Get industry exposure and get yourself placed

Business analytics course with certification

Learn business analytics fundamentals by enrolling in our business analytics course. Besides, gain valuable experience working on top-tier industry-collaborated projects.

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320 Hrs

Online Live classes

10+ Projects

Learn from Projects

9 Apr 2022

Next Cohort Starts

Starting 5,408/month

Easy No cost EMIs

Land in your dream job with real work experience

Program Features Of

Business analytics course

Certification for projects

Bring your own projects and receive the assistance you need to complete them. Besides, get project certification from well-known startups.

Tailor-made courses

Most importantly, you will be able to design your own course to meet your individual learning requirements and goals.

100% Job Guarantee

Get 100% Job Guarantee with interview training and resume building assistance. Also, get free career counseling services and mentorship.

Program subscription

Above all, with a three-year membership, you will have access to the business analytics course for three years.

Land in your dream job with real work experience

Upskill your career with India's best Industry experience training provider

Get to know in detail about our

Business analytics certification course

Basic

₹ 55,000 + GST

Pro

₹ 75,000 + GST

Pro Max

₹ 1,05,000 + GST

Gain real-work experience from AI companies

How to achieve Real Work Experience

complete required modules. for projects

Custom-made courses

Self-designable courses to fit your career goals

Start your project with ai compnies to Learn Data science

Real-time experience

Work in real-time AI & ML projects

GET MENTORED- by skillslash expert For Data science career and Projects

Expert project assistance

Bring your own projects and get support

Data science and Artificial Intelligence course Project Experience Certificate

Certification for projects

Direct project certification from AI Startups

Get Hired

Work on live projects to get hired at:

theorax
Tcs_logo
Nobroker_logo
crued
Flipkart_logo
wipro_logo
juspay
Vodafone_logo
Nerodynamics_logo
acenture_logo
HSBC_logo
capgemini_logo
Microsoft_logo
rupeek
Zoho_logo
Samsung_logo
Myntra_logo
HCL_logo
Astrozeneca
amazon_logo

Project certification from top AI firms

 Cooperate with companies and work in projects to obtain project experience certificate. In addition, start stepping up for your dream career in the field of data science.

  • Work on real-time projects with AI firms to gain practical experience.
  • Collaborate with well-known companies on projects from inception to end. Further, overcome obstacles along the way.
  • Get comprehensive from the best business analytics institute in Bangalore. Also, strengthen your confidence to appear in interviews of multinational companies.

Project certification from top AI firms

Learn From Best

Our Experts Are From

Skillslash’s unique training

Why gain real work experience?

Skillslash’s unique training

Why gain real work experience?

Basically, most courses only teach students the fundamentals. However, under Skillslash’s business analytics course we focus on the actual work experience. Because, work experience can be useful in several ways. Some of which are given below:

Basically, most courses only teach students the fundamentals. However, under Skillslash’s business analytics course we focus on the actual work experience. Because, work experience can be useful in several ways. Some of which are given below:

Syllabus

Business analytics course curated by leading faculties and industry leaders to provide pratical learning experience with live interactive classes and projects

Program Highlights
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Edit

Source code Vs bytecode Vs machine code, Compiler Vs Interpreter, C/C++, Java Vs Python.

Different type of code editors in python, Introduction to Anaconda and IDEs

Variable Vs Identifiers, Strings Operators Vs Operand, Procedure oriented Vs Modular programming.

Measures of Central Tendency & dispersion, Inferential statistics and Sampling theory.

Edit
  • Different types of Programming Language
  • What is Compiler?
  • What is an Interpreter?
  • How a Python Program runs on our system?
  • Features of Python Memory Management in Python
  • Different Implementations of Python.
  • Conditional Statement
  • Loop Statement.
  • Linting, formatting
  • understanding Python code
  • Command Line Arguments
  • Python Operators.
  • Working with functions
  • Parameters vs Arguments
  • Namespace vs Scope
  • Function call vs Function referencing.
  • Introduction to Exception Handling
  • Type of Errors
  • Nested try-except block & Defau it except for block.
  • Introduction to Exception Handling
  • Type of Errors
  • Nested try-except block & Defau it except for block.
  • Use of File Handling?

  • Type of Files, File Operation

  • What is File Handling?

  • Why do we need File Handling?

  • Type of Files,

  • File Operation.

  • Intro & use of Regular Expression?

  • Regex module & important methods

  • Regex pattern and it's interpretation.

  • Intro & use of numpy
  • What is an array?
  • Array Operations using Numpy
  • Numpy and Scipy
  • Numpy and Pandas.
  • Num py vs Pandas

  • Exporting Dataframe to CSV and Excel

  • EDA using Pandas

  • Lines & markers
  • Figures, Axes and subplots
  • Watermark, shapes, polygons and arrows Color maps
  • Autocorrelation study.
  • Working with seaborn on titanic dataset

  • Introduction & installation

  • Controlling figure asthetics

  • Different plots in sea born.

  • Plotly, Pygal, Geopltlib etc

Edit
  • Introduction to Probability Principles
  • Random Variables and Probability principles
  • Discrete Probability Distributions - Binomial, Poisson etc
  • Continuous Probability Distributions - Gaussian, Normal, etc
  • Joint and Conditional Probabilities
  • Bayes theorem and its applications
  • Central Limit Theorem and Applications
  • Elements of Descriptive Statistics
  • Measures of Central tendency and Dispersion
  • Inferential Statistics fundamentals
  • Sampling theory and scales of measurement
  • Covariance and correlation
  • Basic Concepts - Formulation of Hypothesis, Making a decision
  • Advanced Concepts - Choice of Test - t test vs z test
  • Evaluation of Test - P value and Critical Value approach
  • Confidence Intervals, Type 1 and 2 errors
  • Ingest data
  • Data cleaning
  • Outlier detection and treatment
  • Missing value imputation
  • Capstone project for Business Analysis
Edit
  • Types of Learning - Supervised, Unsupervised and Reinforcement
  • Statistics vs Machine Learning
  • Types of Analysis - Descriptive, Predictive, and Prescriptive
  • Bias Variance Tradeoff - Overfitting vs Underfitting
  • Correlation vs Causation
  • Simple and Multiple linear regression
  • Linear regression with Polynomial features
  • What is linear in Linear Regression?
  • OLS Estimation and Gradient descent
  • Model Evaluation Metrics for regression problems - MAE, RMSE, MSE, and MAP
  • Introduction to Classification problems
  • Logistic Regression for Binary problems
  • Maximum Likelihood estimation
  • Data Imbalance and redressal methodology
  • Up sampling, Down sampling and SMOTE
  • Introduction to Unsupervised Learning
  • Hierarchical and Non-Hierarchical techniques
  • K Means Algorithms - Partition based model for clustering
  • Model Evaluation metrics – Clustering
  • Introduction to KNNs
  • KNNs as a classifier
  • Non-Parametric algorithms and Lazy learning ideology
  • Applications in Missing value imputes and Balancing datasets
  • Introduction to regularization
  • Understanding ridge regression
  • Working with Lasso regression
  • Tackling multicollinearitywith regression
  • Nonlinear models for classification
  • Intro to decision trees
  • Why are they called Greedy Algorithms?
  • Information Theory - Measures of Impurity
  • Introduction to Bagging as an Ensemble technique
  • Bootstrap Aggregation and Out of Bag error
  • Random Forests and its Applications in Feature selection
  • How Bagging overcomes the overfitting problem?
  • Scent and Boosting
  • How Boosting overcomes the Bias - Variance Tradeoff
  • Gradient Boosting and Xgboost as regularised boosting
  • Introduction to Expectation— Maximization Algorithms

  • The kernel tricks

  • Linear, Polynomia, and RBF kernels, SVMs for regression and classification

  • Applications in Multiclass classification.

  • Naive Bayes for Text classification

  • Bag of words and TF-IDF algorithm

  • Multinomial and Gaussian Naive Bayes, Bayesian Belief networks and Path models.

  • Intro to Time series
  • Autocorrelation and ACF/PACF plots
  • The Random Walk model and Stationarity of Time Series
  • Tests for Stationarity - ADF and Dickey- Fuller test, AR, MA, ARIMA, SARIMA models
  • A regression approach to time series forecasting.
  • Feature engineering & selection techniques
  • Principal Component Analysis
  • Linear Discriminant Analysis
  • Serving the model via Rest API & Keras.
Edit
  • Working with MySQL, DDL, TCL, DML commands

  • Relational and database schema

  • Working with keys

  • Database manipu lation, management, and administration

  • 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.

  • SELECT Statement.
  • COUNT.
  • SELECT WHERE.
  • ORDER BY.
  • IN, NOT IN.
  • NULL and NOT_NULL.
  • Comparison Operators (=, >, >=, <=).
  • MySQL Warnings (Understand and Debug).
  • SELECT DISTINCT.
  • LIKE, NOT LIKE, ILIKE.
  • LIMIT.
  • BETWEEN.
  • BETWEEN – AND
  • Introduction to database

  • Creating Data base

  • Dropping Database

  • Using Database

  • Introduction to Tables

  • Data types in SQL

  • Use case of different data

  • Working with tables

  • Coding best practices in SQL.

  • Introduction to JOINs

  • Types of JOINS

  • Usage of different types of JOINS

  • Loading Data

  • Usage of string functions like; CONCAT, SUBSTRING etc

  • INNER join,

    OUTER join, Full join, Left Join, Right Join, UNION.

  • Data bases

  • Collection & Documents

  • Shell & MongoDB drivers

  • What is JSON Data

  • Create, Read, Update, Delete

  • Working with Arrays

  • Understanding Schemas and Relations.

  • Multiple INSERT

  • INSERT INTO. GROUP BY HAVING

  • WHERE vs HAVING, UPDATE, DELETE, AS

  • EXISTS-NOT EXISTS

  • Application of g roup by

  • Count function, MIN and MAX, Sum Function, Avg Function

  • Local, Session

  • Global Variables

  • Timestamps and Extract

  • CURRENT DATE & TIME

  • EXTRACT AGE, TO CHAR

  • Mathematical Functions and Operators,

  • CEIL & FLOOR, POWER, RANDOM

  • ROUND, SETSEED

  •  

    Operators and their precedence.

  • What is MongoDB?
  • Characteristics, Structure and Features.
  • MongoDB Ecosystem.
  • Installation process.
  • Connecting to MongoDB database.
  • What are Object Ids in MongoDb.
  • Data Formats in MongoDB.
  • MongoDB Aggregation Framework.
  • Aggregating Documents.
  • What are MongoDB Drivers?
  • Finding, Deleting, Updating, Inserting Elements.
Edit
  • Introduction to Excel interface.
  • Customizing Excel Quick Access Toolbar.
  • Structure of Excel Workbook.
  • Excel Menus.
  • Excel Toolbars: Hiding, Displaying, and Moving Toolbars.
  • Switching Between Sheets in a Workbook.
  • Inserting and Deleting Worksheets.
  • Renaming and Moving Worksheets.
  • Protecting a Workbook.
  • Hiding and Unhiding Columns, Rows and Sheets.
  • Splitting and Freezing a Window.
  • Inserting Page Breaks.
  • Advanced Printing Options.
  • Opening, saving and closing Excel document.
  • Common Excel Shortcut Keys.
  • Quiz.
  • Adjusting Page Margins and Orientation.
  • Creating Headers, Footers, and Page Numbers.
  • Adding Print Titles and Gridlines.
  • Formatting Fonts & Values.
  • Adjusting Row Height and Column Width.
  • Changing Cell Alignment.
  • Adding Borders.
  • Applying Colours and Patterns.
  • Using the Format Painter.
  • Formatting Data as Currency Values.
  • Formatting Percentages.
  • Merging Cells, Rotating Text.
  • Using Auto Fill.
  • Moving and Copying Data in an Excel Worksheet.
  • Inserting and Deleting Rows and Columns.
  • Inserting Excel Shapes.
  • Formatting Excel Shapes.
  • Inserting Images.
  • Working with Excel SmartArt.
  • Entering and selecting values. Using numeric data in excel

  •  

    Working with forms menu, cell references, conditional

  • formatting and data validation, Finding and replacing information from worksheet

  • Inserting & deleting cells, rows and columns.

  • Creating basic formulae in excel

  • Im plementing excel formulae in worksheet

  • Relative cell referencing

  • Absol ute cell referencing

  • Relative vs Absol ute cell references in formulae

  • Understanding the order of operation

  • Entering and Editing text, Fixing errors in your formulae

  • Formulae with several operators, Formulae with cell ranges

  • Quiz.

  • Working with functions like SUM(), AVERAGE() etc

  • Adjacent cells error in excel calculations

  • Use of AutoSum & autofill command

  • Quiz

  • Creating a column chart.
  • Working with the excel chart ribbon.
  • Adding and modifying data on an Excel chart.
  • Formatting an excel chart.
  • Moving a chart to another worksheet.
  • Resizing a chart.
  • Changing a chart’s source data.
  • Adding titles, gridlines and a data table.
  • Formatting a data series and chart axis.
  • Using fill effects.
  • Changing a chart type and working with pie charts.
  • Quiz.
  • Intro to Pivot Tables
  • Structuring Source Data for Analysis in Excel
  • Creating a PivotTa ble
  • Exploring Pivot Ta ble Analyse & Desig n Options
  • Working with and on pivot tables
  • Dealing with Growing Source Data
  • Enriching data with Pivot table calculated values & fields
  • Formatting and charting a PivotTable
  • Pivot Table Case Study
  • Quiz
  • Introduction to macros

  • Automating Tasks with Macros

  • Recording a Macro

  • Playing a Macro

  • Assigning a Macro a Shortcut Key.

Edit
  • Why Power BI?
  • Account Types.
  • Installing Power BI.
  • Understanding the Power BI Desktop Workflow.
  • Exploring the Interface of the Data Model.
  • Understanding the Query Editor Interface.
  • Connecting Power BI Desktop to Source Files.
  • Keeping & Removing Rows.
  • Removing Empty Rows.
  • Create calculate columns.
  • Make first row as headers.
  • Change Data type.
  •         Rearrange the columns.
  • Remove duplicates.
  • Unpivot columns and split columns.
  • Working with filters.
  • Appending queries.
  • Working with columns.
  • Replacing values.
  • Splitting columns.
  • Formatting data & handling formatting errors.
  • Pivoting & unpivoting data.
  • Query duplicates vs references
  • Power BI

  • Working with Time series Understanding aggregation and granularity

  • Filters and Slicers in Power BI

  • Maps, Scatterplots and BI Reports

  • Creating a Customer Seq mentation.

  • Understanding Relationships.
  • Many-to-One & One-to-One.
  • Cross Filter Direction & Many-to-Many.
  • M-Language vs DAX (Data Analysis Expressions).
  • Basics of DAX.
  • DAX Data Types.
  • DAX Operators and Syntax.
  • Importing Data for DAX Learning.
  • Resources for DAX Learning.
  • M vs DAX.
  • Understanding IF & RELATED.
  • Create a Column.
  • Rules to Create Measures.
  • Calculated Columns vs Calculated Measures.
  • Understanding CALCULATE & FILTER.
  • Understanding "Data Category".
  • SUM, AVERAGE, MIN, MAX, SUMX, COUNT, DIVIDE, COUNT, COUNTROOMS, CALCULATE, FILTER, ALL
  • Time Intelligence.
  • Create date table in M.
  • Create date table in DAX.
  • Display last refresh date.
  • SAMEPERIODLASTYEAR.
  • TOTALYTD.
  • DATEADD.
  • PREVIOUSMONTH.
  • Create data table in M and DAX, Display last refresh Date.

  • Create your first report.
  • Modelling basics to advance.
  • Modelling and relationship.
  • Ways of creating relationship.
  • Normalisation – De-normalisation.
  • OLTP vs OLAP.
  • Star schema vs Snowflake schema.

Tools Covered

Industry - partnered capstone projects

Hands-on Projects

Data sets from the industry

Edit
Predict-card-default-skillslash-project

Predict credit default application

Project Objective : Develop a prediction model for existing customers to identify probable credit default for a retail bank

Predict-backrupt-of the company skillslash project

Predict bankruptcy of a company

Project Objective: Model to predict whether a company will go bankrupt or not

Mobile banking project by skillslash

Analyse customer mobile banking

Project Objective: Create clusters of customers on the usage of mobile banking

Predict-card-default-skillslash-project
Predict credit default application

Project Objective : Develop a prediction model for existing customers to identify probable credit default for a retail bank

Predict-backrupt-of the company skillslash project
Predict bankruptcy of a company

Project Objective: Model to predict whether a company will go bankrupt or not

foreign currencey preidction skillslash project
Currency foreign exchange rates

Project Objective: Time series analysis Forecast value of a currency in global market

Mobile banking project by skillslash
Analyse customer mobile banking

Project Objective: Create clusters of customers on the usage of mobile banking

    Edit
    Uber fair prediction skillslash project
    Uber - fare prediction

    Project Objective: Have to analyze the data Identification of COVID-19 surge in cases based on mobility within the country

    Mercedes-reduce0-time to market project skillslash
    Reduce time to market

    Project Objective: Reduce the time for a Mercedes-Benz to reach the market by optimizing the testing

    motion prediction project by skillslash
    Motion Prediction For Vehicles

    Project Objective: Build motion prediction models for self driving vehicles

    Predictive maintenance

    Project Objective: The objective is to predict the failure of the machine in advance

      Edit
      Covid-19 data prediction project
      Google Mobility data Prediction

      Project Objective: Goal is to identify Covid-19 surge in different regions based on mobility within the country

      skillslash-project-newtworking
      Reddit - Vaccine myths on social media

      Project Objective: Sentiment analysis of vaccine on social media

      skillslash-project-ai-heart
      Predict heart failure

      Project Objective: Create a model that could predict heart failure before its occurrence

      Infected or not Infected

      Project Objective: Study the human cell to identify whether it is infected or not infected

        Edit
        Youtube-data prediction project by skillsash
        YouTube trending video analytics

        Project Objective: Analyze daily records of YouTube trending video analytics to generate their comments

        Google Play Store Apps success factors.project by skillslash
        Google Playstore apps success factors

        Project Objective: Predict the factors that contribute to the success of an application on Google play store

        Spotify-song-preidction-project-skillslash
        Spotify – Identify the songs related to

        Project Objective: Work on the dataset to find a geographical connection with popular songs

        Hr-analytics-project-skillslash
        HR Analytics: To find candidates

        Project Objective: Predict the probability of a candidate looking for a new job

          Edit
          tele-customer-skillslash-project
          Telecom customer churn prediction

          Project Objective: Predict the behavior of customers to identify the probability of churning off

          Fraud call prediction skillslash project
          Fraud call prediction model

          Project Objective: Identification of illegal activities like fake profiles, cloning, identity theft for the customers

          telecome price optimization
          Price Optimization by analysing customers

          Project Objective: Price optimization for the telecom services by predicting the LTV, Tarrifs, understanding price elasticity w.r.t factors

          Chatbot developemnt project
          Chatbot design for best in-class support

          Project Objective: Chatbots for operational support and automated self-service

            Edit
            IMDB movie rating prediction
            IMDB – predict the rating of a movie

            Project Objective: Predict the rating and success of movies

            NSE stock prediction skilllsash project
            NSE – Stock price prediction

            Project Objective : Predict the stock prices with an increased level of accuracy

            Vinbigdata project by skillslash
            VinBigData Chest X-ray

            Project Objective: Accurate classification of problems to identify and localize findings on chest radiographs

            Amazon Food Review

            Project Objective: Classify food reviews based on customer feedback. Here you will use NLP to identify the sentiment of customers.

              Our story

              Our Mission is to provide world-class education

              Online courses designed for creative and made for everyone. Take course with us. Experience the new era of education

              Our story

              Why pratical learning experience is vital?

              Online courses designed for creative and made for everyone. Take course with us. Experience the new era of education

              Thanks a ton Skillslash Family. As a part of the Full stack course in Data Science i had a great learning experience. I was able to successfully move into a data science role in 7 months , which was amazing.

              Pragyan Prakash

              AI and ML full stack program is too good and helpful for working professionals, I have done BCA so I was well versed in Java, C, basic SQL and C++. At Skillslash I learnt Python, core SQL, R, math - stats, ML and More.

              Tilak Rao

              One of the best platform for working professionals. Although a new startup but training quality is really good. For our batch, instructor is Rahul (and co-founder) and he teaches statistics and ML concepts in depth.

              Gautam

              One of the best course providers is Skillslash, their data science course has helped me become the data scientist I am today. There are tons of differences between studying data science and working as a data scientist.

              Mrinal Sahay

              Skillslash is truly one of the best institutes to study machine learning, I thank my brother for suggesting me this course. The course has amazing perks for working professionals like live classes, faculty of industry professionals

              Sammer Ahmed

                The benefits of Skillslash’s business analytics course

                Edit
                Certification from top AI startups by skillslash
                • As part of our business analytics certification course in Bangalore, students can work on real-time industry projects.
                • Our students work on real-world business analytics projects from data cleaning through project launch.
                • Obtaining a business analytics certification in Bangalore to construct a visually appealing project portfolio.
                • This can be utilized by team decision makers to complete a POC. Further, resources for resolving project problems may also be accessible.
                Edit
                Build Your own course feature by skillslash
                1. There are specialized courses available with an emphasis on industry training. Besides, take advantage of instructor-led programs as well.
                2. Using the platform, you may construct tailored learning paths based on your job goals and experience.
                3. Modules can be selected based on your preferred learning style. Additionally, choose chapters that speak to you professionally.
                4. The business analytics course content covers a wide range of topics. Besides, it lets you design your own learning paths.

                 

                 

                Edit
                Bring your own project and get expert guidance by skillslash
                1. Those enrolled in our business analytics course can use our assistance to work on their own projects. Also, great results can be reaped.
                2. It’s a more advanced form of project certification. Besides, advanced project management abilities will be covered in this
                3. To better understand and use business analytics, students are invited to bring their own projects to class.
                4. In a proper atmosphere, you will get the opportunity to engage in live project training.
                Edit
                Certification from top AI startups by skillslash
                1. As part of our business analytics course, students can work on real-time industry projects.
                2. Our students work on real-world projects from data cleaning through project launch.
                3. Obtaining a business analytics certification to construct a visually appealing project portfolio.
                4. This can be utilized by team decision makers to complete a POC. Further, resources for resolving project problems may also be accessible.
                Edit
                Build Your own course feature by skillslash
                1. There are specialized courses available with an emphasis on industry training. Besides, take advantage of instructor-led programs as well.
                2. Using the platform, you may construct tailored learning paths based on your job goals and experience.
                3. Modules can be selected based on your preferred learning style. in addition, choose chapters that speak to you professionally.
                4. The business analytics course content covers a wide range of topics. Besides, it lets you design your own learning paths.
                Edit
                Bring your own project and get expert guidance by skillslash
                1. Those enrolled in our business analytics course can use our assistance to work on their own projects. Also, great results can be reaped.
                2. It’s a more advanced form of project certification. Besides, advanced project management abilities will be covered in this
                3. To better understand and use business analytics, students are invited to bring their own projects to class.
                4. In a proper atmosphere, you will get the opportunity to engage in live project training.

                How to apply?

                Follow these 3 simple steps to the admission process.

                Step 1: Fill Enquiry From

                Apply for your profile review
                by filling the form

                Step 2: Talk to Expert

                Get your career counseling report from the expert

                Step 3: Get Started

                Join the business analytics course by enrolling

                Fill Enquiry Form
                Apply for your profile review

                by filling the form

                Talk to Expert
                Get your career counseling report

                from the expert

                Get Started
                Join the business analytics course

                by enrolling 

                Upcoming Cohort Deadline

                The admission closes once the required number of applicants enroll for the upcoming cohort. Apply early to secure your seats and get started on your professional AI and ML training.

                15th May 2022

                Finance

                The business analytics course fees & financing

                The business analytics course fee starts from ₹55,000 (Excluding GST). Besides, we aim to deliver to you quality education considering the aspect of feasibility.

                Affordability of business analytics course

                We are driven by the idea of program affordability. So, we give you several financial options to manage and budget the course expenses. Because we believe in fair reachability and access to all our carefully curated programs. Therefore, you get options such as EMI to pay the business analytics course fees.

                Program Features

                Job Assistance

                Live Class Subscription

                LMS Subscription

                Job Referrals

                Industry Projects

                Capstone Projects

                Domain training

                Project Certification from companies

                Job Guarantee

                Basic

                ₹ 55,000 + GST

                1 Year

                Lifetime

                3+

                7+

                1

                Pro

                ₹ 75,000 + GST

                3 Years

                Lifetime

                5+

                15+

                3

                Pro Max

                ₹ 1,05,000 + GST

                3 Years

                Lifetime

                Unlimited

                15+

                3

                Basic

                ₹55,000 +GST

                1 Year

                Lifetime

                3+

                7+

                1

                Pro

                Price

                ₹75,000 +GST

                Job Assitance

                Live Class Subscription

                3 Year

                LMS Subscription

                Lifetime

                Job Referrals

                5+

                Industry Projects

                15+

                Capstone Projects

                3

                Domain Training

                Project Certification from companies

                Job Guarantee

                Pro Max

                ₹1,05,000 + GST

                3 Year

                Lifetime

                Unlimited

                15+

                3

                Batch Details

                Program Cohorts

                Business Analytics course next cohorts 2022
                Business Analytics course next cohorts 2022

                4 April 2022

                9 Apr 2022

                08:00 – 10:00 AM

                09:00 – 12:00 AM

                Weekday (Mon – Fri)

                Weekend (Sat-Sun)

                Got Question regarding next cohort date?

                Frequently asked questions

                Have a look at the FAQ’s below to know more about our business analytics training, fees and project details.

                 

                The duration of the business analytics course is 5 months.But, depending on your schedule (weekdays/weekends), the amount of time you spend learning will vary. Under different modules, you will be able to study about a variety of topics. Most significantly, beginning with the fundamentals of programming, such as python and cloud basics, and progressing to advanced Excel, DBMS - SQL and NoSQL, and data visualization using power BI and Tableau.

                 

                Every enthusiastic data science aspirant, we believe, is capable of making a successful data science career move. But, no, we don't have any stringent eligibility requirements. However, we do assess candidates' aptitude for the learning module in the business analytics sector. Specifically, on the basis of programming skills and statistical knowledge. The business analytics course is specifically curated for professionals. Also, a candidate must have at least one year of professional experience in any field.

                The business analytics training has a course fee starts from INR 55, 000. In addition, you can also avail a scholarship program under our business analytics course. Besides, you can get up to a 10% scholarship for the Fresh Graduates program if you take an aptitude exam. So, if a candidate has a score of more than 65 percent on the aptitude exam, he or she will be eligible for a 10 percent reduction on the course fees.

                Firstly, we provide live online classes. Additionally, all of our students have access to video recordings of those classes. Besides, we provide you with unrestricted access to these recorded sessions. So, you can refer to them whenever you need theoretical assistance in your business analytics, AI or ML career. As a result, if you miss any of the live classes, you need not be disappointed. That said, we do, however, strongly encourage you to attend all live classes.

                The business analytics course offers 15+ real-world projects from which you can choose a couple for case study learning based on the demands of your domain. Aside from that, under the business analytics course curriculum, you will have the opportunity to work on three industry projects (capstone projects) with a variety of MNCs and startups.

                The catch is that you will not receive or academic degree if you attend the business analytics course. Instead, we provide a project management certificate that is recognized all over the world. Besides, direct certifications are also available from the company with which you completed your industrial project.

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                Artificial Intelligence and Machine learning Course

                9 Months • online Live class

                Artificial Intelligence and Machine learning Course

                9 Months • online Live class

                Artificial Intelligence and Machine learning Course

                9 Months • online Live class

                Artificial Intelligence and Machine learning Course

                9 Months • online Live class

                Artificial Intelligence and Machine learning Course

                9 Months • online Live class

                Artificial Intelligence and Machine learning Course

                9 Months • online Live class

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