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Statistics, a fundamental discipline in data analysis, provides tools and techniques for making sense of complex datasets. Its principles underpin decision-making processes in various fields, from science and business to social sciences and healthcare. Understanding statistics enables individuals to draw reliable conclusions from data and make informed decisions.
Upcoming Course Schedule
Start Date
Day Type
20th May 2024
3 Days a week
25th May 2024
Saturday & Sunday
10th June 2024
3 Days a week
15th June 2024
Saturday & Sunday
1st July 2024
3 Days a week
6th July 2024
Saturday & Sunday

Course Highlights

  • Practical Application
  • Foundational Concepts
  • Descriptive Statistics
  • Inferential Statistics
  • Regression Analysis
  • Experimental Design
  • Probability Theory
  • Statistical Software
  • Data Visualization
  • Real-World Projects
  • Practical Tips and Tricks

Top Skills You'll Learn

Foundations of Statistics
Measures of Central Tendency and Dispersion
Descriptive Statistics and Inferential Statistics
Introduction to Population vs. Sample, Variables, and Parameters
Probability Theory: Basic Probability Rules and Distributions
Measures of Central Tendency and Dispersion: Mean, Median, Mode, Variance, and Standard Deviation for Population and Sample.
Graphical Representation of Data: Histograms, Box plots, and Scatter Plots
Summarizing Data: Frequency Distributions, Percentiles, and Quartiles
Exploring Relationships: Correlation Analysis and Covariance
Hypothesis Testing: Formulating Hypotheses, Types of Errors, and p-values
Confidence Intervals: Estimating Population Parameters from Sample Data
Comparing Means and Proportions: t-tests, ANOVA, and Chi-Square Tests
Assignments and Case Study
Accredited Training Partners

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

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.

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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