Postgraduate Program In Data Science And Analytics

Topics Covered:

✅ Data Analysis in Excel

✅ Analytics Problem Solving

Topics Covered:

✅ Introduction to Python

✅ Programming in Python

✅ Python for Data Science

✅ Data Visualization in Python

✅ Exploratory Data Analysis

✅ Credit EDA Case Study

✅ Inferential Statistics

✅ Hypothesis Testing

✅ Data Analysis using SQL

✅ Advanced SQL & Best Practices

✅ SQL Assignments

Topics Covered:

✅ Linear Regression

✅ Linear Regression Assignment

✅ Logistic Regression

✅ Classification using Decision Trees

✅ Basics of NLP and Text Mining

✅ Unsupervised Learning: Clustering

✅ Business Problem-Solving

✅ Clustering Assignment (Optional)

✅ Case Study: Lead Scoring

Topics Covered:

✅ Tree Models

✅ Model Selection & General ML Techniques

✅ Bagging and Boosting

✅ Advanced Regression

✅ Advanced Regression Assignment

✅ Principal Component Analysis

✅ Time Series Analysis

✅ Telecom Churn Case Study

✅ Introduction to Neural Networks

✅ Convolutional Neural Networks - Introduction and Industry Applications

✅ Assignment

✅ Recurrent Neural Networks

✅ Gesture Recognition

✅ Capstone Project

Topics Covered:

✅ Linear Regression

✅ Bagging & Random Forest

✅ Boosting

✅ Model Selection & General ML Techniques

✅ Principal Component Analysis

✅ Advanced Regression

✅ Advanced ML case Study

✅ Time Series Forecasting

✅ Neural Nets for NLP

✅ Syntactic Processing

✅ Syntactic Processing Assignment

✅ Semantic Processing

✅ Applied DL in NLP

✅ Case Study: Automatic Ticket Classification

✅ Capstone Project

Topics Covered:

✅ Visualisation using Tableau

✅ Advanced Excel

✅ Visualisation using PowerBI

✅ Structured Problem Solving using Frameworks

✅ Data Storytelling

✅ AirBnB Case Study

✅ Bagging & Random Forest

✅ Model Selection & General ML Techniques

✅ Time Series Forecasting

✅ Model Selection Case Study

✅ Operations Research in Excel

✅ Data Architecture

✅ Data Strategy

✅ Business Case Study

✅ Capstone Project

Topics Covered:

✅ Visualisation using Tableau

✅ Advanced Excel

✅ Visualisation using PowerBI

✅ Structured Problem Solving using Frameworks

✅ Data Storytelling

✅ Data Modelling

✅ Advanced SQL and Best Practices

✅ Introduction to Big Data and Cloud

✅ Analytics using Spark

✅ Big Data Case Study

✅ Data Structures - Sets, Dictionaries, Stacks, Queues

✅ Searching and Sorting

✅ Algorithm Analysis + Recursion

✅ Advanced Database Programming using Pandas

✅ Python & SQL Lab

✅ Capstone Project

Topics Covered:

✅ Data Management and Relational Database Modelling

✅ Introduction to Big Data(Optional)

✅ Introduction to Cloud and AWS Setup

✅ Introduction to Hadoop and MapReduce Programming

✅ Assignment (Optional)

✅ NoSQL Databases and Apache HBase and NoSQL Databases and MongoDB(Optional)

✅ Data Warehousing (Optional)

✅ Data Ingestion with Apache Sqoop and Apache Flume

✅ Map reduce Programming Assignment

✅ Hive & Querying

✅ Amazon Redshift

✅ Introduction to Apache Spark

✅ AWS Cloud Infrastructure 

✅ Optimising Spark for Large Scale Data Processing

✅ Apache Flink

✅ Real-Time Data Streaming with Apache Kafka

✅ Real-Time Data Processing using Spark Streaming

✅ Building Automated Data Pipelines with Airflow

✅ Analytics using PySpark

✅ Project: Real Time data processing

✅ Capstone Project