Proud to be part of  years old Women's Education Institution
R, a versatile programming language, is widely acclaimed for its prowess in statistical computing and data analysis. Its rich ecosystem of packages, coupled with robust visualization capabilities, makes it a preferred choice for data scientists worldwide. Whether exploring data, building predictive models, or creating visualizations, R empowers users to extract valuable insights efficiently in diverse industries.
Upcoming Course Schedule
Start Date
Day Type
Mode
Schedule
20th May 2024
Weekdays
Online/Offline
3 Days a week
25th May 2024
Weekends
Online/Offline
Saturday & Sunday
10th June 2024
Weekdays
Online/Offline
3 Days a week
15th June 2024
Weekends
Online/Offline
Saturday & Sunday
1st July 2024
Weekdays
Online/Offline
3 Days a week
6th July 2024
Weekends
Online/Offline
Saturday & Sunday

Course Highlights

  • Comprehensive statistical capabilities
  • Rich visualization tools
  • Extensive library ecosystem
  • Reproducible research practices
  • Open-source and free
  • Cross-platform compatibility
  • Active community support
  • Integration with other languages and tools

Top Skills You'll Learn

1
R Basics and Installation
2
Getting Started with R
3
Working with Vectors and Matrices
4
Lists and Data Frames
5
Factors, Tables, and Control Statements
6
Input and Output Operations
7
Data Manipulation with dplyr: Filtering, Selecting, Mutating, and Summarizing Data
8
Exploring Data Distributions: Descriptive Statistics and Visualization
9
Data Visualization with ggplot2: Plotting Basics, Scatter Plots, Bar Charts, Box Plots and Histograms
10
Working with Strings and Dates, Statistical and Mathematical Functions
11
Assignments and Case Study
Accredited Training Partners

Eligibility Criteria

ait-eligibility-criteria
  • Any 10th pass student, Diploma holder, Graduate, Final Year Appearing students, Working Professionals who want pursue a career in Data Science
  • Graduate / Post Graduates, Industry Professionals, those who want to reshape their IT Career
  • The candidate with a bachelor’s degree in any discipline including Engineering, Science, Commerce, Medicine, Agriculture, Pharma, Mass Media, or any other branch of education
  • Candidate with professional qualification like CA, ICWA, CS is also eligible for this course
  • Candidates appearing for the final year bachelor’s degree/equivalent qualification examination
  • Those who have completed the degree requirement and are awaiting results can also apply

Insights from Students

The part time PGP is a very comprehensive course.Suitable to persons from all age groups.Faculty is a good combination of academicians and experts from industry.The course is helpful for getting knowledge as well as placement.

Ketaki Kher

The teaching at MKSSS AIT is very organized and the trainers are experienced people from industry... really useful for the current work I am doing. At the same time the teachers from AIT give enough lab time to try our hands at.. enjoying learning here!!!

Meenakshi Kulkarni

Glad to participate in the weekend PGP course. Knowledgeable and helpful faculty. Course content is comprehensive, and attention is given on an individual basis

Saloni Malwade
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AIT's Remarkable Placements

The Academy of Information Technology (AIT) is a leading force in Data Science, Machine Learning, and Artificial Intelligence, evident in its remarkable placement record. AIT's curriculum stays current with industry trends, ensuring graduates are well-prepared and at the forefront of advancements in data science, machine learning, and AI.

AIT is the best place for people who want to succeed in data science and artificial intelligence. With our focus on excellence, extensive industry relationships, and innovative teaching approach, we pave the way for your achievements.
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AIT's Competent Instructors

At AIT, our teachers are experts in Data Science, Machine Learning, and AI. They're chosen for their top qualifications and real-world experience. This means students get a great education mixing theory with practical skills.

Meet our accomplished faculty and discover how their passion and knowledge empower the next generation of professionals in data science and AI.

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