Data Scientist
★★★★★ 5/5
Career Path program
Embarking on the path of a Data Scientist will immerse you in the forefront of technological advancements within the industry, allowing you to harness the power of cutting-edge machine learning algorithms and leverage the potential of deep learning frameworks.
New Session Starting:
1st of Dec 2023.
Program Duration: 10
months.
4-8 hrs/week.
Learning Format:
On-site Classes.
Course Overview
This course is designed to provide students with a comprehensive understanding of data science concepts and tools, enabling them to extract insights from data and make informed decisions. Students will learn how to collect, clean, and analyse data, and build predictive models using machine learning algorithms.
Key Elements:
- 8X more interaction in on-site classes led by industry professionals.
- 7 modules and 1 final ending project.
- A comprehensive blended learning programme.
Relevant Courses
For further inquiry & details:
Learning Path
Introduction to Data Science
Getting started with data science with the introduction of the course, and exploring course modules in detail.
Data collection, cleaning, and preprocessing techniques
In this module, you will learn some data exploratory techniques like correlation, regression, and hypothesis testing to get a better insight into your data.
Machine Learning fundamentals
You will learn some basics of machine learning and its types. You will also learn some machine learning algorithm types like supervised and unsupervised algorithms.
Predictive modeling for better experience
In this module, you will learn about some data management techniques like decision trees and random forests for better data handling and smooth user experience.
Evaluation and optimisation of machine learning models
This module will introduce you to some data evaluation metrics and cross-validation techniques for optimising your data performance.
Techniques for working with big data and distributed computing
You will learn about big data and distributed computing in this module and some popular big data platforms like Hadoop and ApacheSpark for handling huge amounts of data.
Data Visualisation and Communication
Finally, you will learn about some tools and techniques of data visualisation, and how you can effectively represent your data.
Learning Path
Introduction to Full-Stack Development - MERN Stack
Getting started with full-stack development with the introduction of the course, and exploring course modules in detail.
Develop interactive Front-End with React
Learn all the basic and advanced concepts of front-end development including the major front-end development platforms like HTML, CSS, Javascript, and React.js Frameworks.
Fully functional Back-End with RESTFul and MongoDB
Learn all the basic and advanced concepts of back-end development including the major back-end development platforms like Node.js, Databases, RESTFul API and MongoDB.
Full-Stack Development - Merging Front-End and Back-End
Now, you will move towards the integration of the front-end and back-end and scaling them to make your website interactive and user-friendly.
Final Project: Predicting Customer Churn for a Telecom Company
As a data scientist for a telecom company, you are tasked with building a model to predict customer churn. Churn refers to customers who have stopped using the company’s services, and predicting churn can help the company retain customers by identifying those who are likely to leave and offering them incentives to stay.
Data Scientist Certification Advantage
To distinguish your profile as a Data scientist, this thorough curriculum covers more than 10 software development tools and technologies.
With this programme, you will:
- Learn fundamental concepts of data science from recognised experts in the field, with information relevant to the industry.
- Implement the concepts of data science in a project and utilise its properties.
- Earn a course completion diploma that is recognised by the industry.
Skills Covered
- Data visualisation.
- Machine Learning.
- Data Evaluation.
- Data Optimisation.
- Predictive Modelling.
Tools Covered
Industry Trends
Within the projection period of 2021 to 2028, the global market for data science is anticipated to experience significant growth, reaching a size of approximately USD $195.5 billion.
Data Scientist
Industry Growth
40% Annual Growth
For the field of Data Scientist jobs, there is a promising outlook from 2022 to 2031
1 Million New Jobs
According to NASSCOM, the number of data scientist profiles is projected to witness substantial growth by 2022
Data Scientist
Annual Salary
Minimum
£71,941
Average
£1,04,054
Maximum
£117,000
Our Requirements
This course is suitable for a diverse range of candidates. Whether you are an analyst or researcher looking to enhance your skills, a programmer or software engineer aiming to transition into data science, a business professional seeking to leverage data insights, a recent graduate interested in specialising in data science, or simply a curious learner passionate about data analysis, this course is designed to cater to your needs.
- Strong Foundation in Mathematics and Statistics.
- Proficiency in a Programming Language (such as Python or R).
- Familiarity with Data Manipulation and Analysis.
- Knowledge of Machine Learning Concepts.
- Domain Knowledge (relevant to the organisation’s industry).
