ABOUT THE COURSE
The course is designed to suit the needs of the aspirants for Analytics positions in leading companies. The course offers an in-depth understanding of data analysis, programming languages, data visualization techniques and computational thinking.
This course teamed up with PGDM in Operations Management or PDGM (Ex) Technology & Operations Management will provide a 360-degree learning experience to the learners. This will give the learners with a dual advantage of management and technical know-how.
Learning Outcomes
- Introduction to Data Analysis principles
- Roles and responsibilities of a data analyst
- Get hands-on tool like Excel and Tableau
- Learn the techniques of data mining and data visualization
- Understanding the concept of data ecosystem
Prerequisites
Intermediate understanding of computer programming, languages, and computational thinking.
COURSE SYLLABUS
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Module 1: Introduction
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Module 2: Excel
- Data Analysis in Excel
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Module 3: Statistics & EDA
- Exploratory Data Analysis
- Inferential Statistics
- Hypothesis Testing
- Optimisation
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Module 4: Data Toolkit
- Introduction to Python - I
- Introduction to Python - II
- Programming in Python-1
- Python for Data Science
- Exploratory Data Analysis
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Module 5: SQL
- Data Analysis using SQL
- Data Modelling
- SQL Assignment: IMDb Movies
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Module 6: Visualization using TABLEAU / Data VIS
- Basic Visualisation using Tableau
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Module 7: Machine Learning - 1
- Linear Regression
- Logistic Regression
- Clustering
- Business Problem Solving
- Lead Scoring Case Study
- Tree Models
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Module 8: Machine Learning - 2
- Tree Models
- Time Series Forecasting - I
- Model Selection
- Data Storytelling
Potential Career
- Data scientist
- Machine learning
- Applications architect
- Data engineer
- Infrastructure architecture
