nrtechnologies.org

Certificate in
Foundation of Data Analytics & Science

A Data Science and Analytics Foundation course typically covers foundational concepts in mathematics, statistics, programming, data handling,  visualization and machine learning. It also often includes an introduction to big data technologies and cloud computing. Key areas include: Python and R programming, data manipulation and analysis, statistical methods, machine learning algorithms, and data visualization tools like Tableau and Power BI. 

Learning Mode

Offline | Live Online

Course Duration

60-90 Hours

Skill Certification

Skill Certificate

Industry Expert Trainers

Learning from Industry Experienced Expert Trainers 

Career Guidance

Career Guidance by Industry Experts

Employability Skills

Employability and Life Skills for Job Placement & Career

Foundation of Data Analytics and Science Course Curriculum
Skills and Technologies Covered

 Foundations
  • Introduction to Data Science and Analytics
  • Mathematical and Statistical Foundations
  • Programming Fundamentals
  • Data Handling and Manipulation
  • Data Visualization

Core Data Science and Analytics Concepts

  • Machine Learning
  • Big Data Technologies
  • Cloud Computing

 Advanced Topics (depending on the course level)

  • Deep Learning
  • Natural Language Processing (NLP)
  • Data Mining

Practical Application

  • Real-world Case Studies and Projects
  • Project Management
  • Data Ethics and Privacy
 
  • Required IDEs
  • Required Software Tools and Frameworks
  • Exercises, Assignments and Projects

Course Structure

  • Module 1: Introduction to Data Science and Analytics
  • Module 2: Programming with Python and R
  • Module 3: Data Manipulation and Visualization
  • Module 4: Statistical Analysis and Modeling
  • Module 5: Machine Learning Fundamentals

Course Structure

  • Module 6: Big Data and Cloud Computing
  • Module 7: Advanced Topics (e.g., Deep Learning, NLP)
  • Module 8: Project Work and Case Studies
  • Module 9: Data Ethics and Privacy

Why learn Foundation of Data Analytics and Science Course from NR TECHNOLOGIES ?

Key Highlights of the Training Program

Mode of Training

Classroom
Live Online
Week Days | Weekend

Course Duration

 60-90 Hours curated for Emerging Tech Learning Aspirants career 

Hands-On Practice

Hands-On Practices, Exercises  by Industry Expert Trainers & Mentors

Skill Certification and
Career Guidance

Industry valid Certification and Career Guidance by Industry Expert

Software Tools and Frameworks covered

Disclaimer: NR TECHNOLOGIES reserves the right to modify, amend or change the structure of module & the curriculum, as per govt. guidelines and industry requirements

Progression Pathway of this Program

Who can enroll in Foundation of Data Analytics and Science Course ?

Foundation Skill Training Program Process Flow

1. Apply
Online | Offline

Fill and apply to the course with applicant required details

2. Orientation & Counselling

Review your application then orient, counsel & finalize the right domain skills and career path

3. Enrollment & Skill Training

Enroll candidate selected skill course(s)  and pay the course fee and proceed the course

4. Skill Certification

Assess candidate skills and provided industry valid certificate

5. Career Guidance

Career Guidance will be provided by Industrial Experts

Upcoming Batch Schedule

Training Start Date Name of Course(s) Start Mode of Training Batch Mode Training Conduction Time Schedule Batch Time & Duration Course Fee Offer Last Date to register avail Fee Offer Are you interested to Join?
03 Feb 2025
All Courses
Class Room
Weekdays
(Mon – Fri)

Weekend
(Sat-Sun)
07.00 AM – 10.00 PM

Learners’ can choose any 1.5 Hrs to 2 Hrs batch track
1.5 Hours Session/Day
50%
02 Feb 2025
03 Feb 2025
All Courses
Live Online
Weekdays
(Mon – Fri)

Weekend
(Sat – Sun)
As per Learners’ convenient time schedule
1.5 Hours Session/Day
50%
02 Feb 2025
03 Feb 2025
All Courses
Hybrid
Live Online -Weekdays
Weekend

Offline- Practical & Doubt Resolution Sessions
( As per requirement-Weekend or Weekdays
As per Learners’ convenient time schedule
1.5 Hours Session/Day
50%
02 Feb 2025
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