Masters in Data Science and Analytics

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Upcoming Class

11
July

Masters in Data Science and Analytics

Masters in Data Science and Analytics
$3599.00 $2999.00
Careerera (WS100712)

1 Days
180 Hour
LIVE ONLINE LIVE ONLINE

Description

Course Description:

Businesses that make quick decisions have constantly enjoyed better success. The difference in the time of big data is that organizations can now progress at scale by forcing the power of business analytics. Business experts today are using the tools of tomorrow to make quantum leaps in how they take out value from their data.

Analytics is influencing businesses globally and organizations are on the watch for professionals who are prepared in business analytics.  This includes analyzing data about a business’s previous performance to forecast how it will further perform and make business decisions accordingly.

The PGP in Data Science and Business Analytics by Careerera delivers a supreme opportunity for individuals to initiate their career in the exhilarating field of business analytics.

PGP Program in Business Analytics by Careerera is intended to make and develop all-round business analytics capabilities in contenders. This program will educate you on the motives why a successful business needs more than regular workforces.

Why Business Analytics

  • As a pg program business analytics is relatively new. This developed with the growth of computing power allowing for progressively more complicated analysis to take place.
  • Business analysis is used in most of the world’s chief companies and is particularly valuable.
  • Rising interest in the tech field has made this program worth learning.

Audience Profile:

The ideal contenders for the Post Graduate Programs in Data Science and Business Analytics are

  • Technology Experts
  • Business Researchers
  • Business Executives

Eligibility Standard

Careerera focuses on every being in their program because the team trusts in delivering education to all involved ones. We welcome fresher as well as working experts for the program with 50% collective marks in their respective domains.

But, the stated standards will be appreciated

  • Bachelor’s degree in engineering
  • Basic knowledge of the program you are aiming at.
  • Diploma Graduates

Program Objectives

PGP in Data Science and Business Analytics is based on the purpose to make you understand the following:

  • Data managing and mining with SQL and Python
  • Data Visualization with Tableau and Python
  • Statistical Data Analysis with Excel, Python, and R
  • Predictive Statistical Modeling Algorithms
  • Machine Learning and Deep Learning Models on Text & Visuals
  • Applying Algorithms at Scale with Big Data Systems
  • Generating Business Values and Effective Storytelling 

Learning Outcome

  • Improving the decision-making process (quality and significance)
  • Speeding up of the decision-making process
  • Better alignment with strategy
  • Realizing cost-efficiency
  • Improving competitiveness
  • Producing a single, unified outlook of enterprise information
  • Synchronizing financial and operational strategy
  • Increase revenues
  • Sharing information with a wider audience 

Why Careerera?

  • 125000+ Students
  • 4 Million Hours of Learning Delivered
  • Top 10 Ranked Programs
  • 500+ Industry Specialists
  • 25+ India’s Best Business Analytics Faculty

What makes our program outstand?

  1. The program is cautiously crafted by eminent academics and industry experts to assist candidates to develop knowledge of the essential and superior topics in Business Analytics.
  2. The program aims for candidates to use the analytics skills-sets to resolve actual-world business issues.
  3. Various tools and methodologies discussed in the curriculum to gear the candidate skills and prepare them for the field.
  4. Weekend classroom sessions help candidates to acquire an understanding of the program.
  5. Never miss a class as you may switch to a new batch, depending on your availability to guarantee consistent growth.

Scopes upon accomplishment of the program

Major Job roles after the PGP in Data Science and Business Analytics are:

  • Data Scientist (Emphasis on a computer)
  • Data Scientist (Emphasis on analytics)
  • Quantitative Analyst
  • Data Analyst
  • Business Analyst (Manager/Consultant)

Admission Process

  • Apply and fill the application form online on our site.
  • The faculty panels will assess all the applications and select candidates depending on their profiles.
  • Selected candidates will go through an interview which will then be assessed by the faculty panel.
  • An admission proposal will be then made to the selected candidates.

Curriculum

  • Introduction to Business Analytics
  • R for Data Science
  • Introduction to R and R-Studio
  • Dealing with Data using R
  • Visualization using R
  • Descriptive Statistics
  • Introduction to Probability
  • Probability Distributions
  • Hypothesis Testing and Estimation
  • Goodness of Fit
  • Fundamentals of Finance
  • Working Capital Management
  • Capital Budgeting
  • Capital Structure
  • Core Concepts of Marketing
  • Customer Life Time Value

Analytics techniques

  • Analysis of Variance
  • Regression Analysis
  • Dimension Reduction Techniques
  • Introduction to Supervised and Unsupervised Learning
  • Clustering
  • Decision Trees
  • Random Forest
  • Neural Networks
  • Multiple Linear Regression
  • Logistic Regression
  • Linear Discriminant Analysis
  • Introduction to Time Series
  • Correlation
  • Forecasting
  • Autoregressive models
  • Handling Unstructured Data
  • Machine Learning Algorithms
  • Bias Variance trade-off
  • Handling Unbalanced Data
  • Boosting
  • Model Validation
  • Linear programming
  • Goal Programming
  • Integer Programming
  • Mixed Integer Programming
  • Distribution and Network Models

Domain exposure

  • Marketing and Retail Terminologies
  • Customer Analytics
  • KNIME
  • Retail Dashboard
  • Customer Churn
  • Association Rules Mining
  • Web Analytics: Understanding the metrics
  • Basic & Advanced Web Metrics
  • Google Analytics: Demo & Hands on
  • Campaign Analytics
  • Text Mining
  • Why Credit Risk-Using a market case study
  • Comparison of Credit Risk Models
  • Overview of Probability of Default (PD) Modeling
  • PD Models, types of models, Steps to make a good model
  • Market Risk
  • Value at Risk - using stock case study
  • Introduction to Supply Chain
  • Dealing with Demand uncertainty
  • Designing Optimal Strategy using Case Study
  • Inventory Control & Management
  • Inventory classification
  • Inventory Modeling
  • Costs Involved in Inventory
  • Economic Order Quantity
  • Forecasting
  • Advanced Forecasting Methods
  • Examples & Case Studies

Visualization and insights

  • Introduction to Data Visualization
  • Introduction to Tableau
  • Basic charts and dashboard
  • Descriptive Statistics, Dimensions and Measures
  • Visual analytics: Storytelling through data
  • Dashboard design & principles
  • Advanced design components/ principles : Enhancing the power of dashboards
  • Special chart types
  • Case Study: Hands on using Tableau
  • Integrate Tableau with Google Sheets
  • R and Python
  • Tableau
  • SAS (Online Module)
  • Hackathons
  • Group Presentation
Sl. No. Chapter
Chapter - 1 Introduction to Analytics:-
Chapter - 2 Statistical Method for Decision Making:-
Chapter - 3 Business Finance:-
Chapter - 4 Marketing and CRM:-
Chapter - 5 Analytics techniques
Chapter - 6 Data Mining:-
Chapter - 7 Predictive Modeling:-
Chapter - 8 Time Series Forecasting:-
Chapter - 9 Machine Learning:-
Chapter - 10 Optimization Techniques:-
Chapter - 11 Domain Specialization
Chapter - 12 Visualization and insights
Chapter - 13 Capstone project

FAQ

  • Understanding the use of business analytics to progress and resolve business problems.
  • It helps in improving the decision-making process.
  • Better layout of strategies
  • Economic and Financial operational strategy.

Business Analytics is a method of exercising and inspecting previous data of an organization which is mostly used to make data-driven decisions.

  • With this, we may infer insights and manage the business direction and in turn, can automate routing.
  • With this, we can assess organization-level processes like development, sales, services, and marketing.

Data Science counters questions like the impact of geography, seasonal issues and customer inclinations on the business. Data Science involves a lot of coding capabilities. Business Analytics is particular to business-related problems like cost, profit, etc. This does not involve coding greatly.

The techniques of business analytics are helping as follows:

  • Modifying the brands functioning manner by supporting them to take more tactical decisions.
  • Rapid processing capabilities
  • Influential decision-making models Better solutions provider.

The factors on which successful business analytics depends are:

  • Data Quality
  • Skilled Analysts
  • Organizational Commitment to using data to get insights that inform business decisions.

Job after the PG Program in Business Analytics you may look for are:

  • Data Scientist (Emphasis on a computer)
  • Data Scientist (Emphasis on analytics)
  • Quantitative Analyst
  • Data Analyst
  • Business Analyst (Manager/Consultant)
  • Fraud Analyst
  • Retail Sales
  • Analyst Statistician

The PG Program in Business Analytics is a management program structured and provided by Careerera. As this is an executive business analytics program that sets up experts for careers in Analytics, a graduate degree in any stream with a minimum of 50% collective marks and work experience is required.

  • An analysis methodology is selected and data is obtained to support the analysis.
  • Involves mining from one or more business systems.
  • Cleansing and integration into a single store like a data warehouse or data mart.

The business analytics helps the organization in

  • Analyzing competitor wisely
  • A quick and wise decision
  • cost control
  • The program is cautiously crafted by eminent academics and industry experts to assist candidates to develop knowledge of the essential and superior topics in Business Analytics.
  • The program aims for candidates to use the analytics skills-sets to resolve actual-world business issues.
  • Various tools and methodologies discussed in the curriculum to gear the candidate skills and prepare them for the field.

The PG Program in Business Analytics is accessible in 2 modes:

  • Classroom-based learning- Classes will be held on weekends
  • Online learning- instructed online sessions will be held on Saturday or Sundays and accordingly.

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