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Data Science & Business Analytics Program

Fast Track Course Co-developed with IBM

Our course is best suited for
professionals who is having more than 6 months of career gap and wanted to re-start their career in data science and AI.

Course Fee

50000
5 months (200+ hrs)
This course includes:

Weekend and Weekdays Batches

 7+ Real World Industry Project

From Basics to Advance

 Guaranteed Job Referrals

 Special Classes for non-programmers

Live Faculty-led Online Training

One Year Flexible Subscription

Eligibility

6+ months career gap

Certification

Accredited with IBM

Projects

7+ Real Time Projects

No Cost EMI

₹ 7k/mon* (9 months)

ABOUT COURSE
About This Program

Eligibility

Anyone who has had a career break of more than 6 months and wants to start career in data science and AI.

Job Assistance

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

Live Projects

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

Data Science & Business Analytics Fast Track Job Ready Program For Professionals

Our course is best suited for professionals who is having more than 6 months of career gap and wanted to re-start their career in data science and AI.

Course Fee

50000
5 months (200+ hrs)
This course includes:

Weekend and Weekdays Batches

 7+ Real World Industry Project

From Basics to Advance

 Guaranteed Job Referrals

 Special Classes for non-programmers

Live Faculty-led Online Training

One Year Flexible Subscription

Eligibility

6+ months career gap

Certification

Accredited with IBM

Projects

7+ Real Time Projects

No Cost EMI

₹ 7k/mon* (9 months)

ABOUT COURSE
About This Program

Eligibility

Anyone who has had a career break of more than 6 months and wants to start career in data science and AI.

Job Assistance

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

Live Projects

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

  Designed for Working Professionals

  Real-Time Use Cases from Multiple Domains

  Industrial Certificate which is accredited with IBM

  One-on-One with Industry Mentors

  Guaranteed Job Referrals For Working Professionals

  Interview Prep Session And Mock Interview

  Industry Accredited Global Certification Course

  7+ Industry Projects & 1 capstone

  Special Classes For Non-Programming Background

   Interest Free Loan and No Cost EMI on Credit cards

Key Highlights
Program Overview

  Designed for Working Professionals

  Real-Time Use Cases from Multiple Domains

  Industrial Certificate which is accredited with IBM

  One-on-One with Industry Mentors

  Guaranteed Job Referrals For Working Professionals

  Interview Prep Session And Mock Interview

  Industry Accredited Global Certification Course

  7+ Industry Projects & 1 capstone

  Special Classes For Non-Programming Background

   Interest Free Loan and No Cost EMI on Credit cards

TOP SKILLS
Top Skills You Will Learn

Top Skills You Will Learn

Predictive Analytics using Python, Machine Learning, Data Visualization, Big Data, Natural Language Processing

Job Opportunities

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

Details About Real Time Projects.

1 Capstone Project and 7+ Real-time projects from multiple domains help you to showcase practical skills to the recruiter and get your dream job.

Minimum Eligibility

1+ year of work exp. in any domain
TOP SKILLS
Top Skills You Will Learn

Top Skills You Will Learn

Predictive Analytics using Python, Machine Learning, Data Visualization, Big Data, Natural Language Processing

Job Opportunities

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

Details About Real Time Projects.

1 Capstone Project and 7+ Real-time projects from multiple domains help you to showcase practical skills to the recruiter and get your dream job.

Minimum Eligibility

1+ year of work exp. in any domain

Download Program Brochure

FEATURES
Course Features
Program Eligibility

Who should take our course? Anyone who has had a career break of more than 6 months and wants to start career in data science and AI. We have a different course for Programmers & Core tech background professionals. (AI and ML).

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 designed for non-programmers and non-technical domain professionals which helps you to learn programming concepts easily.

Who Should Apply

Software developers/Programmers, Project Managers, Manual And Automation Test Engineer, Java and .net Developer, Informatica, Business Analyst.

Database Admin, System Admin, Professionals from Sales, Marketing, Operations.SAP domain expert, Python , Embedded developer , Android/ios developer.

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

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: 6 Months

Monday – Friday – 2 hours every day

Weekend Batches: 7.5 Months

Saturday & Sunday – 4 hours every day

Program Fee: Rs. 50,000/-

INTEREST-FREE INSTANT LOAN WITHOUT CREDIT CARD

NO COST EMI ON MAJOR CREDIT CARDS

Hybrid Model Classes

Attain 1 Capstone & 7+ Real Time Data Analytics and Business Analytics 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

Introduction to Programming 3hr

What is a programming language ? Source code Vs bytecode Vs machine code
Compiler Vs Interpreter ,C/C++, Java Vs Python

Jupyter notebook basics 1hr

Different type of code editors in python introduction to Anaconda and
jupyter notebookFlavours of python.

Python Programming Basics 2hr

Variable Vs identifiers Vs strings, Operators Vs operand Procedure
oriented Vs modular programming

Statistics basics 2hr

Introduction to statisticsMean,median, mode, Standard deviation,
AverageIntroduction to probability,permutations and
combinationsIntroduction to linear Algebra

Git and GitHub 2hr

Learn the key concepts of the Git source control system,Configure SSH for authentication,Create and use a remote repository on GitHub,Git Overview

Tools Covered

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

R programming hr

Installing R and R Studio,Setting up the environment,R Datatypes, Operators, Variables Coercion rules in R Functions and arguments Matrices Data Frame Constants,Data Inputs and Outputs with R,Vectors and Vector operation,Advanced Visualization,Using the script vs. using the console

Data Manipulation hr

Vector Manipulation & Sub Setting,List Manipulation, Sub Setting & Merging,Matrix Manipulation, rep fn & Data Frame,Data transformation with R – the Dplyr package ,Sampling data with the Dplyr package,Using the pipe operator in R Tidying data in R – gather() and separate(),Tidying data in R – unite() and spread(),Melting & Casting,String Manipulation with Stringi Package,Data Definition Language Commands,Data Manipulation Language Commands

Visualization in R hr

Introduction to ggplot2,Building a histogram with ggplot2,Building a bar chart with ggplot2,Building a box and whiskers plot with ggplot2,Building a scatterplot with ggplot2,Low Level Plotting,Timeseries Plots,Bar Plot & Density Plot,Combining Plots,MatPlot, ECDF & BoxPlot with IRIS Data set,QPlot, ViolinPlot, Statistical Methods & Correlation Analysis Set.Seed Function & Preparing Data for Plotting

Data Preparation hr

How to handle Missing Data,Data Filtering using is.na() and which(),Reseting the dataframe index,Replacing Missing Data,Median Imputation Method,Factual Analysis Method,Deriving Values Method,Visualizing results in R

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

What is Time Series & Forecasting 8hr

Introduction,Forecasting model creation,Time Series – Basic Notations
Graphical Displays,Numerical Description of Time Series Data,Feature Engineering Basics Resampling,Use of Data Transformations and Adjustments,General Approach to Time Series Modeling and Forecasting, Evaluating and Monitoring Forecasting Model Performance,White Noise,Differencing ,Random Walk

Basic Properties,Linear Processes,Introduction to ARIMA Processes,SARIMA model,Test Train Split,Auto Regression Model,Spectral Analysis,Nonstationary and Seasonal Time Series Models,Multivariate Time Series,State-Space Models

Forecasting Techniques hr

The ARAR Algorithm,The Holt–Winters Algorithm,The Holt–Winters Seasonal Algorithm,Choosing a Forecasting Algorithm,Introduction to Neural Networks,Creating Perceptron model,Gradient Descent,Back Propagation,Hyperparameters

Transfer Function Models,Intervention Analysis,Long-Memory Models
Random Variables and Probability Distributions,Distribution Functions and Expectation,Random Vectors,The Multivariate Normal Distribution,Mean Square Convergence

Basics hr

Creating a New Workbook,Navigating in Excel ,Moving the Cell Pointer
Using Excel Menus,Using Excel Toolbars: Hiding, Displaying, and Moving Toolbars Entering Values in a Worksheet and Selecting a Cell Range ,Previewing and Printing a Worksheet Saving a Workbook & Re-opening a saved workbook

Formatting a Worksheet hr

Creating Headers, Footers, and Page Numbers,Adjusting Page Margins and Orientation,Adding Print Titles and Gridlines, rows to repeat at top of each page,Formatting Fonts & Values,Adjusting Row Height and Column Width,Changing Cell Alignment,Adding Borders ,Applying Colors and Patterns,Using the Format Painter
Merging Cells, Rotating Text Using Auto Fill

Managing your workbooks hr

Switching Between Sheets in a Workbook ,Inserting and Deleting Worksheets
Renaming and Moving Worksheets ,Protecting a Workbook ,Hiding Columns, Rows and Sheets,Splitting and Freezing a Window ,Inserting Page Breaks,Advanced Printing Options

Editing a Workbook hr

Entering Date Values and using AutoComplete ,Editing, Clearing, and Replacing Cell Contents Cutting, Copying, and Pasting Cells Moving and Copying Cells with Drag and Drop,Collecting and Pasting Multiple Items Using the Paste Special Command Inserting and Deleting Cells, Rows, and Columns Using Undo, Redo, and Repeat Checking Your Spelling Finding and Replacing Information ,Inserting Cell Comments

Formulas hr

Formulas Creating a basic Formula,Cell Referencing,Calculating Value Totals with AutoSum Editing & Copying Formulas ,Fixing Errors in Your Formulas
Formulas with Several Operators and Cell Ranges ,Conditional Formatting

Working with the Forms Menu hr

Working with the Forms Menu ,Sorting, Subtotaling & Filtering Data
Copy & Paste Filtered Records ,Using Data Validation

Creating & Working with Charts hr

Creating a Chart ,Moving and Resizing a Chart,Formatting and Editing Objects in a Chart,Changing a Chart’s Source Data,Changing a Chart Type and Working with Pie Charts,Adding Titles, Gridlines, and a Data Table ,Formatting a Data Series and Chart Axis,Using Fill Effects

Data Analysis & Pivot Tables hr

Creating a PivotTable ,Specifying the Data a PivotTable Analyzes,Changing a PivotTable’s Calculation,Selecting What Appears in a PivotTable ,Grouping Dates in a PivotTable ,Updating a PivotTable,Formatting and Charting a PivotTable

Automating Tasks with Macros hr

Recording a Macro
Playing a Macro and Assigning a Macro a Shortcut Key

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

Grouping, Sorting, Aggregating hr

Count, Distinct, Sum, Min, Max, Avg,Group by, HAVING, Sort, Limit, ORDER BY, AS,Funnels, YOY revenue, and Sales by Location,Conditional Statements,Subqueries
VIEWS INDEXES

Mathematical Functions hr

CEIL & FLOOR,POWER,RANDOM,ROUND,SETSEED

Date & Time Functions hr

CURRENT DATE & TIME,EXTRACT,AGE

String Function hr

LENGTH,REPLACE,UPPER,LOWER,SUBSTRING,CONCATENATION,TRIM, LTRIM, RTRIM
PATTERN MATCHING,REGULAR EXPRESSIONS

Basics and CRUD Operation hr

Databases, Collection & Documents,Shell & MongoDB drivers,What is JSON Data
Create, Read, Update, Delet,Working with Arrays,Understanding Schemas and Relations

MongoDB hr

What is MongoDB? Charateristics, Structure and Features,MongoDB Ecosystem
Installation process,Connecting to MongoDB database,What are ObjectIds in MongoDb
Data Formats in MongoDB,MongoDB Aggregation Framework,Aggregating Documents
What are MongoDB Drivers?,Finding, Deleting, Updating,Inserting Elements

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

Visual Analytics hr

Getting Started With Visual Analytics,Sorting and grouping Working with sets, set action,Filters: Ways to filter, Interactive Filters,Forecasting and Clustering
Hands-on: Hands on the deployment of Predictive
model in visualization

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

Basic Aggregations and Row Level vs. View Level Expressions
Basic Calculations vs. Table Calculations,Fixed vs. Include,Fixed vs. Exclude

Introduction to Dashboards,Navigating a Dashboard,Building the Dashboard
Device Customization,Formatting,Dashboard Creation,Building Stories

Getting Started With Power BI hr

Installing Power BI Desktop and Connecting to Data Overview of the Workflow in Power BI Desktop,Introducing the Different Views of the Data Mode,Query Editor Interface Working on Data Model

Import data from Excel files,Import data from CSV files,Import Real-time Streaming Data,Import from Web,Import data from SQL Server,Import Data from Folder,Import data from OData feed REST-API,Download and Install SQL Server Express,Download and Install Sample Databases,All about Data Flows

Programming with Power BI hr

Working with Timeseries,Understanding aggregation and granularity,Filters and Slicers in Power BI,Maps, Scatterplots and BI Reports,Connecting Dataset with Power BI,Creating a Customer Segmentation Dashboard,Analyzing the Customer Segmentation Dashboard,Waterfall, Map Visualization,Pie and Tree Map,Include and Exclude, Categories with no Data

Power Queries hr

Remove rows and columns,Create calculate columns,Make first row as headers
Change Data type, Replace Values and Rearrange the columns,Remove duplicates
Unpivot columns and split columns,Append Queries,Merge Queries

Power BI Visuals hr

PowerBI Visuals Introduction Visuals-Line Charts,Visuals-Pie Chart,Visuals-Bar Charts
Stacked bar Chart,Clustered Column Chart,Visuals-Combo Chart,Visuals-Treemap Chart
Visuals-funnel Chart,Visuals-Scatter Chart

Visuals-Gauge Card,Visuals-Matrix,Visuals-Table,Visuals-Slicers
Visuals-KPIs,Visuals-Maps

Visuals-Text boxes – Shapes – Images

Modelling hr

Creating your first report,Modelling Basics to Advance,Modelling and Relationship,Ways of creating relationship,Normalization – Denormalization OLTP vs OLAP,Star Schema vs Snowflake Schema

DAX using Power BI hr

What is Dax,Dax Data Types,Dax Operators and Syntax,Importing Data for Dax Learning,Resources for Dax Learning M vs Dax,Create a Column,Rules to Create Measures,Calculated Columns vs Calculated Measures,SUM, AVERAGE, MIN, MAX, SUMX, COUNT, DIVIDE, COUNT, COUNTROOMS, CALCULATE, FILTER, ALL

Time Intelligence hr

Create Date Table in M,Create Date Table in DAX,Display Last Refresh Date
SAMEPERIODLASTYEAR,TOTALYTD,DATEADD,PREVIOUSMONTH

Project :Indian Road Analysis

Find out how much investment is requirement in national highways to meet its economic needs as a part of infrastructural development as the road network of India is second largest road network in The World.

Project : Credit Card Eligibility of Customers

Study how Predictive Analytics will be implemented to evaluate a customer’s ability to repay and whether or not they can be given a credit card.

Project : Netflix Movies and TV Shows

Explore what all other insights can be obtained from the list of tv shows and movies available on Netflix. Network analysis of Actors / Directors and find interesting information.

Project : Predictions for app ratings on the Google Play store

Create a model to forecast an app’s rating, along with other app-related details to increase the app’s exposure.

Project : Smart Supply Chain

A DataSet of Supply Chains used by the company DataCo Global is used for the analysis. It also allows the correlation of Structured Data with Unstructured Data for knowledge generation.

Project : Forecasting Uber Demand

Create an interactive dashboard using Tableau, used to get historical insights into a neighborhood. Ex, see upcoming forecasted demand, increase the accuracy, decrease surge pricing events.

Project : IBM HR Analytics

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.

Project :Consumer Reviews of Amazon Products

The goal is to analyze Amazon’s most successful consumer electronics product launches, discover insights into consumer reviews.

200+

Content Hours Available

20+

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

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.
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 1

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
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.

Is there any discounts available ?What about group discounts?

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.

What if I did not receive a password reset message?

Whether you want to develop as a professional or discover a new hobby, there’s an online course for that.

What if I did not receive a password reset message?

Whether you want to develop as a professional or discover a new hobby, there’s an online course for that.

What if I did not receive a password reset message?

Whether you want to develop as a professional or discover a new hobby, there’s an online course for that.

What if I did not receive a password reset message?

Whether you want to develop as a professional or discover a new hobby, there’s an online course for that.

What if I did not receive a password reset message?

Whether you want to develop as a professional or discover a new hobby, there’s an online course for that.

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. A 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 & Business Analytics Program

50,000.00

IBM certified Business Analytics & Data Analytics Program For Working Professional to Change Your Existing Domain and start your career in Business Analytics .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

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

#iguru_button_61496696c9018 .wgl_button_link { color: rgba(255,255,255,1); }#iguru_button_61496696c9018 .wgl_button_link:hover { color: rgba(255,255,255,1); }#iguru_button_61496696c9018 .wgl_button_link { border-color: transparent; background-color: rgba(255,149,98,1); }#iguru_button_61496696c9018 .wgl_button_link:hover { border-color: rgba(230,95,42,1); background-color: rgba(253,185,0,1); }#iguru_button_61496696cdec3 .wgl_button_link { color: rgba(241,241,241,1); }#iguru_button_61496696cdec3 .wgl_button_link:hover { color: rgba(250,249,249,1); }#iguru_button_61496696cdec3 .wgl_button_link { border-color: rgba(102,75,196,1); background-color: rgba(48,90,169,1); }#iguru_button_61496696cdec3 .wgl_button_link:hover { border-color: rgba(102,75,196,1); background-color: rgba(57,83,146,1); }#iguru_pricing_plan_61496696d7447 .pricing_title { color: #ffffff; }#iguru_pricing_plan_61496696d7447 .pricing_price_wrap .pricing_price { color: #ffffff; }#iguru_pricing_plan_61496696d7447 .pricing_cur { color: #ffffff; }#iguru_pricing_plan_61496696d7447 .pricing_desc { color: #ffffff; }#iguru_pricing_plan_61496696d7447 .pricing_desc { background-color: #333949; }#iguru_pricing_plan_61496696d7447 .pricing_content { background-color: #ffffff; }#iguru_pricing_plan_61496696d7447 .pricing_footer { background-color: #ffffff; }#iguru_button_61496696d7815 .wgl_button_link { color: #ffffff; }#iguru_button_61496696d7815 .wgl_button_link:hover { color: #ed3836; }#iguru_button_61496696d7815 .wgl_button_link { border-color: #ed3836; background-color: #ed3836; }#iguru_button_61496696d7815 .wgl_button_link:hover { border-color: #ed3836; background-color: #ffffff; }#iguru_infobox_61496696d87b9 .infobox_icon { color: #00bda6; }#iguru_infobox_61496696d87b9 .infobox_wrapper:hover .infobox_icon { color: #dd3333; }#iguru_infobox_61496696d87b9 .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_61496696d87b9 .infobox_wrapper { padding-right: 40px !important; }#iguru_infobox_61496696d87b9 .infobox_icon_container { margin-bottom: 7px !important;margin-left: -14px !important; }#iguru_infobox_61496696d8c2b .infobox_icon { color: #00bda6; }#iguru_infobox_61496696d8c2b .infobox_wrapper:hover .infobox_icon { color: #dd3333; }#iguru_infobox_61496696d8c2b .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_61496696d8c2b .infobox_wrapper { padding-right: 40px !important; }#iguru_infobox_61496696d8c2b .infobox_icon_container { margin-bottom: 7px !important;margin-left: -14px !important; }#iguru_infobox_61496696d9044 .infobox_icon { color: #00bda6; }#iguru_infobox_61496696d9044 .infobox_wrapper:hover .infobox_icon { color: #dd3333; }#iguru_infobox_61496696d9044 .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_61496696d9044 .infobox_wrapper { padding-right: 40px !important; }#iguru_infobox_61496696d9044 .infobox_icon_container { margin-bottom: 7px !important;margin-left: -14px !important; }#iguru_pricing_plan_61496696da635 .pricing_title { color: #ffffff; }#iguru_pricing_plan_61496696da635 .pricing_price_wrap .pricing_price { color: #ffffff; }#iguru_pricing_plan_61496696da635 .pricing_cur { color: #ffffff; }#iguru_pricing_plan_61496696da635 .pricing_desc { color: #ffffff; }#iguru_pricing_plan_61496696da635 .pricing_desc { background-color: #333949; }#iguru_pricing_plan_61496696da635 .pricing_content { background-color: #ffffff; }#iguru_pricing_plan_61496696da635 .pricing_footer { background-color: #ffffff; }#iguru_button_61496696da8e5 .wgl_button_link { color: #ffffff; }#iguru_button_61496696da8e5 .wgl_button_link:hover { color: #ed3836; }#iguru_button_61496696da8e5 .wgl_button_link { border-color: #ed3836; background-color: #ed3836; }#iguru_button_61496696da8e5 .wgl_button_link:hover { border-color: #ed3836; background-color: #ffffff; }#iguru_infobox_61496696db5a6 .infobox_icon { color: #00bda6; }#iguru_infobox_61496696db5a6 .infobox_wrapper:hover .infobox_icon { color: #dd3333; }#iguru_infobox_61496696db5a6 .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_61496696db5a6 .infobox_wrapper { padding-right: 40px !important; }#iguru_infobox_61496696db5a6 .infobox_icon_container { margin-bottom: 7px !important;margin-left: -14px !important; }#iguru_infobox_61496696dba0d .infobox_icon { color: #00bda6; }#iguru_infobox_61496696dba0d .infobox_wrapper:hover .infobox_icon { color: #dd3333; }#iguru_infobox_61496696dba0d .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_61496696dba0d .infobox_wrapper { padding-right: 40px !important; }#iguru_infobox_61496696dba0d .infobox_icon_container { margin-bottom: 7px !important;margin-left: -14px !important; }#iguru_infobox_61496696dbe0d .infobox_icon { color: #00bda6; }#iguru_infobox_61496696dbe0d .infobox_wrapper:hover .infobox_icon { color: #dd3333; }#iguru_infobox_61496696dbe0d .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_61496696dbe0d .infobox_wrapper { padding-right: 40px !important; }#iguru_infobox_61496696dbe0d .infobox_icon_container { margin-bottom: 7px !important;margin-left: -14px !important; }@media only screen and (max-width: 767px){ #iguru_spacer_61496696dc2cc .spacing_size{ display: none; } #iguru_spacer_61496696dc2cc .spacing_size-mobile{ display: block; } }@media only screen and (max-width: 1200px){ #iguru_spacer_61496696e4c36 .spacing_size{ display: none; } #iguru_spacer_61496696e4c36 .spacing_size-desktops{ display: block; } }#iguru_button_61496696e4d5d .wgl_button_link { border-width: 2px; }#iguru_button_61496696e4d5d .wgl_button_link { color: #1e73be; }#iguru_button_61496696e4d5d .wgl_button_link:hover { color: #2c2c2c; }#iguru_button_61496696e4d5d .wgl_button_link { border-color: #2458e5; background-color: #ffffff; }#iguru_button_61496696e4d5d .wgl_button_link:hover { border-color: #ff6d34; background-color: #ffffff; }#iguru_button_61496696e4d5d a { box-shadow: 0px 10px 10px 0 rgba(255,255,255,0.4) }#iguru_button_61496696e4d5d a:hover { box-shadow: 0px 10px 10px 0 rgba(255,255,255,0.4) }#iguru_button_61496696ea02a .wgl_button_link { border-width: 2px; }#iguru_button_61496696ea02a .wgl_button_link { color: #ffffff; }#iguru_button_61496696ea02a .wgl_button_link:hover { color: #2c2c2c; }#iguru_button_61496696ea02a .wgl_button_link { border-color: #ff6d34; background-color: #ff6d34; }#iguru_button_61496696ea02a .wgl_button_link:hover { border-color: #ff6d34; background-color: #ffffff; }#iguru_button_61496696ef12e .wgl_button_link { border-width: 2px; }#iguru_button_61496696ef12e .wgl_button_link { color: #ffffff; }#iguru_button_61496696ef12e .wgl_button_link:hover { color: #2c2c2c; }#iguru_button_61496696ef12e .wgl_button_link { border-color: #ff6d34; background-color: #ff6d34; }#iguru_button_61496696ef12e .wgl_button_link:hover { border-color: #ff6d34; background-color: #ffffff; }@media only screen and (max-width: 992px){ #iguru_spacer_61496696f3b96 .spacing_size{ display: none; } #iguru_spacer_61496696f3b96 .spacing_size-desktops{ display: block; } }@media only screen and (max-width: 991px){ #iguru_spacer_61496696f3b96 .spacing_size{ display: none; } #iguru_spacer_61496696f3b96 .spacing_size-tablet{ display: block; } }@media only screen and (max-width: 480px){ #iguru_spacer_61496696f3b96 .spacing_size{ display: none; } #iguru_spacer_61496696f3b96 .spacing_size-mobile{ display: block; } }#time_line_6149669701e5a .time_line-date{ color: #3aa0e8; }#time_line_6149669701e5a .time_line-check{ border-color: #3aa0e8; background: #3aa0e8; }#time_line_6149669701e5a .time_line-content:before, #time_line_6149669701e5a.item_active .time_line-check{ background: #3aa0e8; }#time_line_6149669701e8b .time_line-date{ color: #3aa0e8; }#time_line_6149669701e8b .time_line-check{ border-color: #3aa0e8; background: #3aa0e8; }#time_line_6149669701e8b .time_line-content:before, #time_line_6149669701e8b.item_active .time_line-check{ background: #3aa0e8; }#time_line_6149669701ea2 .time_line-date{ color: #3aa0e8; }#time_line_6149669701ea2 .time_line-check{ border-color: #3aa0e8; background: #3aa0e8; }#time_line_6149669701ea2 .time_line-content:before, #time_line_6149669701ea2.item_active .time_line-check{ background: #3aa0e8; }#time_line_6149669701eb2 .time_line-date{ color: #3aa0e8; }#time_line_6149669701eb2 .time_line-check{ border-color: #3aa0e8; background: #3aa0e8; }#time_line_6149669701eb2 .time_line-content:before, #time_line_6149669701eb2.item_active .time_line-check{ background: #3aa0e8; }@media only screen and (max-width: 1200px){ #iguru_spacer_6149669702390 .spacing_size{ display: none; } #iguru_spacer_6149669702390 .spacing_size-desktops{ display: block; } }#iguru_button_61496697024a9 .wgl_button_link { border-width: 2px; }#iguru_button_61496697024a9 .wgl_button_link { color: #ffffff; }#iguru_button_61496697024a9 .wgl_button_link:hover { color: #2c2c2c; }#iguru_button_61496697024a9 .wgl_button_link { border-color: #ff6d34; background-color: #ff6d34; }#iguru_button_61496697024a9 .wgl_button_link:hover { border-color: #ff6d34; background-color: #ffffff; }@media only screen and (max-width: 1200px){ #iguru_spacer_6149669703c70 .spacing_size{ display: none; } #iguru_spacer_6149669703c70 .spacing_size-desktops{ display: block; } }#iguru_img_layer_61496697058bf .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_61496697058bf .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_61496697058bf .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_61496697058bf .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_61496697062e6 .wgl_button_link { color: #ffffff; }#iguru_button_61496697062e6 .wgl_button_link:hover { color: #000000; }#iguru_button_61496697062e6 .wgl_button_link { border-color: #ff6d34; background-color: #ff6d34; }#iguru_button_61496697062e6 .wgl_button_link:hover { border-color: #ff6d34; background-color: #ffffff; }#iguru_soc_icon_wrap_614966970db3d a{ background: transparent; }#iguru_soc_icon_wrap_614966970db3d a:hover{ background: transparent; border-color: #3aa0e8; }#iguru_soc_icon_wrap_614966970db3d a{ color: #acacae; }#iguru_soc_icon_wrap_614966970db3d a:hover{ color: #ffffff; }#iguru_soc_icon_wrap_614966970db3d { display: inline-block; }.iguru_module_social #soc_icon_614966970db6f1{ color: #ffffff; }.iguru_module_social #soc_icon_614966970db6f1:hover{ color: #ffffff; }.iguru_module_social #soc_icon_614966970db6f1{ background: #44b1e4; }.iguru_module_social #soc_icon_614966970db6f1: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.