Master in Data Analyst

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Introduction AI & ML

Modern business relies more and more on data analytics for understanding, predicting patterns, forecasting, monitoring and optimising its processes while managing and supporting suppliers for taking more informed decisions. Understanding the application of big data technologies for instant processing and predicting is a key skill in today’s global market.

Business Analytics is the combination of skills, technologies, applications and processes used by organizations to gain data-driven insights. These insights can be used to aid decision-making across functional areas and industry sectors. In the recent time we have seen almost all the sectors of industry capturing huge amount of data and in quest to organise, filter and analyse this data for meaningful decision making.

Why Join Post Graduate Certificate In Business Analytics

Tools, Languages and Databases Used

About Program

The program is suitable for professionals of all levels and disciplines, as job roles are gradually becoming more complex. Multitasking with projects executed with lean teams is a phenomenon. In such situation, an in-depth knowledge, understanding and application of data analysis techniques is a must

About AIMA

All India Management Association (AIMA), as the national apex body of management profession in the country is committed to enhancing the competence of management profession through its multifaceted activities. AIMA has a broad base of 67 Local Management Associations including two cooperating LMAs abroad, with a membership of over 30,000. AIMA is represented on the Boards of India’s premier Business Institutions and also represented on Boards of Government bodies including the AICTE, National Board of Accreditation, National Productivity Council to name a few. In addition, AIMA brings to the Indian managers, the best management practices and techniques through numerous foreign collaborations with professional bodies and institutions.

About SAS

SAS is a trusted analytics powerhouse for organizations seeking immediate value from their data. A deep bench of analytics solutions and broad industry knowledge keep our customers coming back and feeling confident. With SAS®, you can discover insights from your data and make sense of it all. Identify what’s working and fix what isn’t. Make more intelligent decisions. And drive relevant change.

Program Structure

The PGCM –Business Analytics is recommended to anyone involved in the planning, implementation, monitoring and measuring the effectiveness of data and Big Data strategy – or anyone who is looking to add a new skill set and pursue a career in this dynamic field of business analytics/data sciences. The program is suitable for professionals of all levels and disciplines, as job roles are gradually becoming more complex. Multitasking with projects executed with lean teams is a phenomenon. In such situation, an in-depth knowledge, understanding and application of data analysis techniques is a must.

Program Flow

Analytics

Key Features

Term 1: Everything about Data
Module 1: Problem-Solving Foundations & Complexity
  • Problem decomposition
  • Time/space complexity
  • Complexity of common operations
  • Coding hygiene for placements
Module 2: Fundamentals of Data Analytics & Programming Essentials
  • Data Analysis with Advanced Excel
  • Python — Programming Essentials
  • Introduction to Analytics and R
  • Data Visualization Part 1
Term 2: Big Data Management Platforms & Fundamentals
Module 3: Mathematical & Statistical Approach
  • Algorithms for Big Data
  • Probability and Statistics
  • Data Analytics using R
  • Real Analysis
Module 4: Data Visualisation & Prediction
  • Base SAS Programming / Tableau
  • Predictive Modelling
Term 3: Big Data Analytics & Engineering
Module 5: Big Data Analytics
  • Hypothesis and Inference
  • Big Data Analytics with Python
  • Data Mining
  • Big Data Analytics with Hadoop
Module 6: Big Data Engineering
  • Distributed System & Big Data Engineering with Hadoop – Part 1
  • Distributed System & Big Data Engineering with Hadoop – Part 2
  • SCALA for Big Data
  • Spark for Big Data
Term 4: Data Science
Module 7: Data Science Part I
  • Understanding Machine Learning
  • Machine Learning with Python
  • Deep Learning & Neural Networks
  • Natural Language Processing
Module 8: Data Science Part II
  • Elective 1: Marketing Analytics
  • Elective 2: HR Analytics
  • Elective 3: Fraud Analytics
Term 5: Specialisation
Module 9 & 10: Electives
  • Reimagining Research Methodology using Data Science
  • Business Intelligence
Term 6: Internship / Training / On-the-Job Training
Module 11 & 12
  • Internship / Training / On Job Training
  • Participants work as interns for two months based on specialization

Certifications:

AICTE Certification

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SAS Certification

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Vidyalankar and Skillville

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Placement:

Eligibility

Category 1

Category 2

Prerequisite to join the Program

Program Duration

Mode Of Delivery

Total Fees

10+2 Months

Blended Learning

INR 5,00,000/-

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