Post Graduate Program In Business Analytics BY Careerera, Program, Fees, Course, Admission, Syllabus

Post Graduate Program In Business Analytics BY Careerera:- The Post Graduate Programme in Business Analytics trains students to be knowledgeable and enlightened so they can distinguish between what is right and wrong when making important decisions in a business setting, assisting a business entity or firm in achieving its organisational goals and objectives.

Because of this, the course gives professionals plenty of freedom to grow and develop in ways that are necessary for the modern corporate sector.


Post Graduate Program In Business Analytics BY Careerera

The goal of the online Post Graduate Program In Business Analytics BY Careerera course is to give students the knowledge and support they need to advance in their careers. It focuses on acquiring business intelligence skills that are market-ready. By examining historical company behaviour and data, analysing it, and using it to inform present-day business decisions, the course educates students about business analytics.

The Post Graduate Programme in Business Analytics curriculum helps students analyse data and offers in-depth training in a variety of topics, including Power BI, Data Warehousing and BI, Informatica, DW Architecture, Tableau, ERwin, ETL, Data Modelling, Data Visualisation, Teradata SQL, Reporting, Data Protection, SQL Advanced Performance Optimisation, and much more.

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Post Graduate Program In Business Analytics BY Careerera

Post Graduate Program In Business Analytics Details

Article Name Post Graduate Program In Business Analytics BY Careerera
Year 2024
Category Courses
Official site

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The highlights

  • Multiple Live Projects
  • Students Handouts
  • Live session
  • Hands-on training experience
  • Live Online classes
  • 12 Months duration
  • Solid Foundation
  • Career Assistance
  • Experienced Faculties
  • Course Completion Certificate

Program offerings

  • Videos
  • Examinations
  • Assignments
  • Surprise tests
  • Online learning
  • Mock papers
  • Notes
  • Capstone projects

Course and certificate fees

Certificate Availability

  • Yes

Certificate Providing Authority

  • Careerera

Eligibility criteria

  • Applicants must have a graduation degree in any field from a recognized university.

Certification Qualifying Details

Candidates must pass a test administered by Post Graduate Program In Business Analytics BY Careerera at the conclusion of the course to be eligible for the Post Graduate Programme In Business Analytics certification.

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What you will learn

Business analytics knowledge

Learn to analyse the relationships between many aspects in a commercial setting, develop and test business theories, and make better managerial decisions after completing the Post Graduate Programme in Business Analytics certification course. To ensure that pupils have a thorough awareness of the outside commercial world, learners will work on example situations.

Who it is for

Data analyst Data scientist Business analyst

Candidates who wish to pursue careers in Business Analysis, Requirements Analysis, BRD FRD, and SRS Document Creation, Strategy Analysis, Data Visualisation, Wireframing, SQL Database, Digital Transformation, R Language, Data Analysis, etc., such as Data Analyst, Data Scientist, Business analyst, and more, will benefit from the Post Graduate Programme in Business Analytics course.

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Step to Apply for Admission details

Follow the instructions below to enrol in the online Post Graduate Programme in Business Analytics:

  • Open the official Careerera course website, by following the link below.
  • (
  • The ‘Upcoming Batches’ button allows candidates to select their batch.
  • To start the application process, use the ‘Enrol Now’ button.
  • Complete the appropriate fields and turn in the required paperwork.
  • Pay the programme fee and start your studies on the designated day.

The syllabus

  • Introduction to R
  • R for Business Analytics
  • Programming in R
  • OOPS Concept In R
  • How To Read The Data In R?
  • Data Preprocessing
  • Data Visualization Using R
  • Introduction to Database Management System
  • Introduction to SQL
  • NoSQL Databases and Best Practices
  • Introduction To Machine Learning
  • Inferential Statistics
  • Supervised Learning: Linear Regression
  • Supervised Learning: Classification
  • Unsupervised Learning: Clustering
  • Machine Learning for Business Analytics
  • Tree-Based Models
  • Time Series Forecasting
  • Operations Research
  • Data Visualization Using Tableau

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How It Helps

Candidates who enroll in Post Graduate Program In Business Analytics BY Careerera programme will reap the following benefits:

  • Learn about data modelling, business analytics, and reporting skills.
  • Individual coaching and mentorship by subject matter experts will improve career counselling and sector exposure.
  • Become hands-on with a range of projects and learn about real-world business and industry.
  • Working on a variety of case studies will teach you how to recognize and address challenging industry issues.
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Post Graduate Program In Business Analytics BY Careerera FAQ’S

What is the qualification for PG certification in data science?

PG Diploma In Data Science eligibility requires candidates to have a bachelor’s degree with at least 50% overall or an equivalent grade, preferably in science or computer science from an accredited university. For some colleges candidates may need relevant work experience to be eligible for the particular course.

What is PGDM in data science and business analytics?

The PGDM course in Data Science & Business is designed with a vision to skill students in the areas of data science and analytics for better employability and career prospectus. The program is designed to teach students on effective use of data to enable business decisions.

Is data science certificate worth it?

Studying to become a data scientist is the first step to embarking on a rewarding career. Earning a data science certificate provides legitimacy that you are sufficient in key skills that will inevitably lead to full-time employment in the field.

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