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Course Name Duration Classes Total Fee Mode of Training Class Timing
Statistics Course
3 Months
60
60,000 PKR
Online & Face-to-Face
To be decided mutually with students
Statistics Training Certification Course Pakistan

Statistics Training Certification Course

In addition to validating your technical skills, Statistics Certification can help you advance your expertise. Once Statistics Certified, you’ll be eligible for perks that help you show off your achievements and keep learning. Register for exams and claim benefits at Technocation  training.
 

Technocation provides an excellent faculty and qualified developers as there is a remarkable prospect in this field. One can make his/her Career with the help of both Statistics Training and establish an identity and get guidance in Rawalpindi.

Therefore, we aim to shape inspiring students with in-depth training to meet the requirements of the IT industry and build substantial grounds in Statistics Training by exhibiting students with various projects. Technocation also bestows the Best Statistics Training Course in Rawalpindi, Islamabad.

We guide people from every background to change their lives via our career-oriented short-term courses in Rawalpindi. Our evening and online course primarily focus on school, college, university students, and full/part-time employees.

Advantages of Learning Statistics

  • Decision-Making: Helps in making informed decisions based on data.
  • Problem-Solving: Aids in identifying trends and solving complex problems.
  • Critical Thinking: Enhances analytical skills and reasoning abilities.
  • Research: Essential for designing experiments and interpreting results.
  • Data-Driven Insights: Provides tools to understand and summarize data.
  • Professional Growth: Opens opportunities in various fields like business, healthcare, and technology.
  • Prediction: Enables forecasting trends and outcomes.
  • Communication: Improves the ability to present data clearly and effectively.

Statistics Training Certification Course Outline

Here’s a comprehensive outline for an Advanced Level Statistics course:

 Module 1:Probability Theory

  • Advanced probability distributions: Normal, Poisson, Exponential, Weibull, etc.
  • Multivariate distributions.
  • Bayes’ Theorem and its applications.
  • Advanced concepts of probability including moments, generating functions, and characteristic functions.

 Module 2:Hypothesis Testing and Inference

  • Likelihood Ratio Test, Chi-square Test, F-test.
  • Non-parametric tests: Wilcoxon, Kruskal-Wallis, Mann-Whitney U test.
  • Bayesian Inference methods.
  • Bootstrap and Resampling methods.

 Module 3:Regression Analysis

  • Multiple and multivariate regression analysis.
  • Logistic and Probit regression.
  • Generalized Additive Models (GAMs).
  • Mixed-effects models and Hierarchical Linear Models (HLM).

 Module 4:Multivariate Analysis

  • Principal Component Analysis (PCA).
  • Factor Analysis.
  • Canonical Correlation Analysis (CCA).
  • Cluster Analysis and Multidimensional Scaling (MDS).

 Module 5:Time Series and Sequential Data Analysis

  • ARIMA models and extensions.
  • GARCH models.
  • State-space models and Kalman filters.
  • Time series forecasting and predictive modeling.

 Module 6:Advanced Data Mining and Machine Learning Techniques

  • Decision Trees, Random Forests, and Boosting.
  • Support Vector Machines (SVM) and Neural Networks.
  • Dimensionality reduction techniques: t-SNE, PCA, etc.
  • Ensemble Methods and Cross-validation Techniques.

 Module 7:Statistical Computing and Software

  • Use of R, Python, SAS, SPSS, and other statistical tools.
  • Scripting and automation for statistical tasks.
  • Advanced visualization using libraries and packages in statistical software.

 Module 8:Ethics in Statistical Research

  • Handling of sensitive data.
  • Reporting and documentation best practices.
  • Understanding biases and errors in data interpretation.

 Module 9:Statistical Methods

  • Assignments and practical projects.
  • In-class exams and quizzes.
  • Presentations and discussions.
  • Final comprehensive exam or project-based assessment.

Experience and Inspiring Trainers:

Our trainers bring their years of industry experience during the course. They are expert and passionate about delivering inspiring training as they know training inside out. They will advise you on all the options to make sure you get the best possible result.
 

Real-time Practice and Projects:

A foundational understanding of statistical concepts such as mean, median, standard deviation, probability, and hypothesis testing.

 

Prerequisites for Statistics Course:

  • Basic algebra skills (fractions, percentages, equations).
  • Familiarity with arithmetic and pre-calculus concepts.
  • Completion of introductory statistics for advanced courses.
  • Optional: Programming skills (R, Python) and knowledge of calculus.

Certificate:

Finally completing this training you will receive a course completion certificate along with internship in Statistics Training so you can get recognition for your new skills.
 

Course Material:

 Softy Copy notes are briefly included in this course
 

Support and Careers Advice:

In the end our trainers are always ready to help you for any problems or question regarding Statistics. We prepare students for facing Interview questions on Statistics and help them to build their online resume. Our more than 90% students are placed in good MNCs.

“Our Student Success is Our Mission”​.