Certificate Course in Analytics, Data Sciences & General Management

Executives looking to fast forward their careers in the growing areas of data analytics and sciences can look forward to enroll for certificate courses offered by IBS, Hyderabad. The projected jobs in data science and data engineering are expected to be around 7,00,000 by 2021. This projected demand needs the right skills and knowledge. IBS Hyderabad, with its qualified faculty will be the right choice for you to fast track your career.

Key takeaways

  • Utilization of a variety of statistical and computer science tools and techniques to analyze data.
  • Description and use of tools and technologies required to model and analyse big data sets.
  • Effective designing, modeling and management of databases.
  • Defining requirements, developing an architecture and implementing a data warehouse plan
  • Learning by hands-on experience.

Eligibility

Participants should be Graduates in any discipline with at least one year of work experience. On applying for the course, participants will have to appear for a formal interview.

Course Delivery

Classes are held at IBS Hyderabad campus (Dontanpally, Shankerpally Road) and at City Campus (Nagarjuna Hills, Punjagutta) on all Second Saturdays and Sundays. Certificate Programs are offered in highly flexible and customized durations ranging from 10 hours to 240 hours. Pricing and course content vary by duration.

Highlights

  • Weekend sessions to suit executive needs
  • Classes will be conducted separately for executives and students
  • Facility to attend Classes based on choice of venue (IBS Hyderabad Campus-Dontanapally / City Campus- Nagarjuna Hills, Punjagutta)
  • Students (full-time) from recognized Institute and Colleges are eligible for discounted fee (subject to validation of proof)
  • Flexibility to attend some sessions in online mode to maintain work session balance
  • Lectures/sessions delivered by IBS faculty and Industry experts
  • Certificate of completion from IBS Hyderabad

Finance

  • Financial Risk Management
  • Commodities & Commodity Derivatives
  • Investment Banking
  • Corporate and SME Banking
  • Global Capital Markets
  • Insurance Management
  • International Banking
  • International Finance & Trade
  • Wealth Management
  • Project Appraisal and Finance
  • Financial Statements Analysis
  • Security Analysis
  • Quantitative Finance Using SAS
  • Treasury Management
  • Portfolio Management & Mutual Funds
  • Strategic Cost Management
  • Strategic Financial Management
  • Financial Services
  • Mergers & Acquisitions

Analytics

  • Marketing Analytics
  • HR Analytics
  • Healthcare Analytics
  • Banking & Financial Analytics
  • Insurance Analytics
  • Supply Chain Analytics
  • Financial Services Analytics

IT & Operations

  • Business Analysis
  • Business Intelligence / Analytics
  • Business Modeling and Simulation
  • Project Management
  • Supply Chain Management
  • Quality and Innovation Management
  • Services Operations Management

HRM

  • Strategic Human Resources Management
  • Competency Mapping and Assessment
  • Leadership Skills and Change Management
  • Managing Knowledge Workers
  • OD Diagnosis and Interventions
  • Performance Management and Reward System
  • Human Resources Planning
  • Employee Relations and Employment Laws

Marketing

  • Marketing of Financial Services
  • Brand Management
  • Consumer Behaviour B2B Marketing
  • Integrated Marketing Communication
  • Customer Relationship Management
  • Retail Management
  • International Marketing
  • Entrepreneurship Development
  • Green Marketing
  • Sales & Distribution Management
  • Services Marketing

Healthcare

  • Health Services Informatics
  • Healthcare Quality Management
  • Patient Care Management
  • Health Insurance Management
  • Indian Health Systems
  • Medical Records Management
Operations-icon
  • Analyzing stakeholders
  • Defining expectations
  • Defining project deliverables
  • Analyzing scope
  • Developing schedules
  • Mitigating risk
  • Contingency planning
  • Establishing and applying effective change controls
  • Performance reporting
  • Communicating status to project stakeholders
Operations-icon
  • Supply Chain drivers and performance metrics of Sourcing and Inventory
  • Supply Chain Optimization: Sourcing and Inventory
  • Forecasting and Predictive modeling
  • Supplier analysis frameworks: Sourcing decisions
  • What-if-scenarios for category analysis
  • Inventory Planning models
  • Sales & Operations Planning
  • Simulation of Demand and Inventory
Operations-icon
  • Overview of Six Sigma
  • Fundamentals of Six Sigma
  • Lean Fundamentals
  • Process Capability Measurement
  • Six Sigma Statistics
  • Hypothesis Testing (non-normal)
  • Patterns of Variation
  • Inferential Statistics
  • Statistical Process Control, Lean Control
Operations-icon
  • Applications of Data Science
  • Mathematical Foundations of Data Science
  • Basic concepts of Data Structures and Algorithms
  • Data Mining
  • Machine Learning (Supervised Learning, Unsupervised Learning, Clustering Methods, Basic concepts about Neural Network, Support Vector Machine)
  • Data Visualizations
  • Applications of R and Python
  • Optimization Methods in Data Science
Operations-icon
  • Concepts of Data Mining
  • Business Intelligence, Business Analytics
  • Descriptive and Predictive Analytics
  • Data Mining
  • Market Basket Analysis and Association Rules
  • Cluster Analysis and Classification
  • Factor Analysis: Exploratory Factor Analysis
  • Classification and Prediction by Decision Trees
  • Artificial Neural Networks
Operations-icon
  • The Fundamentals of Artificial Intelligence
  • Introduction to Expert System
  • Concept of Algorithm
  • Agents and Environment, Concept of Rationality, Structure of Agents
  • Solving problem by search
  • Informed Search, Constraint satisfaction problem and Adversarial Search
  • First Order Logic, Use of First Order Logic
  • Forward and Backward Chaining
  • Knowledge Representation
  • Uncertain Knowledge and Reasoning
  • Introduction to Neural Networks
  • Applications of Artificial Intelligence
Operations-icon
  • Overview of Retail Analytics
  • Store Location and Aite Selection
  • CRM analytics in Retail, RFM Analysis, Market Basket Analysis, Lifetime Value Analysis,
  • Social Media Analytics in Retail
  • Financial Analytics in Retail
  • Supply Chain Analytics in Retail
  • Store Management Analytics
  • Pricing Analytics in Retail
Operations-icon
  • Introduction to Marketing Analytics
  • Unstructured Data Cleansing
  • Predictive Analytics
  • Pricing Analytics
  • Customer Preference Analytics
  • Customer Life Time Value
  • Market Segmentation
  • Social Media Analytics
Operations-icon
  • Overview of Digital Marketing Tools and Key Performance Indicators
  • Customer Acquisition Channel Performance
  • Conversion and Attribution Analytics
  • Social Media Advertising 2.0
  • Digital Advertising Campaign Analytics
  • Email Marketing
Operations-icon
  • Sales Prospecting – Call and Leads
  • Sales Planning and Forecasting
  • Sales Metrics – Quotas
  • Territory Mapping
  • Channel Performance
  • Inbound and Outbound Logistics
  • Sales Force Compensation
  • Promotion Expenditures Analytics
  • Dashboard Tools
  • Customer Perceptions
Operations-icon
  • Brand Portfolio Strategies
  • Brand Practices & Engagement
  • New Product Introduction
  • Brand Identity Communications
  • Corporate Branding
  • Measuring Brand Equity
  • Managing Brand Architecture

HumanResource-icon
  • Introduction to HR Metrics
  • Descriptive Analytics
  • Predictive Analytics in HR
  • Prescriptive Analytics in HR

finance-icon
  • Introduction to BFS Analytics
  • Predictive Analytics
  • Banking Risk Analytics – Data Mining for Risk Management and BASEL III
  • Analytics for Fraud Detection
  • Credit Risk Modeling
  • Value at Ri
finance-icon
  • Introduction to Financial Analytics
  • Decision making under Uncertainty
  • Simple Linear Models
  • R Language for Analytics
  • Time Series Forecasting
  • Stationarity and Unit Root Testing
  • Random Walk Models
  • ARMA, ARIMA Models
  • ARCH and GARCH
  • Valuation of Securities
  • Risk and Return
  • Techniques of Capital Budgeting
  • Project Cash Flows
  • Risk Analysis in Capital Budgeting
  • The Cost of Capital
finance-icon
  • Introduction to Basic accounting concepts
  • Balance Sheet & Ratios
  • Recognition of Expenses
  • Gains and Losses & Income Statements
  • Statistical Tools (Mean/Median/Mode/Standard deviation/ANOVA)
  • Software for Analytics (R/Python)
  • Basic Coding for Analytics
  • Ratios and Forecasting
  • Financial Statement Analysis
  • Earnings Management
  • Big Data and Prediction Models
  • Accounting Analytics & Corporate Governance
finance-icon
  • Introduction to Credit Risk Analytics
  • Data Processing for Credit Risk Modelling
  • Credit Scoring
  • Probability of Defaults
  • Discrete Time Hazard Models
  • Continuous Time Hazard Models
  • Low Default Portfolios
  • Default Correlation and Credit Portfolio Risk
  • Loss Given Default and Recovery Rates
  • Exposure at Default and Adverse Selection
  • Bayesian Models for Credit Risk Modelling
  • Model Validation
  • Stress Testing