Top 5 Business Analytics Courses in Mumbai With Live Training

Business is different from other careers. In business, there is a saying, the devil lies in details. Although business deals with daily activities which look normal from the outside. But it has different aspects and every problem will lead to another problem and it is hard to connect and brings nodes of the problem. While doing business, people will always think from the customer’s point of view. It is good and approachable to do so. It has another internal supply side. We are going to take a detailed look at the top business analytics courses in Mumbai. 

Business Analytics Courses in Mumbai

 

But before that, lets see what we mean by business analytics. Managers are players in the business. The reason is he/ she operates in an uncertain environment. Predicting business from past performance is like a cakewalk; the emerging uncertain things will damage the business ecosystem. If uncertainty does not exist, there is no need for a manager or business analyst. So indeed viewing luck from a negative front starts to see it as an opportunity for aspirants. 

 

This story is an example of the role of business analysts. Some people are blessed with analytical and critical skills, but some need an outside push for developing the skills. Here in this content, you can see some of the best business analytics courses in Mumbai for the upcoming generation. 

 

Best 5 Business Analytics Courses:

 

1. Business Analytics Courses in Mumbai – Evarcity

Nowadays online courses are popular among students. After the pandemic students start searching for online courses because of the impact of online studies. Evarcity brings you an online coaching platform that revolutionizes the teaching area. It provides online courses on specific business-related topics at reasonable prices. Let’s learn deeply to know about the courses which will help the students who are new to this domain.

 

Data Analytics Training in Mumbai

  • Course Name: Data Analytics Training in Mumbai 
  • Course Fee: No Information
  • Course Duration: 12 weekends program (60 hours of training and project)
  • Mode of Learning: online

 

Course Curriculum:

Module 1: Introduction to Statistics and its Branches (4 weeks).

  • Basics.
  • Mean, Median, Mode.
  • Probability Techniques.
  • Hypothesis.
  • Dimension reduction Techniques.

 

Module 2: Introduction to R Programming and Python Programming (4 weeks).

  • Data Manipulation Techniques that help in R and Python Programming.
  • Data Importing Techniques from Database which helps in R and Python Programming.
  • Exploratory Data Analysis.
  • Data Visualization Techniques in R and Python Programming.  

 

Module 3: Introduction to Machine Learning (4 weeks).

  • Data Mining- Clustering Techniques.
  • Sentiment Analysis and Association Rule Mining.
  • ANOVA (Analysis of Variance) and Predictive Analysis.
  • Decision Trees and Random Forest.
  • Time Series Analysis- forecasting with the help of past data and performance.

 

Machine Learning and Artificial Intelligence Program

 

  • Course Name: Machine Learning and Artificial Intelligence 
  • Course Fee: No Information
  • Course Duration: 12 weekends program (60 hours of training and project)
  • Mode of Learning: online

 

Course Curriculum:

 

Module 1: Introduction to Machine Learning (4 weeks).

  • Introduction.
  • Problem Classification.
  • Representation of the World.
  • Visualization Techniques and Unsupervised Machine Learning.
  • Data Preparation.

 

Module 2: Supervised Learning (4 weeks).

  • Simple Linear Algorithms and Training.
  • Linear Non-Separability and Other Algorithms.
  • Decision Trees.
  • Training, Validation, and Testing.
  • Support Vector Machines.

 

Module 3: Introduction to Deep Learning (4 weeks).

  • Introduction to Deep Learning and Tool Chain.
  • Gradient Descent and Backpropagation.
  • MLP (Multilayer Perceptron) as a classifier.
  • Convolutional Neural Networks.
  • Recurrent or Repeating Neural Networks.

 

Spark and Scala Online Course Training

 

  • Course Name: Spark and Scala Online Course Training
  • Course Fee: No Information
  • Course Duration: 12 weekends program (45 hours of training and project)
  • Mode of Learning: online

 

Course Curriculum:

 

Module 1: Introduction to Scala

  • Introduction.
  • Methods.
  • Collection.
  • Oops (Object Oriented Programming in Java) Concepts.
  • Inheritance and Traits.

 

Module 2: Spark and Hadoop Introduction (4 weeks).

  • Spark and its Architecture.
  • RDD (Resilient Distributed Database) in Spark.
  • Hive with Spark (Hive for a large volume of data; Spark for big data analytics).
  • Spark SQL (Structured Query Language).
  • Dataset and Dataframes.

 

Module 3: Machine Learning (ML) with Spark (4 weeks).

  • Introduction to Machine Learning and its Basics.
  • Case Studies and Capstone Projects.
  • Apache Spark Streaming with Apache Kafka.
  • Projects. 

 

Hadoop Online Course Training 

 

  • Course Name: Hadoop Online Course Training
  • Course Fee: No Information
  • Course Duration: Classes on weekdays/ weekends (45 hours of training and project)
  • Mode of Learning: online

 

Course curriculum:

 

Module 1: Introduction to Big Data Hadoop (4 weeks).

  • Understanding of the Basics.
  • HDFS (Hadoop Distributed File System).
  • MapReduce in Hadoop. 
  • Yarn.
  • Pig.

 

Module 2: Sqoop (4 weeks).

  • Hive (data warehouse).
  • Apache Flume.
  • H base.
  • Zookeeper.
  • Oozie.

 

Module 3: Introduction to Amazon Web Services (AWS) using Hadoop (4 weeks).

  • Load a huge amount of data with S3 (Simple Storage Service).
  • Capstone Projects and Case Studies.
  • Empirical and Pragmatic Projects.
  • Convolutional Neural Networks.
  • AWS (Amazon Web Services) Lap.

 

Power BI Course Training

  • Course Name: Microsoft Power BI Course Training 
  • Course Fee: No Information
  • Course Duration: Classes on weekdays/ weekends (9 weeks) (45 hours of training and project)
  • Mode of Learning: online

 

Course Curriculum: 

Module 1: Introduction to Power BI (3 weeks).

  • Introduction- Understanding the Basics of Power BI.
  • Start learning the concepts of Power BI.
  • Power BI and Desktop Visualization.
  • Modeling Techniques with Power BI.
  • Viz and Tiles.
  • DAX (Data Analysis Expressions) Expressions.
  • Publishing and Sharing of the Data.

 

Module 2: Connection to Data (2 weeks).

  • Connect to data resources like Excel, Websites, and CSV (comma-separated values).
  • Connecting to other data resources in Microsoft Power BI.
  • Power BI Query Editor.
  • M- a Query Language.
  • Connect to GCP (Google Cloud Platform), Renaming, Editing, and Data Handling.
  • Use Data Visualization Techniques for Report Preparation.

 

Module 3: Exploration of Power BI and its Features (4 weeks).

  • R Programming and Python Programming.
  • Statistical Tools and Techniques.
  • Case Studies and Capstone Project.
  • Hands-on Industrial Projects.
  • Microsoft Power BI tool usage.
  • SQL (Structured Query Language).

 

Data Engineer and Cloud Course

  • Course Name: Data Engineer Cloud Course Training  
  • Course Fee: No Information
  • Course Duration: Classes on weekends (12 weeks) (45 hours of training and project)
  • Mode of Learning: online

 

Course Curriculum:

Module 1: Introduction to AWS (Amazon Web Services) Cloud (4 weeks).

  • Understanding of the Basics.
  • Navigation of AWS Management Console.
  • Creation of Amazon Elastic Cloud Compute (EC2) instance and set up the cluster.
  • AWS Storage and Installing Software.
  • Amazon S3, Creation of Buckets and Folders.
  • Uploading Objects and Securing Buckets.
  • AWS- IAM (Identity and Access Management).
  • Installation of Amazon s/w.
  • AWS- Cloud Formation.

 

Module 2: Big Data- Hadoop and Spark(4 weeks).

  • Introduction to Big Data Analytics (Hadoop and Spark).
  • HDFS and Hadoop Architecture.
  • MapReduce Techniques and its Implementation. 
  • Yarn (Yet Another Response Negotiator) and Apache Hive.
  • Introduction to Spark and its Architecture.
  • RDD (Resilient Distributed Datasets), Transformation, and Action with Real-Data.
  • Spark SQL and Hive Connection with Spark.
  • Machine Learning.
  • Data Pipeline and Data Cleaning.
  • Spark Streaming and Spark Kafka.
  • Project on Hadoop and Spark. 

 

Module 3: Introduction to Programming, Scala, and Python Programming (4 weeks).

  • Introduction to Scala and its Methods.
  • Data Collection.
  • Oops Concepts.
  • Inheritance, Traits, and SBT which is a java build tool.
  • Introduction to Python Programming.

 

Course Details:

  • Phone: +91-8105901208

 

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2. Business Analytics Courses in Mumbai – Aegis School of Business

Aegis School of Business provides many courses among them two courses that help students who are aspiring to make a career in the business analytics field. Although applications are helpful in data collection, exploration, and presentation, human skills are required to manage the data. The existing skills are obsolete. Many courses provide the skills in a short period. Among them, this institute is one to offer business analytics courses in Mumbai.

Master’s Program in Data Science, Business Analytics, and Big Data

 

  • Course Name: Master’s Program in Data Science, Business Analytics, and Big Data
  • Course Fee: No Information
  • Course Duration: one year
  • Mode of Learning: offline (on-campus learning), full-time or executive (weekend classes)

 

Course Curriculum:

  • Module 1: Statistics and its Techniques.
  • Module 2: R Programming.
  • Module 3: Python Programming.
  • Module 4: Machine Learning.
  • Module 5: Deep Learning Techniques.
  • Module 6: Artificial Intelligence Techniques.
  • Module 7: NLP (Natural Language Processing).
  • Module 8: Tensor Flow.
  • Module 9: IBM (International Business Machines) Cognos.
  • Module 10: Apache Spark.
  • Module 11: Tableau.
  • Module 12: QlikView.
  • Module 13: Microsoft Azure.
  • Module 14: AWS (Amazon Web Services).
  • Module 15: IBM SPSS (Statistical Packages for Social Sciences).
  • Module 16: Computer Vision.
  • Module 17: People Analytics and Text Analytics.
  • Module 18: Business Analytics.
  • Module 19: SQL (Structured Query Language).
  • Module 20: Apache Hadoop.
  • Module 21: IBM Watson Analytics.
  • Module 22: IBM Big Insights.
  • Module 23: SAS (Statistical Analysis System) Analytics.

 

Course Features:

  • Grab a career in data science, machine learning, deep learning, big data, business analytics, predictive analysis, NLP, marketing analytics, financial analytics, operations analytics field, etc… 
  • This program is recognized by IBM, Microsoft, Google, etc…
  • This course is considered India’s best business analytics course.
  • Six live projects for getting life experience.
  • Reasonable Credit Structure.
  • The best program covers all three topics of data science, business analytics, and big data.
  • Scholarship for the students to lessen the fees. 

 

Master’s Program in Applied Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning

The need for artificial intelligence and machine learning is growing. The main purpose of this course is to give complete knowledge of AI and ML and satisfy the recurring needs in the technology sector. This course teaches all the required information to become an analyst in the business field.

  • Course Name: Master’s in Applied Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning
  • Course Fee: 30,000 INR
  • Course Duration: 11 months
  • Mode of Learning: full-time (on campus)

 

Course Curriculum: (What this course provides you?)

  • Module 1: Machine Learning.
  • Module 2: Neural Network in Machine Learning.
  • Module 3: Deep Learning.
  • Module 4: Cognitive Computing.
  • Module 5: Computer Vision.
  • Module 6: NLP- Natural Language Processing.

 

Additional Concepts:

  • Module 7: Graphical Processing Units for iterative processing.
  • Module 8: Internet of Things (IoT).
  • Module 9: Advanced Algorithms.
  • Module 10: Application Processing Interface (APIs)

 

How has AI been used and the opportunities?

  • Healthcare provides X-ray readings, reminding the patients to take pills at the proper time.
  • In Retail, helps consumers to choose among customized recommendations (like recommendation engines), and helps the organization in stock and layout management.
  • In manufacturing, AI helps in loading and forecasting the demand for the product.
  • In sports, it helps players and coaches to optimize the game’s performance.

 

Contact Details:

 

More Articles To Read

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3. Business Analytics Courses in Mumbai – Boston Institute of Analytics

Boston Institute of Analytics aims to offer quality education in emerging technologies. It is located in Boston, USA. This institute provides business analytics and data science courses in Mumbai. The course covers concepts of machine learning, artificial intelligence, programming, computing, statistics, and more. To know more about this course and to learn contemporary skills, go through the below content and concepts.

 

Data Science Core Module

  • Course Name: Data Science Course with Core Modules
  • Course Fee: No Information
  • Course Duration: 4 months (weekends only)
  • Mode of Learning: institute learning (on campus)

 

Course Curriculum:

  • Module 1: Basics of Data Science and Analytics.
  • Module 2: Fundamentals of Python Programming and R Programming.
  • Module 3: Structured Databases.
  • Module 4: Python and R Programming for Data Science.
  • Module 5: Applications of Analytical Techniques in Python (Pandas, NumPy, SciPy, NLTK, etc…).
  • Module 6: Exploratory Data Analytics.
  • Module 7: Statistical and Mathematical Foundations for Data Science.
  • Module 8: Introduction to Modeling Techniques, Algorithm Development, and Machine Learning.
  • Module 9: Extensive and Elaborative Study of Statistics.
  • Module 10: Introduction to Predictive Modeling.
  • Module 11: Time Series Analysis and Forecasting Techniques.
  • Module 12: Data Visualization Tools and Techniques: BI Dashboard and Reporting Tools.
  • Module 13: Case Studies and Live Industrial Projects.

 

Data Science Course with Advanced Modules

  • Course Name: Data Science Course with Advanced Module
  • Course Fee: No Information
  • Course Duration: 4 months (weekends only)
  • Mode of Learning: institute learning

 

Course Curriculum:

  • Module 1: Pattern Recognition, Algorithm Development, and Machine Learning.
  • Module 2: Implementation and Exploration of Advanced Modeling Tools and Techniques.
  • Module 3: Validation of Models and Optimization Techniques.
  • Module 4: Advanced Application Techniques in Machine Learning.
  • Module 5: Advanced Supervised and Unsupervised Learning.
  • Module 6: Advanced Natural Language Processing (ANLP).
  • Module 7: Deep Learning Techniques.
  • Module 8: Computer Vision.
  • Module 9: Applied AI (Artificial Intelligence).
  • Module 10: Case Studies and Live Industrial Projects to Polish the Theoretical Concepts.

 

Why do you choose them?

  • Assured internship.
  • 100% placement assistance.

 

Contact Details:

  • Phone: +91 96190 00123

 

4. Business Analytics Courses in Mumbai – Great Learning

Great learning provides a master’s program in business analytics courses in Mumbai. It is considered a reputed and diligent institute for students who want to pursue business analytics as a full-time career. Great Learning collaborated with the University of Texas, Austin, at the end of the course, you will be offered two institute completion certificates.

 

Course Name: Postgraduate Program in Data Science and Business Analytics from Texas and McCombs

  • Course Fee: 2,50,000 INR plus GST
  • Course Duration: 11 months
  • Mode of Learning: online

 

Course Curriculum:

Updated V.22 course

Foundation Modules:

  • Module 1: Introduction to Data Science and Techniques.
  • Module 2: Marketing and Customer Relationship Management (CRM).
  • Module 3: Statistical Methods and Techniques for Decision Making.
  • Module 4: Business Finance.
  • Module 5: SQL Programming includes DBMS, Grouping, Filtering, Joins, Sorting, Operations, Normalization Techniques, and more.

 

Data Science Tools and Techniques:

  • Optimization Techniques include Linear, Goal, Integer, and Nonlinear Programming.
  • Predictive Modeling and Logistic Regression.
  • Advanced Statistical Techniques.
  • Data Mining Techniques.
  • Time Series Analysis and Forecasting Techniques.
  • Machine Learning Techniques.

 

Domain Exposure:

  • Marketing and Retail Analytical Techniques.
  • Web Development and Social Media Analytics.
  • Financial and Risk Analytics; Risk Management.
  • Supply Chain and Logistics Analytics.

 

Visualization Techniques and Gaining Insights:

  • Data Visualization Techniques include Tableau, Charts, Dashboard, Descriptive Statistics, Charts, Case Studies, etc…

 

Tools Covered in this Course:

  • Python Programming.
  • R programming.
  • Tableau.
  • SAS (Statistical Analysis System)- online.

 

Capstone Projects:

  • Data analytics techniques in retailing to improve sales of consumer durables.
  • Web and social media techniques- a project on the 2015 Chennai floods.
  • Demand forecasting model on supply chain and logistics domain.
  • In retailing, market basket analysis.
  • Startup project on data analysis.
  • E-commerce engagement project.
  • Prediction model on retailing.
  • Healthcare analysis.
  • Project of insurance digital assistant.
  • In finance and accounting, vendor invoicing projects.

 

Course Features:

  • This course is updated to version 2.2.
  • 8 industry sessions.
  • 6 practice hackathons.
  • 3 virtual sessions.
  • 15 project case studies.
  • 9 optional modules on Power BI, AI, Cloud Computing, and Blockchain.
  • Handbook on case studies.
  • 3 one-to-one coaching sessions.
  • 3 company-sponsored hackathons.
  • After undergoing the capstone project, you will have guidance to publish the projects in good journals.
  • After enrolling in the course, you have access to a learning management system.

 

Contact Details:

  • Phone: +91 8047 189 251

 

5. Business Analytics Courses in Mumbai – Narsee Monjee Institute of Management Studies (NMIMS)

It is one of the reputed institutes in India. They are providing different courses in different domains. In business analytics, they are offering 2 years MBA in Decision Science and analytics plus MS in Business Analytics and Information management.

 

  • Course Name: Master of Business Administration in Decision Science and Analytics plus Master of Science in Business Analytics and Information Management
  • Course Fee: 12,02,000 INR per year (24.04 lakhs for 2 years)
  • Course Duration: 2 years
  • Mode of Learning: on-campus (full-time)

 

Eligibility Criteria and Selection Process:

  • Bachelor’s degree with a minimum of 55% marks in any of the subjects like Maths, Science, Economics, or related science.
  • TOEFL with 93 or IELTS with 7 bands or maximum.
  • Candidates are selected based on their performance in the NMAT entrance exam and psychometric test or written analytic test including a personal interview.

 

Contact Details:

  • Phone: 022 4235 5555

 

Frequently Asked Questions:

 

Q1. What is the salary of a business analyst after business analytics courses in Mumbai?

In India, a business analytics career comes under a high-paying job. After undergoing thorough training and facilitation, one business analyst can earn a maximum of about 12,90,000 INR per annum. The average earning of the business analysts is 6,25,000 INR per annum. This career requires continuous learning, after this course, you know how to upgrade your skills regularly which helps you to land good jobs.

 

Q2. What are the opportunities available after joining business analytics courses in Mumbai? 

After undergoing a different decade, pandemic, and crisis, many people started finding resources to do the job from home. Business Analytics is considered one of the sexiest jobs of the 21st century. You have the opportunity to work with top Indian companies in a different analyst role.

  • IBM India has 356 job openings.
  • Accenture has 241 openings.
  • Wipro has 50 openings.
  • Tech Mahindra Business Services has 38 openings.
  • Other than this you can work in Tata Consultancy Services, Capgemini, Axis bank, Muthoot Finance, etc. 
  • Based on work experience, salary will vary.

 

Top positions in the above industries:

  • Business Analyst Manager.
  • Data Analyst Manager, Information and Security Analyst.
  • Information Technology (IT) Business Analyst.
  • Quantitative Analyst.
  • Data Analyst Scientist.

 

Q3. Why business analysis is considered an important job?

Business Analyst plays a role to understand and transform business ideas and capabilities to gain insights. They are involved in deciphering past mysteries and identifying, creating, and exploring the data to improve and bring a conducive business environment to achieve business objectives.

 

Q4. Can I take online business analytics courses in Mumbai?

Absolutely yes. Instead of wasting time traveling, and frivolously spending on some activities, you can take online courses which are much easier physically and save you time. One criterion is always to be conscious about learning and attend the lectures diligently.

 

Q5. What is meant by business analyst?

Business analysts are the person who strives for changes in the business domain with their analytical skills to decipher the hardcore things. Business analysts use machine learning, artificial intelligence, predictive modeling, and data visualization tools, to gain insights and improve business standards by achieving the firm’s objectives.

 

Conclusion of Business Analytics Courses in Mumbai:

In this content, you came through the best four business analytics courses in Mumbai. The information about the courses explains to you the details of business analytics courses elaborately.  Before undertaking any course, study the course curriculum and determine that the course is flexible for you or you can take Udemy or Coursera courses before joining the program.

 

 

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