What you'll learn:
- Get an understanding of Elementary and Advanced Statistical Techniques
- Understand Machine Learning Techniques
- Write Programs in R
- Apply Statistical and Machine Learning Techniques using R
- Solve real life business problems using Machine Learning and R
Course offers:
- We offer one-on-one or group tutoring sessions in a variety of subjects.
- Experienced tutors who provide personalized instruction and guidance.
- Interactive virtual classrooms with video and audio communication.
- Access to numerous educational resources and study materials.
- Online chat or messaging for communication outside of tutoring sessions.
- Integration with other online learning platforms or tools.
Requirements:
- Reliable internet connection to ensure smooth video streaming and communication.
- You will require an audio- and video-capable computer, laptop, or mobile device.
- Some examples of updated web browsers include Google Chrome, Mozilla Firefox, and Safari.
- Necessary software or applications, such as video conferencing tools or learning management systems.
Course content:
Duration : 130 hours
- Class #1: Basic Statistics – Central Tendency and Dispersion
- Class #2: Introduction to Probability Theory
- Class #3: Probability Theory Applications
- Class #4: Probability Distributions – Discrete
- Class #5: Probability Distributions – Continuous
- Class #6: Sampling Theory Introduction
- Class #7: Estimation Theory - Introduction
- Class #8: Estimation Theory Applications Python
- Class #9: Testing of Hypothesis – Introduction
- Class #10: Parametric Tests – Large and Small Sample Tests
- Class #11: Non-Parametric Tests – Chi-square
- Class #12: Correlation and Simple Linear Regression
- Class #13: Multiple Linear Regression
- Class #14: Logistic Regression
- Class #15: Machine Learning Introduction
- Class #16: Supervised Learning
- Class #17: Unsupervised Learning
- Class #18: Supervised Classifiers – Decision Tree, Random Forest
- Class #19: Supervised Classifiers – Naïve Bayes, SVM
- Class #20: R Introduction
- Class #21: Basic Programming in R
- Class #22: Statistical Analysis using R
- Class #23: Machine Learning using R
- Class #24: Business Problem Solution
- Class #25: Business Problem Solution
Skills you will acquire:
- Data Science
- R programming and its packages
- Data Analysis
Book Demo Class
Description:
Data science is a multidisciplinary field that involves extracting insights and knowledge from data using various techniques and tools. R is a popular programming language and environment specifically designed for data analysis and statistical computing.
$700 $1000 30% off
Book Demo Class
