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Foundation Programme in Data Science

Grasp the fundamental concepts of Data Science and Big Data Analytics. Learn Data Mining Techniques for Big Data using Python & R. Secure a dream job as a Big Data Engineer or Big Data Analyst.

On-campus training in Malaysia: 24 hours

Calendar-On-Campus Classes

Data Science

data science foundation course reviews - 360digitmg

Total Duration

3 Months

data science foundation course pre-requisite - 360digitmg


  • Computer Skills
  • Basic Programming Knowledge
  • Analytical Mindset

Data Science Foundation Programme Overview

This course will enable you to understand Data Science and how it can help businesses derive meaningful insights from historical data. You will learn how to deal with Big Data, understand the various other data types and methods to deal with the same. You will learn how to employ Data Mining techniques to deal with big, unstructured data. The use of Machine Learning algorithms to perform the predictive analysis is highlighted in this course. This course will teach you how to analyze big data and devise strategies to help your organization reap benefits.

Course Details

Modules for Fundamentals of Data Science Course

The Data Science Foundation course will be your first stepping stone towards Data Science. You will learn the art of churning the data for finding out patterns. In this module, you will be introduced to the analytics programming languages. R is a statistical programming language and Python is a general- purpose programming language.These are the most popular tools currently being looked upon to churn the data for deriving insights. Learn about the most commonly used packages / libraries for Data Science.

Data Analytics can be explained in 4 stages: Descriptive, Diagnostic, Predictive and Prescriptive.To resolve a business problem, we need to understand the cause of the problem. Business statistics is the stage of Data analysis where we dig into the raw data to find out the patterns. EDA also known as Exploratory Data Analysis is performed to understand what has happened with the business. In this tutorial, you will learn how statistical computing is applied to perform Descriptive Analytics.

Predictive Analytics is performed to estimate an unknown value for a business. Learn the science of predicting a parameter using a sample set of data. You will also learn how to build confidence while estimating with quantifiable value.

How about mocking a business condition and making inferences before you take action to ascertain a business condition. In this tutorial, you will learn how to make a Hypothesis for a business condition. What are the rules in making such assumptions? Learn about the conditions that may arise while inference of a solution for business problems.

Understand how a project is undertaken using analytics. Learn about the life cycle and the detailed understanding of each step while project accomplishment. The CRISP-DM process is applied in general for Data Analytics projects, learning about CRISP-DM and the stages of the project life cycle.

Mining the data to derive interesting insights is a process called Data Mining. Supervised learning is a branch of study to perform Predictive Analytics. In this module, you will learn to predict the dependent variable based on the features which influence it. You will also learn different techniques used to predict numeric and non-numeric values.

Understand the Descriptive Analytics strategies performed by mining the data using mathematical techniques. Learn to derive insights by segregating the data into homogeneous groups and heterogeneous groups of observations. Understand the relationship between entities to help explain correlations between attributes. Learn to handle high dimensional data to help achieve better performance on the models.

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The data science market in Asia Pacific Region will reach $1,95,677.5 million by 2023.

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data science foundation course in malaysia - 360digitmg

24 hours

Classroom Sessions

data science foundation course in malaysia - 360digitmg

60 hours

Assignments &

data science foundation course in malaysia - 360digitmg

60 hours

Live Projects

Who Should Sign Up?

  • Graduates
  • Freshers, Junior/Mid-Level Executives
  • Employees of Organizations
  • Managers

Tools Covered

data science foundation course - 360digitmgdata science foundation course - 360digitmgdata science foundation course - 360digitmg

Many of the South-Eastern nations including Malaysia are rich in minerals, natural gas, and petroleum. The natural resources of these regions give them an advantage over most nations of similar size, making them an economic power. This affluence led to the rapid development and industrialization of Malaysia making it a hub for investment by many global MNC's. The use of Data-driven decision making is on the rise in most countries. Therefore there is a huge demand for courses that can teach the basics of data-driven decision making. Both middle and top management derive benefit from courses on “ Fundamentals of Data Science ”. These courses enable them to employ Data Analytics in decision making.

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data science foundation certification course - 360digitmg

Data Science for Beginners Panel of Coaches

agile certification trainers - 360digitmg

Bharani Kumar Depuru

  • Areas of expertise: Data Analytics, Digital Transformation, Industrial Revolution 4.0.
  • Over 14+ years of professional experience.
  • Trained over 2,500 professionals from eight countries.
  • Corporate clients include Hewlett Packard Enterprise, Computer Science Corporation, Akamai, IBS Software, Litmus7, Personiv, Ebreeze, Alshaya, Synchrony Financials, Deloitte.
  • Professional certifications - PMP, PMI-ACP, PMI-RMP from Project Management Institute, Lean Six Sigma Master Black Belt, Tableau Certified Associate, Certified Scrum Practitioner, AgilePM (DSDM Atern).
  • Alumnus of Indian Institute of Technology, Hyderabad and Indian School of Business.
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agile certification trainers - 360digitmg

Sharat Chandra Kumar

  • Areas of expertise: Data Science, Machine Learning, Business Intelligence and Data Visualisation.
  • Trained over 1,500 professional across 12 countries.
  • Worked as a Data Scientist for 14+ years across several industry domains.
  • Professional certifications: Lean Six Sigma Green and Black Belt, Information Technology, Infrastructure Library.
  • Experienced in Big Data Hadoop, Spark, NoSQL, NewSQL, MongoDB, R, RStudio, Python, Tableau, Cognos.
  • Corporate clients include DuPont, All-Scripts, Girnarsoft (College-dekho, Car-dekho) and many more.
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agile certification trainers - 360digitmg

Nitin Mishra

  • Areas of expertise: Data Science, Machine Learning, Business Intelligence and Data Visualisation.
  • Over 20+ years of industry experience in Data Science and Business Intelligence.
  • Trained professionals from Fortune 500 companies and students from prestigious colleges.
  • Experienced in Cognos, Tableau, Big Data, NoSQL, NewSQL.
  • Corporate clients include Time Inc., Hewlett Packard Enterprise, Dell, Metric Fox (Champions Group), TCS and many more.
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data science foundation certificate course - 360digitmg
data science foundation certificate course - 360digitmg


Earn a certificate and demonstrate your commitment to the profession. Use it to distinguish yourself in the job market, get recognised at the workplace and boost your confidence. The Data Science Certificate is your passport to an accelerated career path.

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FAQs for Foundation Programme in Data Science

The entire course is lab-based. The class is a mixture of theory along with hands-on exercises.

Python and R are open source programming languages in pursuit of robust Data Science. Both languages can be used for Big Data Analytics Python is a general-purpose programming language whereas R language was developed for statisticians. It is advised that a Data Scientist should learn both Python and R language so that strengths of both complement each other while handling complex Big Data. Both are useful for Data Mining.

Data Scientist training can be taken from all sectors and people from all experiences. The foundation program in Data Science will help you update your skills for an exciting Data Scientist career. You can also become a Data Engineer. You bring in the Industry experience, which will give you an idea on what a Data Scientist needs to achieve and how to build strategies keeping in mind the business end goals.

To become a successful data scientist one should have a basic understanding of mathematics, statistics & probability. However, 360DigiTMG provides all the basic introductory learning on Probability and Statistics that will help you prepare the foundation.

Our faculty are industry experts with around 15+ years of experience. Our trainers work on real-time projects with various clients and bring that experience into their teaching methodology. This way students get rich real-time exposure on the most trendy concepts in the industry today.

Data Science is the sexiest job of the 21st century. Companies worldwide are putting all efforts to analyze their data and are falling short of quality resources. All the job portals have many data science positions open worldwide to fill in these shortages.

If you miss a class, we will arrange for a recording of the session. You can then access it through the online Learning Management System.

The most popular tools in Data Science field including R and Python will be covered in this Foundation Program on Data Science.

Each student is assigned a mentor during the course of this program. If the mentor feels that additional support is needed to help the student, we may refer you to another trainer or mentor.

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