming fundamentals classes design for non technical students/graduates which helps them to learn programming concepts easily

About Instructors
  • Our instructors are working professionals who graduated from premier institutes like BITS Pilani, IIT Roorkee, and working in companies as Data Scientist/Machine Learning Engineer and Artificial Intelligence expert.
  • Students will be guided by our mentors until the end of a course. A student can seek help by our mentors even after course completion for knowledge and placement purposes.
Fees and Duration
Weekday Program Batches: 4 Months

Monday – Friday – 2 hours every day

Program Fee: Rs. 39,999/-

INTEREST-FREE INSTANT LOAN WITHOUT CREDIT CARD

NO COST EMI ON MAJOR CREDIT CARDS

Hybrid Model Classes

Attain 2 Capstone & 12+ Real Time AI and ML Projects in Classroom-mode OR Live-online led by industrial experts.
Locations: Pune, Mumbai, Delhi, Hyderabad, Chennai, Bengaluru

It is completely optional to attain project sessions in classroom. You can also prefer Live-Online Interactive Mode guided by Industrial Expert.

COURSE
Syllabus

Programming Basics &Environment Setup hr

Installing Anaconda, Anaconda, Basics, and Introduction, Get familiar with version control, Git, and GitHub.Intro to Jupyter Notebook environment. Basics Jupyter notebook Commands.Programming language basics.

Python Programming Overview hr

Python 2.7 vs Python 3,Writing your First Python Program
Lines and Indentation,Python Identifiers,Various Operators and Operators
Precedence ,Getting input from User,Comments,Multi line Comments.

Strings, Decisions And Loop
Control
hr

Working With Numbers, Booleans and Strings,String types and
formatting, String operations Simple if Statement, if-else Statement
if-elif Statement. Introduction to while Loops. Introduction to for Loops,Using
continue and break.

Python Data Types hr

List,Tuples,Dictionaries,Python Lists,Tuples,Dictionaries,Accessing Values,Basic Operations,Indexing, Slicing, and Matrixes,Built-in Functions & Methods,Exercises on List,Tuples And Dictionary

Functions And Modules hr

Introduction To Functions – Why Defining Functions. Calling Functions
Functions With Multiple Arguments.Anonymous Functions – Lambda
Using Built-In Modules, User-Defined, Modules, Module Namespaces,Iterators And Generators

File I/O And Exceptional Handling and Regular Expression hr

Opening and Closing Files,open Function,file Object Attributes
close() Method ,Read,write,seek.Exception Handling, try-finally Clause
Raising Exceptions, User-Defined Exceptions. Regular Expression- Search
and Replace. Regular Expression Modifiers. Regular Expression Patterns,re module.

Data Analysis Using Numpy And
Pandas
hr

Introduction to Numpy. Array Creation, Printing Arrays, Indexing, Slicing and Iterating, Shape Manipulation -Changing the shape, stacking, and splitting of the array. Vector stacking, Broadcasting.

Pandas : Introduction to Pandas,Importing data into Python
Pandas Data Frames, Indexing Data Frames, Basic Operations With Data frame,
Renaming Columns, Subletting, and filtering a data frame.

Data Visualisation using Python:
Matplotlib and Seaborn
hr

Matplotlib: Introduction,plot(),Controlling Line Properties,Subplot with Functional Method, MUltiple Plot, Working with Multiple Figures,Histograms

Seaborn :Intro to Seaborn And Visualizing, statistical relationships , Import and Prepare data.Plotting with categorical data and Visualizing linear relationships Seaborn Exercise

Tools Covered

Fundamentals of Math and
Probability
hr

Basic understanding of linear algebra,Matrics, vectors. Addition and
Multimplication of matrics.Fundamentals of Probability
Probability distributed function and cumulative distributed function.

Descriptive Statistics hr

Describe or sumarise a set of data Measure of central tendency and
measure of dispersion.The mean,median,mode, curtosis and skewness. Computing Standard deviation and Variance.Types of distribution.

Inferential Statistics hr

What is inferential statistics,Different types of Sampling techniques
Central Limit Theorem,Point estimate and Interval estimate
Creating confidence interval for,population parameter
Characteristics of Z-distribution and T-,Distribution. Basics of Hypothesis
Testing. Type of test and rejection,region. Type of errors in Hypothesis yesting,

Hypothesis Testing hr

Hypothesis Testing Basics of Hypothesis Testing ,Type of test and Rejection Region,Type o errors-Type 1 Errors,Type 2,Errors. P value method,Z score
Method. The Chi-Square Test of, Independence.Regression. Factorial Analysis of
Variance. Pearson Correlation, Coefficients in Depth. Statistical,Significance, Effect Size

Data Processing & Exploratory
Data Analysis
hr

What is Data Wrangling, Data Pre-processing and cleaning?
How to Restructure the data? What is Data Integration and Transformation

 

EDA : Finding and Dealing with Missing Values.What are Outliers? Using Z-scores to Find Outliers. Introduction to Bivariate Analysis,Scatter Plots and Heatmaps, Multivariate Analysis

Introduction To Machine Learning 8hr

What is Machine Learning? What is the Challenge?
Introduction to Supervised Learning, Introduction to Unsupervised
Learning, What is Reinforcement Learning? Machine Learning applications
Difference between Machine Learning and Deep Learning

Supervised Learning 8hr

Support Vector Machines,Linear regression,Logistic regression
Naive Bayes, Linear discriminant analysis, Decision tree
the k-nearest neighbor algorithm, Neural Networks (Multilayer perception) Similarity learning

Linear Regression 8hr

Introduction to Linear Regression,Linear Regression with Multiple
Variables, Disadvantage of Linear Models, Interpretation of Model Outputs
Understanding Covariance and Colinearity, Understanding Heteroscedasticity

Case Study – Application of Linear Regression for Housing
Price Prediction

Logistic Regression hr

Introduction to Logistic Regression.–Why Logistic Regression .
Introduce the notion of classification, The cost function for logistic regression
Application of logistic regression to multi-class classification.
Confusion Matrix, Odd’s Ratio, And ROC Curve
Advantages And Disadvantages of Logistic Regression.

Decision Trees hr

Decision Tree – data set How to build decision tree? Understanding Kart Model
Classification Rules- Overfitting Problem. Stopping Criteria And Pruning. How to Find the final size of Trees? Model A decision Tree.
Naive Bayes. Random Forests and Support Vector Machines.Interpretation of Model Outputs

Unsupervised Learning hr

Hierarchical Clustering k-Means algorithm for clustering –groupings of unlabeled data points.Principal Component Analysis(PCA)-Data. Independent components analysis(ICA) Anomaly Detection Recommender System-collaborative
filtering algorithm

Case Study– Recommendation
Engine for e-commerce/retail chain

Natural language Processing hr

Introduction to natural Language Processing(NLP).
Word Frequency Algorithms for NLP Sentiment Analysis

Case Study :Twitter data analysis using NLP

Introduction to Artificial Intelligence hr

Introduction to Deep Learning,Understaing Neural Network Model,Installing TensorFlow,Simple Computation ,Contants And Variables,Types of file formats in TensorFlow,Creatting A Graph – Graph Visualization,Creating a Model – Logistic Regression Model Building using tensor flow TensorFlow Classification Examples

Introduction to Tensor Flow hr

Installing TensorFlow Simple Computation,Contents And Variables Types of file formats in TensorFlow Creatting A Graph – Graph Visualization Creating a Model – Logistic Regression Model Building TensorFlow Classification Examples

Understanding Neural Networks With Tensor Flow hr

Basic Neural Network, Single Hidden Layer Model,Multiple Hidden Layer Model,Backpropagation – Learning,Algorithm and visual representation,
Understand Backpropagation – Using Neural Network Example TensorBoard
Project on backpropagation

Natural Language Processing hr

Introduction to NLP & Text Analytics,Introduction to Text Analytics
Introduction to NLP,What is Natural Language Processing?,What Can Developers Use NLP Algorithms For?,NLP Libraries, Need of Textual Analytics, Applications of Natural Language Procession Word Frequency Algorithms for NLP Sentiment Analysis

Natural Language Processing hr

Text Pre Processing Techniques,Need of Pre-Processing,Various methods to Process the Text data,Tokenization, Challenges in Tokenization,Stopping ,Stop Word Removal,Stemming – Errors in Stemming,Types of Stemming Algorithms – Table
lookup Approach ,N-Gram Stemmers

Open CV hr

Introduction to Computer Vision,Introduction to computer Vision,Computer Vision overview,Historical Perspective,Introduction to the four Rs of Computer Vision
Image Processing ,Histogram equalization, Thresholding and Convolution. Sharpening and edge detection. Morphological tranformations, Image pyramid

RDBMS And SQL Operations hr

Introduction To RDBMS. Single Table,Queries – SELECT,WHERE,ORDER,BY,Distinct,And ,OR. Multiple Table
Queries: INNER, SELF, CROSS, and OUTER, Join, Left Join, Right Join, Full
Join, Union,Advance SQL Operations:Data Aggregations and summarizing the data
Ranking Functions: Top-N Analysis, Advanced SQL Queries for Analytics

NoSQL Databases hr

Topics – What is HBase? HBase Architecture, HBase,Components,Storage Model of HBase,HBase vs RDBMS,Introduction to Mongo DB, CRUD,Advantages of MongoDB over
RDBMS,Use cases

Programming with SQL hr

Mathematical Functions,Variables,Conditional Logic Loops,Custom Functions
Grouping and Ordering, Partitioning, Filtering Data, Subqueries

Introduction to Tableau hr

Connecting to data source,Creating dashboard pages,How to create calculated columns Different charts

Hands-on :
Hands on on connecting data source and data cleansing
Hands on various charts

Dashboard and Stories hr

Working in Views with Dashboards and Stories,Working with Sheets,Fitting Sheets
Legends and Quick Filters,Tiled and Floating Layout,Floating Objects

Mapping hr

Coordinate points,Plotting Latitude and Longitude
Custom Geocoding,Polygon Maps,WMS and Background Image
Sorting and grouping,Working with sets, set action
Filters: Ways to filter, Interactive Filters,Forecasting and Clustering

Project : AI Based Live Face Identification
System for Crowd

Domain – Face Detection

Artificial intelligence-based facial recognition systems for security purpose . Track down criminals in crowded place like malls ,airport and other crowded public places

Project : Analyzing Health Data and
tracking human activity

Domain – Healthcare
DataSet : Samsung

The goal is to breakdown all the data that the Samsung Health app has collected and see what useful insights we can gain by analyzing it.

Project : IBM HR Analytics
Domain – Demand/Supply
DataSet : IBM

Applying analytic processes to the human resource department of an
organization in the hope of improving employee performance and therefore getting a better return on investment.This is especially concerning if your business is customer facing, as customers often prefer to interact with familiar people.

Project : Forecasting Uber Demand
Domain – Demand/Supply
DataSet : Uber & Rapido

The goal is to create an interactive dashboard using Tableau This Tableau Dashboard can be used to get historical insights into a neighborhood,For example,see its upcoming forecasted demand,increase the accuracy,decrease surge pricing events.

Project : Consumer Reviews of Amazon Products
Domain – E-Commerce
DataSet :Amazon Data

The goal is to analyze Amazon’s most successful consumer electronics
product launches; discover insights into consumer reviews and assist with
machine learning models.What are the most reviewed Amazon products?
How do the reviews in the first 90 days after a product launch?

Project :Self-Driving Car
Domain – Automotive

Simulate a Self-Driving Car with Convolution Neural Networks and Computer Vision. Here you will learn to use essential Computer Vision techniques to identify lane lines on a road

Project : -Emotions Sensor
Domain – Machine Learning

Emotions Sensor Data Set Contain Top 23 730 English Words Classified
Statistically Using Naive Bayes Algorithm Into 7 Basic Emotion Disgust, Surprise ,Neutral ,Anger ,Sad,Happy and Fear.To Detect Emotions In Text or Voice
Speech to build a Sentiment Analysis Bot

Project : Predicting Stock Prices Using LSTM
Domain – Predictive Analytics

Trying to determine the future value of a company stock or other financial
instrument traded on an exchange.Predict the Closing Stock Price of a given Company. Build and train LSTM model for Stock Price Prediction

Project : Smart Supply Chain for Big Data
Analysis

Domain – Supply Chain

A DataSet of Supply Chains used by the company DataCo Global is used
for the analysis. Dataset of Supply Chain , which allows the use of Machine Learning Algorithms and R Software.It also allows the correlation of Structured Data with Unstructured Data for knowledge generation.

Project : Machine Learning
Domain – Generating Chatbot

In this project we will build a simple retrieval based chatbot based on
NLTK library in python, to perform tasks such as automatic summarization, translation, named entity recognition, relationship extraction, sentiment analysis,
speech recognition, and topic segmentation.

200+

Content Hours Available

12+

Industry Projects

20+

Live Learning Sessions

25

Expert Coaching Sessions

14

Programming Tools/ Languages
MODULES
Course Modules

Python for Data Science

Statistics Mathematics

Machine Learning

Deep Learning

NLP / Text Analytics

Computer Vision

Project Management

R Programming

Domain Training

Google Cloud

mySQL

Mongo DB

Power BI

Tableau

Apache Spark

Reinforcement Learning

Real Time Projects

AI/ML Project Management

MODULES
Course Modules

Python for Data Science

Statistics Mathematics

Machine Learning

Deep Learning

NLP / Text Analytics

Computer Vision

Project Management

R Programming

Domain Training

Google Cloud

mySQL

Mongo DB

Power BI

Tableau

Apache Spark

Reinforcement Learning

Real Time Projects

AI/ML Project Management

Program Schedule
Data Science & AI Certification Program

Term 1: Python For Data Science

 Time duration: 30 hours
 3 weeks

Python is a popular programming language in the fields of data science and artificial intelligence. Basic Python, Environment Setup, and Advanced Python scripts such as Lists, Tuples, Dictionaries, File Operations, Regular Expressions, interacting with binary data, and utilizing the comprehensive Python module features are covered in this course. Numpy, Pandas, Matplotlib, and other Python modules are also included.

Term 2: Statistics for Data Science

 Time duration: 20 hours
  2 Weeks

Statistics is one of the most relevant fields for providing techniques and methods for finding structure in data and providing greater insight into data, as well as for analyzing and quantifying complexity. We will discuss math and probability fundamentals, hypothesis testing, data mining, exploratory data analysis, and other topics in this course. These ideas can assist you in making informed business decisions based on results.

Term 3: Machine Learning

 Time duration: 30 hours
 3 weeks

Machine learning is a form of data processing that automates the development of analytical models. It’s a subset of artificial intelligence focused on the premise that computers can learn from results, recognise patterns, and make decisions with little to no human input. Supervised Learning, Unsupervised Learning, and Reinforcement Learning are the three categories of Machine Learning algorithms covered in this curriculum.

Term 4: Artificial Intelligence Modules

 Time duration:24 hours
 2.5 Weeks

Artificial intelligence (AI) is the emulation of human intelligence of computers that have been designed to think and behave like humans. This portion combines Artificial Intelligence modules such as Natural Language Processing, Deep Learning, Computer Vision, Neural Networks with TensorFlow, and Neural Networks with TensorFlow (NLP)

Module 5: SQL & Tableau

 Time duration: 16 hours
 1.5 week

In order to manage structured data, a Data Scientist need SQL.
In this program we will learn accessing, updating, inserting, manipulating and modifying data.
Tableau is a dashboard-based business intelligence engine that makes it easy to build interactive visual analytics.

Projects And Job Assistance

 Integrated with the curriculum
 When: After every module

This section includes Real-Time Industrial Projects from a variety of fields, all of which are monitored by experts.
Special support to participate in Live Kaggle Competitions
Job Assistance Program includes: Resume Built-Up Session, Mock Interviews, Job Referrals and 6 Months Internship Certificate (Based on the projects).
We provide 100% Job Assistance (No Job Guarantee)

SAMPLE CERTIFICATE

Global Accreditation and Certification

In Collaboration With IBM

Our Data Science & AI Certification Program helps you to start your career in data science and AI.

Enhancing your profile

Add this globally recognized certificate to uplift your profile and stand out of the crowd.

Real Time Project & Job Assurance

Course features 12+ Real time industry projects and Job Assurance program.
SAMPLE CERTIFICATE

Global Accreditation and Certification

In Collaboration With IBM

Our Data Science & AI Certification Program helps you to start your career in data science and AI.

Enhancing your profile

Add this globally recognized certificate to uplift your profile and stand out of the crowd.

Real Time Project & Job Assurance

Course features 12+ Real time industry projects which can be added as a learning experience in your profile with 100% Interview Guarantee.
TRANSITION STEPS
Learning Track

Step 1

Learn Full Stack DS & AI
Learn basics Python, Statistics, ML, NLP , DL, SQL and other modules in depth with real time case studies.

Step 2

Choose domain & get trained
You can select multiple domains and get trained based on your work experience, academics and career goal.

Step 3

Work on real time projects
Work on multiple real time industry projects and capstone from multiple domains with mentorship of our expert.

Step 4

Resume Prep & Mock Interview Session
Update your resume and practice mock interviews. Get 100% guaranteed job referrals for data scientist & ML Engineer.
DATA SCIENCE
Real Time Projects
DATA SCIENCE
Real Time Projects
FAQs
Frequently Asked Questions

What are the Prerequisites for data science certification Course?

There are no prerequisites for this course as all the modules are covered from basics and scratch. If you are from a non-technical and non-programming background, We provide special classes and assistance so that you can learn to program.

What if i miss few classes?What is flexi pass Option ?

In case you miss classes, You will be provided backup classes in other batches. If you miss more classes, You can request for batch change and join our next batch. To solve this issue, We provide a flexi-pass option for our data science course.

Those who enroll for live classroom training are eligible for a Flexi-pass of 6 months. With this option, We share your access to all ongoing batch details for a period of 6 months, so that you can attend live classroom sessions from any batches and learn at your own pace. This option also helps you to finish the course early as you can attend multiple batches simultaneously.
This option is best for someone working in shifts or needs to work on weekends sometimes.

What is the duration of this Course?

Duration Of this course is around 6 months, weekends only (4 hours on Sat and Sunday)
Course Duration: 200 hours (Approx)

The total duration of this course is 6 months but after 4 Months( once50% Of Machine learning is over) you can start working on Real-Time Projects and attend job interviews.

What is the mode of training?

We provide both options i.e Classroom training( in Marathahalli – Bangalore ) and instructor-led live training option. Based on your requirement and need, you can choose training mode.

How long will i get support for Job Assistance?

For 1 Year (After your course completion)

What is Job Readiness Program?

Job Readiness program helps you to prepare for data science interviews.

Resume Preparation Session: Expert guidance for writing a resume for data scientist Role

Preparing Project For interviews: Will help you to prepare and write a project description in your resume

Interview Guidance And Prep Session: 6 hours of interview readiness session to help you to prepare for interviews

One on One Mock Interviews

What is the eligibility for job assistance program?

You should have completed the course with

    • A minimum score of 70% in Assessment
    • Should have completed Assignments and case studies
    • Worked and successfully completed a min. the recommended number of real-time projects

Will i get referral for jobs?

Yes,We provide placement Assistance by referring your profile through our partnered consultancies and companies for relevant positions(Data Science/Data Analyst Roles).

Contact course manager/Counsellor to know the eligibility of job assistance program

Note: We don’t provide any 100% Job Guarantee

Can i Pay in installment?

There ai 0% EMI Available on Major credit cards.Please check with our sales team to know how 0% EMI on credit cards works.

We have promotions and early bird offer from time to time. Please check on the website or talk to our sales team to know more about the applicable discounts.

Group Discount: Group discount is applicable if you are joining with your friends.

  • 5% extra discount: Group of 2
  • 8% extra discount: Group of 3
  • Max 10% group discount: Group of 4+ members

How many minimum number of Projects should i work?

Number of Projects depends on your overall industry experience.Please find the recommended number of projects With industry experience.
2 yrs to 5 Yrs : 3 Projects
5 to 8 yrs: 5 Projects
8 yrs to 12 yrs: 7 + Projects
For your knowledge and practice, You can work on all the projects with us.
Contact our course expert to know more details
Note: Projects are guided by our expert industry mentors.

How many Real Time Projects will be covered in this Course?

There is a set of  12 Real-time projects from multiple domains like Banking, Finance, Insurance, Retail, Healthcare, and manufacturing. Based on your interest and domain, You can choose the project to work on.

Click here to download the list of project

How Projects Will be executed?

Your Project group will be assigned a project mentor and will be given the chance to work on the project With guidance and Assistance.

About our mentors

We strive to deliver the best quality training as it is one of our serious priorities, all our mentors are field professionals and have at least 8+ years of experience in the respective field.

Until when the students gets the facility of mentorship?

Students will be guided by our mentors until the end of a course. A student can seek help from our mentors even after course completion for knowledge and placement purposes.

Can a student choose to study from their desired mentor?

Every batches has respective mentors but if a student is not satisfied with any mentor’s teaching method they can raise the issue with the management and get to facility to choose their mentor.

Project mentors

We have specified mentors for teaching and training purposes, the mentors you seek during project sessions are professionals at carrying out the project courses.

How long a student will be supported for career and job opportunities?

Students will be supported by the management in fetching job opportunities starting from the end term of the course. If any student doesn’t succeed in fetching a job they will be supported by the management for an entire 1 Year after the completion of the course.

What is the eligibility for a job assistance program?

A student will be eligible for job assistance only if they have:

  1. Minimum score of 70% in the assessment
  2. Completed the assignments and case studies
  3. Worked on and successfully completed the minimum recommended number of real-time projects

Does students get a referral for jobs?

Yes, we run Placement Assistance in where we refer eligible student’s profiles to different IT companies through our partnered consultancies and companies for relevant positions (Data Science/Data Analyst Roles).
For further information, you may contact the course manager/Counselor to know the eligibility of the job assistance program
Note: We don’t provide 100% Job Guarantee
SCHEDULE ONE ON ONE PROFILE REVIEW SESSION
Career Counselling,
From Domain Expert
Understand your personalised transition into data science from your current domain.
Know if your prior experience will be considered relevant for your career in data science.
Profile review will help you to resolve your queries about real time projects, job assistance, course modules etc.
Call Us +91 77956 87988 or

Data Science and AI for Fresh Graduates

39,999.00

IBM certified Data Science Course For Working Professional to Change Your Existing Domain and start your career in data science.This course will benefit you to master data science skills and will help you to to handle interview with more confidence if you are looking for job in data science domain.

Clear

Additional information

Select Batch

Weekday Batch: 30th September, Thu,7.30 PM To 9.30 PM IST, Weekend Batch : 3rd October, Sun,12.30 PM To 4 PM IST

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}#iguru_pricing_plan_6149577e2ea4e .pricing_desc { color: #ffffff; }#iguru_pricing_plan_6149577e2ea4e .pricing_desc { background-color: #333949; }#iguru_pricing_plan_6149577e2ea4e .pricing_content { background-color: #ffffff; }#iguru_pricing_plan_6149577e2ea4e .pricing_footer { background-color: #ffffff; }#iguru_button_6149577e2ee0b .wgl_button_link { color: #ffffff; }#iguru_button_6149577e2ee0b .wgl_button_link:hover { color: #ed3836; }#iguru_button_6149577e2ee0b .wgl_button_link { border-color: #ed3836; background-color: #ed3836; }#iguru_button_6149577e2ee0b .wgl_button_link:hover { border-color: #ed3836; background-color: #ffffff; }#iguru_infobox_6149577e2fdc0 .infobox_icon { color: #4073a5; }#iguru_infobox_6149577e2fdc0 .infobox_wrapper:hover .infobox_icon { color: #dd3333; }#iguru_infobox_6149577e2fdc0 .infobox_icon_container { border-color: #1e73be; }#iguru_infobox_6149577e2fdc0:hover .infobox_icon_container { border-color: #ffffff; }#iguru_infobox_6149577e2fdc0 .infobox_icon_container { background-image: url(https://www.learnbay.co/data-science-course/wp-content/uploads/2021/02/icon_bg-01-M.png); background-position: left top; background-repeat: no-repeat; }#iguru_infobox_6149577e2fdc0 .infobox_wrapper { padding-right: 40px !important; }#iguru_infobox_6149577e2fdc0 .infobox_icon_container { margin-bottom: 7px !important;margin-left: -14px !important; }#iguru_infobox_6149577e302e1 .infobox_icon { color: #4073a5; }#iguru_infobox_6149577e302e1 .infobox_wrapper:hover .infobox_icon { color: #dd3333; }#iguru_infobox_6149577e302e1 .infobox_icon_container { background-image: url(https://www.learnbay.co/data-science-course/wp-content/uploads/2021/02/icon_bg-02-M.png); background-position: left top; background-repeat: no-repeat; }#iguru_infobox_6149577e302e1 .infobox_wrapper { padding-right: 40px !important; }#iguru_infobox_6149577e302e1 .infobox_icon_container { margin-bottom: 7px !important;margin-left: -14px !important; }#iguru_infobox_6149577e306e6 .infobox_icon { color: #4073a5; }#iguru_infobox_6149577e306e6 .infobox_wrapper:hover .infobox_icon { color: #dd3333; }#iguru_infobox_6149577e306e6 .infobox_icon_container { background-image: url(https://www.learnbay.co/data-science-course/wp-content/uploads/2021/02/icon_bg-01-M.png); background-position: left top; background-repeat: no-repeat; }#iguru_infobox_6149577e306e6 .infobox_wrapper { padding-right: 40px !important; }#iguru_infobox_6149577e306e6 .infobox_icon_container { margin-bottom: 7px !important;margin-left: -14px !important; }#iguru_pricing_plan_6149577e31bfb .pricing_title { color: #ffffff; }#iguru_pricing_plan_6149577e31bfb .pricing_price_wrap .pricing_price { color: #ffffff; }#iguru_pricing_plan_6149577e31bfb .pricing_cur { color: #ffffff; }#iguru_pricing_plan_6149577e31bfb .pricing_desc { color: #ffffff; }#iguru_pricing_plan_6149577e31bfb .pricing_desc { background-color: #333949; }#iguru_pricing_plan_6149577e31bfb .pricing_content { background-color: #ffffff; }#iguru_pricing_plan_6149577e31bfb .pricing_footer { background-color: #ffffff; }#iguru_button_6149577e31e4e .wgl_button_link { color: #ffffff; }#iguru_button_6149577e31e4e .wgl_button_link:hover { color: #ed3836; }#iguru_button_6149577e31e4e .wgl_button_link { border-color: #ed3836; background-color: #ed3836; }#iguru_button_6149577e31e4e .wgl_button_link:hover { border-color: #ed3836; background-color: #ffffff; }#iguru_infobox_6149577e32acb .infobox_icon { color: #4073a5; }#iguru_infobox_6149577e32acb .infobox_wrapper:hover .infobox_icon { color: #dd3333; }#iguru_infobox_6149577e32acb .infobox_icon_container { border-color: #1e73be; }#iguru_infobox_6149577e32acb:hover .infobox_icon_container { border-color: #ffffff; }#iguru_infobox_6149577e32acb .infobox_icon_container { background-image: url(https://www.learnbay.co/data-science-course/wp-content/uploads/2019/09/icon_bg-01.png); background-position: left top; background-repeat: no-repeat; }#iguru_infobox_6149577e32acb .infobox_wrapper { padding-right: 40px !important; }#iguru_infobox_6149577e32acb .infobox_icon_container { margin-bottom: 7px !important;margin-left: -14px !important; }#iguru_infobox_6149577e32f2b .infobox_icon { color: #4073a5; }#iguru_infobox_6149577e32f2b .infobox_wrapper:hover .infobox_icon { color: #dd3333; }#iguru_infobox_6149577e32f2b .infobox_icon_container { background-image: url(https://www.learnbay.co/data-science-course/wp-content/uploads/2019/09/icon_bg-02.png); background-position: left top; background-repeat: no-repeat; }#iguru_infobox_6149577e32f2b .infobox_wrapper { padding-right: 40px !important; }#iguru_infobox_6149577e32f2b .infobox_icon_container { margin-bottom: 7px !important;margin-left: -14px !important; }#iguru_infobox_6149577e33316 .infobox_icon { color: #4073a5; }#iguru_infobox_6149577e33316 .infobox_wrapper:hover .infobox_icon { color: #dd3333; }#iguru_infobox_6149577e33316 .infobox_icon_container { background-image: url(https://www.learnbay.co/data-science-course/wp-content/uploads/2019/09/icon_bg-02.png); background-position: left top; background-repeat: no-repeat; }#iguru_infobox_6149577e33316 .infobox_wrapper { padding-right: 40px !important; }#iguru_infobox_6149577e33316 .infobox_icon_container { margin-bottom: 7px !important;margin-left: -14px !important; }@media only screen and (max-width: 767px){ #iguru_spacer_6149577e33791 .spacing_size{ display: none; } #iguru_spacer_6149577e33791 .spacing_size-mobile{ display: block; } }@media only screen and (max-width: 1200px){ #iguru_spacer_6149577e3c138 .spacing_size{ display: none; } #iguru_spacer_6149577e3c138 .spacing_size-desktops{ display: block; } }#iguru_button_6149577e3c262 .wgl_button_link { border-width: 2px; }#iguru_button_6149577e3c262 .wgl_button_link { color: #1e73be; }#iguru_button_6149577e3c262 .wgl_button_link:hover { color: #2c2c2c; }#iguru_button_6149577e3c262 .wgl_button_link { border-color: #2458e5; background-color: #ffffff; }#iguru_button_6149577e3c262 .wgl_button_link:hover { border-color: #ff6d34; background-color: #ffffff; }#iguru_button_6149577e3c262 a { box-shadow: 0px 10px 10px 0 rgba(255,255,255,0.4) }#iguru_button_6149577e3c262 a:hover { box-shadow: 0px 10px 10px 0 rgba(255,255,255,0.4) }#iguru_button_6149577e40715 .wgl_button_link { border-width: 2px; }#iguru_button_6149577e40715 .wgl_button_link { color: #ffffff; }#iguru_button_6149577e40715 .wgl_button_link:hover { color: #2c2c2c; }#iguru_button_6149577e40715 .wgl_button_link { border-color: #ff6d34; background-color: #ff6d34; }#iguru_button_6149577e40715 .wgl_button_link:hover { border-color: #ff6d34; background-color: #ffffff; }#iguru_button_6149577e45893 .wgl_button_link { border-width: 2px; }#iguru_button_6149577e45893 .wgl_button_link { color: #ffffff; }#iguru_button_6149577e45893 .wgl_button_link:hover { color: #2c2c2c; }#iguru_button_6149577e45893 .wgl_button_link { border-color: #ff6d34; background-color: #ff6d34; }#iguru_button_6149577e45893 .wgl_button_link:hover { border-color: #ff6d34; background-color: #ffffff; }@media only screen and (max-width: 992px){ #iguru_spacer_6149577e4f7d9 .spacing_size{ display: none; } #iguru_spacer_6149577e4f7d9 .spacing_size-desktops{ display: block; } }@media only screen and (max-width: 991px){ #iguru_spacer_6149577e4f7d9 .spacing_size{ display: none; } #iguru_spacer_6149577e4f7d9 .spacing_size-tablet{ display: block; } }@media only screen and (max-width: 480px){ #iguru_spacer_6149577e4f7d9 .spacing_size{ display: none; } #iguru_spacer_6149577e4f7d9 .spacing_size-mobile{ display: block; } }#time_line_6149577e50076 .time_line-date{ color: #3aa0e8; }#time_line_6149577e50076 .time_line-check{ border-color: #3aa0e8; background: #3aa0e8; }#time_line_6149577e50076 .time_line-content:before, #time_line_6149577e50076.item_active .time_line-check{ background: #3aa0e8; }#time_line_6149577e500b5 .time_line-date{ color: #3aa0e8; }#time_line_6149577e500b5 .time_line-check{ border-color: #3aa0e8; background: #3aa0e8; }#time_line_6149577e500b5 .time_line-content:before, #time_line_6149577e500b5.item_active .time_line-check{ background: #3aa0e8; }#time_line_6149577e500d1 .time_line-date{ color: #3aa0e8; }#time_line_6149577e500d1 .time_line-check{ border-color: #3aa0e8; background: #3aa0e8; }#time_line_6149577e500d1 .time_line-content:before, #time_line_6149577e500d1.item_active .time_line-check{ background: #3aa0e8; }#time_line_6149577e500e6 .time_line-date{ color: #3aa0e8; }#time_line_6149577e500e6 .time_line-check{ border-color: #3aa0e8; background: #3aa0e8; }#time_line_6149577e500e6 .time_line-content:before, #time_line_6149577e500e6.item_active .time_line-check{ background: #3aa0e8; }@media only screen and (max-width: 1200px){ #iguru_spacer_6149577e50725 .spacing_size{ display: none; } #iguru_spacer_6149577e50725 .spacing_size-desktops{ display: block; } }#iguru_button_6149577e5089e .wgl_button_link { border-width: 2px; }#iguru_button_6149577e5089e .wgl_button_link { color: #ffffff; }#iguru_button_6149577e5089e .wgl_button_link:hover { color: #2c2c2c; }#iguru_button_6149577e5089e .wgl_button_link { border-color: #ff6d34; background-color: #ff6d34; }#iguru_button_6149577e5089e .wgl_button_link:hover { border-color: #ff6d34; background-color: #ffffff; }@media only screen and (max-width: 1200px){ #iguru_spacer_6149577e52472 .spacing_size{ display: none; } #iguru_spacer_6149577e52472 .spacing_size-desktops{ display: block; } }#iguru_button_6149577e525c5 .wgl_button_link { border-width: 2px; }#iguru_button_6149577e525c5 .wgl_button_link { color: #ffffff; }#iguru_button_6149577e525c5 .wgl_button_link:hover { color: #2c2c2c; }#iguru_button_6149577e525c5 .wgl_button_link { border-color: #ff6d34; background-color: #ff6d34; }#iguru_button_6149577e525c5 .wgl_button_link:hover { border-color: #ff6d34; background-color: #ffffff; }@media only screen and (max-width: 1200px){ #iguru_spacer_6149577e53798 .spacing_size{ display: none; } #iguru_spacer_6149577e53798 .spacing_size-desktops{ display: block; } }#iguru_img_layer_6149577e55548 .img_layer_image_wrapper:nth-child(1) .img_layer_image {transition: all 800ms; -webkit-transition-delay: 0ms; -moz-transition-delay: 0ms; -o-transition-delay: 0ms; transition-delay: 0ms;}#iguru_img_layer_6149577e55548 .img_layer_image_wrapper:nth-child(2) .img_layer_image {transition: all 800ms; -webkit-transition-delay: 600ms; -moz-transition-delay: 600ms; -o-transition-delay: 600ms; transition-delay: 600ms;}#iguru_img_layer_6149577e55548 .img_layer_image_wrapper:nth-child(3) .img_layer_image {transition: all 800ms; -webkit-transition-delay: 1200ms; -moz-transition-delay: 1200ms; -o-transition-delay: 1200ms; transition-delay: 1200ms;}#iguru_img_layer_6149577e55548 .img_layer_image_wrapper:nth-child(4) .img_layer_image {transition: all 800ms; -webkit-transition-delay: 1800ms; -moz-transition-delay: 1800ms; -o-transition-delay: 1800ms; transition-delay: 1800ms;}#iguru_button_6149577e55f11 .wgl_button_link { color: #ffffff; }#iguru_button_6149577e55f11 .wgl_button_link:hover { color: #000000; }#iguru_button_6149577e55f11 .wgl_button_link { border-color: #ff6d34; background-color: #ff6d34; }#iguru_button_6149577e55f11 .wgl_button_link:hover { border-color: #ff6d34; background-color: #ffffff; }#iguru_soc_icon_wrap_6149577e5f12b a{ background: transparent; }#iguru_soc_icon_wrap_6149577e5f12b a:hover{ background: transparent; border-color: #3aa0e8; }#iguru_soc_icon_wrap_6149577e5f12b a{ color: #acacae; }#iguru_soc_icon_wrap_6149577e5f12b a:hover{ color: #ffffff; }#iguru_soc_icon_wrap_6149577e5f12b { display: inline-block; }.iguru_module_social #soc_icon_6149577e5f15e1{ color: #ffffff; }.iguru_module_social #soc_icon_6149577e5f15e1:hover{ color: #ffffff; }.iguru_module_social #soc_icon_6149577e5f15e1{ background: #44b1e4; }.iguru_module_social #soc_icon_6149577e5f15e1:hover{ background: #44b1e4; }
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GET THE LEARNBAY ADVANTAGE FOR YOUR CAREER
Note : Our programs are suitable for working professionals(any domain). Fresh graduates are not eligible.