dsba-cover-land

PGD in Data Science & Business Analytics

55,500৳ 

This PGD in Data Science (DS) and Business Analytics (BA) program is designed to be the number one comprehensive program in the market providing the participants a wide-ranging and functional understanding of the broader landscape of DS&BA. The program offers an in-depth exploration of DS&BA concepts, techniques, and applications including but not limited to machine/statistical learning, feature selection, hypothesis testing, experiment design, optimization, time series analysis, text analysis and text mining etc.

Category: Tag:

Description

  • Course Duration: 9 Months
  • Class Duration: 2 Hours
  • Total Units: 6 Units
  • Credit: 120 Credits
  • Classes on: Every Friday

 

Course Content:

Students will gain hands-on experience in data analysis, modeling, and visualization using industry-standard systems and programming languages and state-of-the-art artificial intelligence (AI) tools. The course also covers potential of DS&BA in range of business domains including marketing, project/operations management, HR, finance etc. Through a combination of lectures, case studies, and practical assignments, participants will learn to leverage data-driven insights for effective decision making in their professional fields.

Unit 1: Fundamentals of Data Science and Business Analytics

  • Session 1: Overview of Data Science and Business Analytics
  • Session 2: Introduction to R Programming
  • Session 3: Introduction to Python Programming
  • Session 4: Essential Data Structures and Libraries
  • Session 5: Statistical Inference and Hypothesis Testing

Unit 2: Data Exploration and Basic Modeling Techniques

  • Session 1: Principles of Statistical and Machine Learning
  • Session 2: Linear Regression and Model Evaluation
  • Session 3: Classification Techniques
  • Session 4: Decision Trees and Clustering Methods
  • Session 5: Treatment Effects and Experimental Design

Unit 3: Data Wrangling and Model Validation

  • Session 1: Web Scraping and Data Retrieval Techniques
  • Session 2: Handling Missing Data and Data Imputation
  • Session 3: Model Validation and Performance Metrics
  • Session 4: Feature Engineering and Dimensionality Reduction

Unit 4: Advanced Analytical Techniques

  • Session 1: Advanced ML Techniques
  • Session 2: Text Mining and Natural Language Processing
  • Session 3: Neural Network and Introduction to LLM
  • Session 4: Association Rule Mining, Sentiment Analysis, and Recommendation Systems

Unit 5: Visualization and Data Modeling

  • Session 1: Data Analysis and Visualization – Fundamentals
  • Session 2: Data Analysis and Visualization with Power BI
  • Session 3: Data Analysis and Visualization with Tableau
  • Session 4: Data Modeling and SQL

Unit 6: Forecasting, ML Pipeline, and MLOps

  • Session 1: Time Series Analysis (Exponential Methods) and Anomaly Detection
  • Session 2: Time Series Analysis (Stationary, Curve Fitting, and NN Methods)
  • Session 3: End-to-End Machine Learning (Hands-on Session)
  • Session 4: Overview of MLOps

Reviews

There are no reviews yet.

Be the first to review “PGD in Data Science & Business Analytics”

Related products