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Foundation Program in Data Science

Get started with Data Science and Big Data Analytics by getting a firm grip of the fundamentals. Also get an introduction to data mining techniques using Python and R. Land a dream job as Big Data Engineer or Big Data Analyst!

Live Online Instructor-led training: 40 hours

Data Science Foundation Program Overview

The purpose of this course is to enable the students to understand the basic concepts of Data Science and how enterprises can extract insights from data. You will be introduced to the different types of data including Big Data and how to deal with each of them using Python and R. You will use data mining techniques on both structured and unstructured data. One of the highlights of this course is that it teaches you the use of machine learning algorithms to analyze big data.

Course Details

Data Science Course Learning Outcomes

Gain understanding about commonly used Data Science Packages of R and Python
Churn the Data using Mathematical computations
Develop Predictive analytical solutions to enable data driven decisions
Peek into the Project life cycle for Data Analytics projects
Develop Models to Predict a variable of interest using Supervised Learning techniques
Derive insights from the business Data using Unsupervised Learning techniques

Modules for Fundamentals of Data Science Course

This module introduces the popular programming languages- R and Python. They are used in Statistics, Machine Learning and Data Science. We will see the programming paradigms, similarities, and differences between both languages. It will also familiarize the users with some of the important data structures of each language.

This module introduces the participants to the basic statistical foundations that every analyst is expected to know. Learners will be introduced to the concepts of Random Variables, Probability Distributions, First, Second, Third and Fourth moments of a Probability Distribution Function and other summary and Descriptive Statistics.

This module deals with various concepts of the Predictive Analytics Domain and introduces some of the fundamental heuristics. We learn about Confidence Intervals, Predictive Power, and Power of a test.

This module will talk about hypothesis testing which is a very common technique in deciding whether a process needs to be changed or not. This will be done using various tests for two or more distributions (ANOVA).

This module briefly describes the overall life cycle of a Data Analytics project. The framework relies heavily on the Cross-Industry Standard Process for Data Mining (CRISP-DM) methodology which was developed while dealing with such tasks. All the lifecycle stages from business problem formulation to model deployment are discussed in detail.

This module introduces a major paradigm of Machine Learning - Supervised Learning. As the name suggests, the goal of this particular approach is to use labeled historical data and learn patterns and make predictions on future data.

This module describes the other major paradigm of Machine Learning - Unsupervised Learning. This is different from the approach previously discussed as there is no labeled data in here. The approaches try to learn from the data and group them into Clusters or Segments or reduce the dimensions based on some heuristic.

The job requirements for data science is projected to boom from 365,000 openings to 2,721,000 in the coming years.

(Source: https://analyticsindiamag.com)

Block Your Time

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40 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.

Data Science

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Total Duration

3 Months

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  • Computer Skills.
  • Basic Programming Knowledge.
  • Analytical Mindset.

Tools Covered

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USA has long been the home of technological innovation with Silicon Valley representing the pinnacle of high tech industry. The US Department of Labor estimates (which usually tend to be highly conservative) estimates that the employment for computer and research scientists (read Data Science professionals) will grow by 19% by the year 2026. USA is also a highly diverse country where a lot of cultures and subcultures merge to form a beautiful and inviting community. This offers a choice selection of cuisines to satisfy every palette. The US is truly a dream destination for tech aspirants!

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Data Science for Beginners Panel of Coaches

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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.
Read More >
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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.
Read More >
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.
Read More >
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 Foundation 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.

R and Python 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 trending 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.

All the sessions are recorded and available to revisit in our AI-Powered LMS AISPRY . You will have access to the LMS for a period of 3 months. The access can be extended on a need basis.

The most popular tools in Data Science field including R and Python will be covered in this Foundation Program on Data Science. Additionally, you are welcome to attend our introductory course in Tableau

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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