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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. Land a dream job as Big Data Engineer or Big Data Analyst!
  • 40 Hours Classroom & Online Sessions
  • 60 Hours Assignments & Real-Time Projects
  • Complimentary Python and R Programming Beginners Course
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data science foundation course review in USA - 360digitmg
3152 Learners
Academic Partners & International Accreditations
  • Data Science using Python and R Program with Microsoft
  • Data Science using Python and R Program course with nasscomm
  • Data Science using Python and R Program course
  • Data Science using Python and R Program course with SUNY
  • Data Science using Python and R Program course with NEF

"The job requirements for data science is projected to boom from 365,000 openings to 2,721,000 in the coming years." - (Source). The USA has long been the home of technological innovation with Silicon Valley representing the pinnacle of the high tech industry. The US Department of Labor estimates (which usually tend to be highly conservative) that the employment for computer and research scientists (read Data Science professionals) will grow by 19% by the year 2026. The 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 wide variety of cuisines to satisfy every technical palette. The US is truly a dream destination for tech aspirants and the domain of data science brings with itself one of the most exciting career paths of all times. Join the best Data Science training institute in the USA and be ready for the data revolution.

Data Science

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Total Duration

3 Months

data science foundation course pre-requisite - 360digitmg


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

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.

What is Data Science?

Organizations collect tons of data which is most of the time underutilized and contains meaningful information. The information needs to be extracted to drive actionable insights that can be used to make critical decisions. This is where Data Science comes to our rescue and extracts actionable insights from raw data. Every experience our senses perceive is data and we see and feel its impact around us in the form of incalculable benefits in business, research, and our everyday lives. Countries today are racing to digitize all information to sift through massive lakes of data, trying to look for connections and patterns that can deliver breakthrough insights.

Data Science Course Learning Outcomes

This course in Data Science aims at laying down a strong foundation in all the concepts of data science which are domain-specific or technical. They will develop the capability to handle a deep set of core competencies in the area of programming, statistics, data analytics, machine learning, data wrangling, and data visualization. Students will be able to make use of quantitative and qualitative methods and strategies to acquire, manage, analyze, and generate insights from data. They will be able to develop the skills and techniques needed to run classification and predictive analytics over various types of data. They will gain experience in techniques used to recognize patterns in data and establish data relationships. They will also become familiar with modern open-source programming languages and will demonstrate the ability to communicate their findings using a high level of tools to visualize data. In today’s data-rich environment, they will be able to appreciate the various data analytics tasks which include extraction, cleaning, prediction, and interpretation of data. This course focuses on both practical and technical perspectives where students will get an opportunity to gain hands-on experience of working with real data using R and Python. So, if you have a passion for discovering answers through data analysis then join this foundation course in Data Science and earn a certification that will help you to accelerate your career growth. You will also

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

Block Your Time

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40 hours

Classroom Sessions

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60 hours


data science course - 360digitmg

60 hours

2 Live Projects

Who Should Sign Up?

  • IT Engineers
  • Data and Analytics Manager
  • Business Analysts
  • Data Engineers
  • Banking and Finance Analysts
  • Marketing Managers
  • Supply Chain Professionals
  • HR Managers
  • Math, Science and Commerce Graduates

Modules for Fundamentals of Data Science Course

This module covers all aspects of data science including data manipulation, visualization, foundational knowledge in probability and statistics, preprocessing using modern tools along with the theoretical and practical aspects of predictive analytics algorithms. The modules have been designed to convey the skills required for using open-source tools to run data analytics. They will also run you through the basic principles needed to study and interpret data and teach you to put across your findings effectively through written and oral reports. Students will be able to identify and develop the ability to evaluate, integrate, and apply the appropriate skills required to design models for prediction using ML algorithms.

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.

Tools Covered
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How We Prepare You
  • data science foundation course in USA
    Additional Assignments of over 60-80 hours
  • data science foundation course in USA
    Live Free Webinars
  • data science foundation course in USA
    Resume and LinkedIn Review Sessions
  • data science foundation course in USA
    3 Month Access to LMS
  • data science foundation course in USA
    24/7 Support
  • data science foundation course in USA
    Job Assistance in Data Science Fields
  • data science foundation course in USA
    Complimentary Courses
  • data science foundation course in USA
    Unlimited Mock Interview and Quiz Session
  • data science foundation course in USA
    Hands-on Experience in a Live Project
  • data science foundation course in USA
    Life Time Free access to Industry Webinars

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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 18+ years of professional experience
  • Trained over 2,500 professionals from eight countries
  • Corporate clients include Deloitte, Hewlett Packard Enterprise, Amazon, Tech Mahindra, Cummins, Accenture, IBM
  • Professional certifications - PMP, PMI-ACP, PMI-RMP from Project Management Institute, Lean Six Sigma Master Black Belt, Tableau Certified Associate, Certified Scrum Practitioner, (DSDM Atern)
  • Alumnus of Indian Institute of Technology, Hyderabad and Indian School of Business
Read More >
Artificial Intelligence & Deep Learning Course Training -360digitmg

Sharat Chandra Kumar

  • Areas of expertise: Data sciences, Machine learning, Business intelligence and Data
  • Trained over 1,500 professional across 12 countries
  • Worked as a Data scientist for 18+ 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, Python, Tableau, Cognos
  • Corporate clients include DuPont, All-Scripts, Girnarsoft (College-, Car-) and many more
Read More >
Artificial Intelligence & Deep Learning Course Training - 360digitmg

Bhargavi Kandukuri

  • Areas of expertise: Business analytics, Quality management, Data visualisation with Tableau, COBOL, CICS, DB2 and JCL
  • Electronics and communications engineer with over 19+ years of industry experience
  • Senior Tableau developer, with experience in analytics solutions development in domains such as retail, clinical and manufacturing
  • Trained over 750+ professionals across the globe in three years
  • Worked with Infosys Technologies, iGate, Patni Global Solutions as technology analyst
Read More >
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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.

Alumni Speak

Nur Fatin

"Coming from a psychology background, I was looking for a Data Science certification that can add value to my degree. The 360DigiTMG program has such depth, comprehensiveness, and thoroughness in preparing students that also looks into the applied side of Data Science."

"I'm happy to inform you that after 4 months of enrolling in a Professional Diploma in Full Stack Data Science, I have been offered a position that looks into applied aspects of Data Science and psychology."

Nur Fatin

Associate Data Scientist

Thanujah Muniandy

"360DigiTMG has an outstanding team of educators; who supported and inspired me throughout my Data Science course. Though I came from a statistical background, they've helped me master the programming skills necessary for a Data Science job. The career services team supported my job search and, I received two excellent job offers. This program pushes you to the next level. It is the most rewarding time and money investment I've made-absolutely worth it.”

Thanujah Muniandy

Ann Nee, Wong

"360DigiTMG’s Full Stack Data Science programme equips its graduates with the latest skillset and technology in becoming an industry-ready Data Scientist. Thanks to this programme, I have made a successful transition from a non-IT background into a career in Data Science and Analytics. For those who are still considering, be bold and take the first step into a domain that is filled with growth and opportunities.”

Ann Nee, Wong

Mohd Basri

"360DigiTMG is such a great place to enhance IR 4.0 related skills. The best instructor, online study platform with keen attention to all the details. As a non-IT background student, I am happy to have a helpful team to assist me through the course until I have completed it.”

Mohd Basri

Ashner Novilla

"I think the Full Stack Data Science Course overall was great. It helped me formalize and think more deeply about ways to tackle the projects from a Data Science perspective. Also, I was remarkably impressed with the instructors, specifically their ability to make complicated concepts seem very simple."

"The instructors from 360DigiTMG were great and it showed how they engaged with all the students even in a virtual setting. Additionally, all of them are willing to help students even if they are falling behind. Overall, a great class with great instructors. I will recommend this to upcoming deal professionals going forward.”

Ashner Novilla


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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.

Jobs in field of Foundation programme in data science in USA

Jobs in the Field of Data Science in USA

Data science is shaping our future and driving a rise in employment opportunities across various industries. The three big roles that you can take up in this field are of a Data Scientist, Data Analyst, and Data Engineer.

Salaries in USA for Data Scientist

Salaries for Data Science In USA

The average salary for a Data Scientist is $118,309 in the United States. A data scientist with 0-2 years of experience is $96,000 and a mid-level data scientist salary is close to $125,950, and an experienced data scientist’s salary is as high as $260,000.

Foundation programme in data science Projects in USA

Data Science Projects in USA

Developing an innovative chat and voice bot, detecting fake news with Python, anomaly detection, Uber Data Analysis in R, and Gender and Age Detection are some projects students can take up to strengthen their resume.

Role of Open Source Tools in Analytics

Role of Open Source Tools in Data Science

The various open-source tools in data science help to extract, collect, store, and analyze information. They help in the process of Data mining, classification, association, regression, and clustering. The tools covered in this course are R, Python. and RStudio.

Modes of training for Foundation programme in data science with Python

Modes of Training of Data Science Course

The course in the USA is designed to suit the needs of students as well as working professionals. We at 360DigiTMG give our students the option of both classroom and online learning. We also support e-learning as part of our curriculum.

Industry Application of Foundation programme in data science

Industry Applications of Data Science in USA

Data science today has become the backbone of almost all the industries that are data-driven. The industries that are reaping the benefits of data science include finance, healthcare, manufacturing, travel, Pharmaceuticals, energy, etc. the list is endless.

Companies That Trust Us

360DigiTMG offers customised corporate training programmes that suit the industry-specific needs of each company. Engage with us to design continuous learning programmes and skill development roadmaps for your employees. Together, let’s create a future-ready workforce that will enhance the competitiveness of your business.


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