Data Science / Machine Learning through Python

Data Science / Machine Learning through Python
Pick up cutting-edge skills to solve business problems using data mining algorithms

90Hours programme

Contact hours: 60 hours

Conceptual Learning
Hands-on Learning
Projects/ Assignments
Case studies/ Use cases

For Enrollment

Programme Objectives

The “Data Science through Python” programme is a specialized programme that intends to empower professionals across industries and business functions with cutting-edge skills in data analytics, particularly in Data Science.

The programme also offers a skill-building platform for all professionals interested in devising analytics-driven solutions to business challenges using Python, the vastly popular open-source statistical analysis software.

Who should go for the Programme?

The “Data Science through Python” programme has been designed & developed primarily for professionals keen to work in the emerging & rapidly growing analytics industry.

The programme is of significant value to professionals across industries (banking, retail, technology, media, telecommunications, airlines, etc) as well as across business functions (marketing, finance, human resources, operations, etc), who wish to gain expertize in the extremely powerful & useful area of data science.

Professionals who wish to acquire proficiency in Python, the popular open-source statistical analysis software, would also benefit from the programme.

Key Takeaways

After successful completion of the “Data Science through Python” programme, participants will be able to:

Envisage & articulate the principal phases of a Data Science centric solution to business challenges
Develop awareness of and competency in the major algorithms for data science
Acquire proficiency in applying a wide variety of statistical & mathematical functions in Python
Develop Python-based analytics-driven solutions to business problems
Design & implement end-to-end Data Science solutions in their businesses
Evaluate accuracy & effectiveness of the Data Science models developed by and/or deployed in their organizations

Learning Mode

Curriculum Overview

Introduction to Data Science

The CRISP DM Methodology

Understanding the Business

Understanding the Data

Data Preparation

Data Consolidation
Variable Treatment
Treatment of Missing Values
Treatment of Outliers
Managing Special Values
Variable Binning

Dimensionality Reduction

Information Value
Principal Components Analysis
Variable Classing
Variance Inflation Factor

Modelling in Data Science

SupervizedModels
Linear Regression
Logistic Regression
Decision Trees
Discriminant Analysis
UnsupervizedModels
Cluster Analysis
Association Rule Mining

Model Evaluation & Implementation

Introduction to Text Mining

Case studies/ Use cases

Projects/ Assignments

Evaluation/ Examination

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Are there any Learning Pre-requisites?

The “Data Science through Python” programme is essentially of a relatively specialized nature, and hence there are certain learning pre-requisites for the programme.

In order to enhance the efficiency & effectiveness of participants’ learning, it is desirable that participants possess some basic knowledge of Statistics. In addition, prior awareness of and/or exposure to probability theory, linear algebra and calculus would facilitate participants’ learning efficiency.

Prior knowledge of computer programming is not necessary, though this will provide an added advantage.

Participants with no prior exposure to the learning pre-requisites (Statistics, probability theory, probability distributions, etc), as well as participants who wish to refresh their knowledge of these areas, can rapidly bring themselves up to speed through our specially-designed preparatory programme – the “Essentials of Business Analytics” programme.